Amazon status: access issues and outage reports

Problems in the last 24 hours

The graph below depicts the number of Amazon reports received over the last 24 hours by time of day. When the number of reports exceeds the baseline, represented by the red line, an outage is determined.

Most Reported Problems

The following are the most recent problems reported by Amazon users through our website.

• Website Down (44%)
• Errors (31%)
• Sign in (24%)

Live Outage Map

The most recent Amazon outage reports came from the following cities:

City	Problem Type	Report Time
Natal	Errors	23 minutes ago
Gourdon	Website Down	10 hours ago
London	Sign in	1 day ago
La Coucourde	Website Down	1 day ago
Berlin	Sign in	1 day ago
Paris	Errors	2 days ago

Full Outage Map

Community Discussion

Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.

Beware of "support numbers" or "recovery" accounts that might be posted below. Make sure to report and downvote those comments. Avoid posting your personal information.

Amazon Issues Reports

Latest outage, problems and issue reports in social media:

• 
  iAbhijeet Gitte (@abhi_gitte1212) reported 7 minutes ago

  @AmazonHelp Today is 20 Aug. My issue still not resolved

• 
  CTK Capital Intelligence (@CTKCapitalIntel) reported 9 minutes ago

  CTK Capital Intel Report Wednesday, August 19, 2026 The close: Dow: 53,463.11 — +119.71 (+0.22%) S&P 500: 7,708.35 — +16.59 (+0.22%) Nasdaq: 26,331.09 — +41.379 (+0.16%) Nasdaq 100: 29,426.023 — −64.935 (−0.22%) Russell 2000: 3,032.163 — +14.276 (+0.47%) At 8:50 this morning, the department announced it will at least double the maximum size of its debt buyback operations — from $2 billion to at least $4 billion — targeting the 10-to-20 and 20-to-30 year segments specifically. That's the part of the curve that has seen what CNBC accurately called a buyers' strike since late June. The program runs September 9 through November 4. The reaction was immediate. The 10-year fell 6 basis points to 4.647%. The 30-year dropped 9 basis points to 5.196% — one trading day after touching a 19-year high above 5.33%. Equity futures jumped. This is the sequence I wrote about yesterday, arriving faster than expected. Bessent has spent three weeks signaling he'd act to keep long yields from spiraling — buying yen to stop Japan becoming a forced seller of Treasuries, pushing to expand the Fed's FIMA repo facility, holding the line on issuance guidance. Today he used the balance sheet directly. Then the FOMC minutes landed, and said the opposite. Fed officials indicated rates may need to rise soon unless inflation cools. Many participants judged that further tightening would likely be necessary if inflation didn't decline. Some questioned whether financial conditions are even restrictive enough at present. In the same afternoon, Treasury moved to push long-term borrowing costs down while the Federal Reserve signaled short-term rates may need to go up. Fiscal policy and monetary policy are now pulling in opposite directions on the same curve. That's not a contradiction to be resolved by the end of the month. It's the defining tension of the next two quarters. Wells Fargo's fixed income desk noted the underlying drivers of rising yields remain in place — a buyback doesn't retire debt, it changes which maturities the government owes. And the precedent isn't encouraging: the administration's earlier push to have Fannie and Freddie buy mortgage bonds initially lowered mortgage rates, and the relief faded within months. The program window also happens to overlap the final stretch of the midterm campaign, which is a fact rather than an accusation, and one every desk on the Street noticed. $TGT posted comparable sales up 3.8% against 2.4% expected, driven by comparable traffic up 3.6% — almost all of the growth from more people walking in rather than higher prices. Net sales rose 5.3% to $26.5 billion and full-year guidance went up. But $1.65 of the $4.11 in reported EPS came from tariff refunds; strip those and earnings grew 20%, not 100%. That's the second retailer in two days flattered by the same item after Home Depot's $730 million. The category split is the tell: food and beauty strong, apparel and home weak. That's a consumer trading down, not a consumer breaking. $PLTR finished up more than 2% with no company-specific news attached. That's now the pattern rather than the exception — the stock has been repricing in steps since the August 4 print, and days with no catalyst going up is what momentum looks like on the way in. Palantir remains the largest position in Convergence. $AMZN also gained more than 2%, which matters more given where it started. Amazon has been the only red position across all three portfolios, and it's the one where the thesis — that the market has it filed under the wrong industry, with AWS and advertising invisible inside a retail classification — requires patience rather than a catalyst. Two percent doesn't change that. But Target's digital comps rose 8.7% today with same-day delivery up more than 25%, which tells you the convenience war Amazon defined is now the battleground everyone is fighting on, and Amazon is still the one setting the terms. What to watch. Walmart reports before the open tomorrow, and it's the print that settles the consumer argument — the closest thing to a single read on household behavior across every income band. Deere also reports, the best available industrial read-across. Then Q2 GDP and Nvidia on the 26th, and Jackson Hole on the 28th, where Warsh either confirms or walks back what those minutes just said. A Treasury Secretary pushing long rates down and a Fed chair warning rates may need to go up, on the same day. Somebody is going to be wrong, and the bond market is going to decide which one. Educational only. Not financial advice.

• 
  Dark Knight (@11DarkKnight11) reported 10 minutes ago

  @Jaime91340945 @DutchDane59 Yes, you can swap batteries, screens, etc. If your phone (carrier) uses a SIM, there are MANY brand new "older phones" for sale on eBay and Amazon for under $200. Buy it, pop in your old SIM and away you go. No need for a "new contract", just fix or grab a new, old phone.

• 
  Punished Ho Ho Ho Chi Minh (@HoHoHoChiMinh4) reported 12 minutes ago

  @Koookiiing Amazon is terrible. It has a better selection, but Walmart plus is cheaper and has way less third party options.

• 
  Manish Arora (@simplyBazinga) reported 15 minutes ago

  @AmazonHelp Team, share a link again. Was told the issue would be resolved till 19th & if not then I should contact back

• 
  Mikemira (@storiesbyohama) reported 24 minutes ago

  Pets .com had a famous sock puppet, millions in funding, and a stock-market debut. Nine months later, it was dead. So what went wrong? At first, everything looked right. Pets .com sold pet supplies online. Amazon backed it. Investors gave it money. The company spent heavily on advertising, including a Super Bowl commercial, and the sock puppet became famous. But here was the problem nobody could advertise away: Pets .com was losing money on the products it sold. Think about that. If you sell something for $7 but it costs you more than $7 to buy, ship, and deliver it, what happens when sales grow? You lose money faster. That is exactly what happened. Pets .com offered discounts and cheap shipping to attract customers. But products like pet food and cat litter were heavy, making delivery expensive. Its gross margin stayed negative. By November 2000, the company had accumulated a $156.3 million deficit. Then the funding dried up. Pets .com contacted more than 50 potential investors and buyers. Nobody stepped in. On November 7, 2000, it announced the shutdown and laid off about 255 of its 320 employees. The crash exposed a business that never had healthy economics. What should you learn? As a founder, don't confuse attention with traction. You need to know: Does every new customer bring me closer to profit - or closer to disaster? And as an investor, don't let a brilliant brand distract you from ugly numbers. I would rather invest in a boring company with strong economics than a famous company losing money on every sale. Because when the money stops coming, the brand can't save you.

• 
  Birdies and Barolo (@Birdies_Barolo) reported 25 minutes ago

  @XRPspider You knowingly paid 28 dollars for 3 bottles and got 3 bottles. How is this an amazon problem?

• 
  Sarada Ghosh (@SaradaGhosh1) reported 26 minutes ago

  @AmazonHelp Thanks for getting back to me so soon. I had a chat with the customer service member but my issue still remains unresolved. I have been asked to wait for two more days for the refund. I'm a regular customer on Amazon & ths hs nvr hpnd before. I hope that I don't get disappointed

• 
  AmzWithMe (@AmzWithMe) reported 26 minutes ago

  @SteveFrenchAMZ Let Amazon talk me into selling my listings in Canada. Very quickly, i got hit with listing issues because my grocery products were not in French. Within 3 months, they closed my Canada store for non compliance. Amazon screwed it up and I took the heat. No thank you.

• 
  Despicable Mee (@despicablemee14) reported 28 minutes ago

  @AmazonHelp Lets see. I have entered the details. I dont have much hope though, you people can’t even keep same person on an issue. Each timr a new person responds and everyone is taught to act lile a bot.

• 
  Sabir Semerkant (@SabirS) reported 29 minutes ago

  Amazon -- The Volume Play When it makes sense: -> Your product solves a problem people actively search for -> Your category is not completely dominated by Amazon's own brands -> Your margins can absorb 30-40% in total Amazon fees -> You have the operational capacity to manage a separate channel When it does not: -> Your brand story is your primary differentiator (Amazon strips brand identity) -> Your margins are below 60% gross (you will lose money after fees) -> Your product requires education to sell (Amazon is for impulse and search) -> You do not have the resources to manage Amazon as a separate business The key rule: never put your bestseller on Amazon at the same price as your website. Create Amazon-specific bundles, sizes, or SKUs.

• 
  Flying Hamster (@flyinghamster81) reported 31 minutes ago

  ups drives down my dead-end block. backs into my neighbor's drive across street. drops off package, leaves. amazon notifies me delivered. i look for my package and can't find it. wonder if they delivered to neighbor incorrectly. walked over and peeped the address label. not mine

• 
  RVDuszIII (@GrampsMtb) reported 31 minutes ago

  @Canyondan @KINGGGE_ Our instant-on started acting up and the technician said it’s cheaper to replace after 10 years than trying to figure out its issue. They quoted $4,800 to R&R the unit. I checked and it was $1,200 on Amazon. Took 4 hours which included a trip for some new parts.

• 
  Geno Justice (@7obsidianflakes) reported 32 minutes ago

  @BuzzPatterson Most people underestimate the complexity of the supply chain issues for these advanced military products. It’s not like you can just order them from AutoZone or Amazon. Every item requires technical production capability and a yuge budget increase to meet demands.

• 
  VengeanceOfSet (@VengeanceOfSet) reported 33 minutes ago

  @XRPspider You are the problem in this scenario. You paid for it. You saw the price was ludicrous and still paid for it. At that point you no longer have a say in what happens behind the scene. If someone else makes a profit off your bad decision that's not their fault. You're literally paying up front for them to provide this scam service. Amazon is there to give you the choice of shopping options not tell you you're making bad decisions.

• 
  Nick Volpe (@nvolpewild) reported 34 minutes ago

  @sean_larabee @OtorongoLodge Obviously I know that? Gold is extracted throughout the world both legally and illegally. The issue here in the Amazon is that more demand is destroying protected forest, where that be from USA, Europe, china and India or whoever

• 
  Jim Bilello (@JimBilello) reported 34 minutes ago

  @Affirm @amazon Thank you for your response. It’s very simple. Your servers are slow and outdated so when you connect a different payment method to pay for an Amazon order, Affirm wants to send a code which it sent. Then it wants to send another code which it did not send and your servers are so slow that it took over five minutes for the codes to come by that time I had abandoned the transaction have your developers and your techs examine the response time of sending codes through the Amazon interface it takes entirely too long.

• 
  Ambuj Chauhan (Advocate) (@advambujchauhan) reported 36 minutes ago

  Amazon has become a truly terrible company. I am an Amazon seller, and my shipments haven't been picked up for over 115 days. I have lodged complaints more than 60 times, yet no pickup has taken place, nor have I received any calls regarding this matter. @AmazonJP

• 
  Enjoyingtheviews (@LuisMor86286611) reported 37 minutes ago

  @XRPspider Gonna file this one under the folder of "Things that never happened"! You went to Sam's. You paid for the Crest, then tried to make Amazon look bad. If that's the issue, cancel your membership with Prime and go shopping yourself. There, problem solved.

• 
  hello kitty jr.★ (@SanrioPrincesa) reported 41 minutes ago

  Amazon needs to supply you with everyone’s MyChart the way they get down over there.

• 
  JRichardson (@KingdomsCometh) reported 43 minutes ago

  @XRPspider Engagement bait? 🤔 Who sees a product for $8 then turns around and buys it for $28 from Amazon? 🤨 YOU are the arbitrage problem.

• 
  koto2992 (@koto2992) reported 44 minutes ago

  @GaryleeGray @AmazonHelp @XRPspider The underlying issue is the OP is lazy and wouldn't get off their *** to go get it themselves, and also too lazy to compare prices. Amazon, is full of issues, but this case was not one of them.

• 
  Tony Kirkwood (@My5cherriepies) reported 47 minutes ago

  CHAMPIONSHIP VAR WILL COME INTO FORCE BECAUSE OF AMAZON & FACEBOOK OWNER'S NEEDING MONEY, IE MORE INVESTORS MEANS MORE CORRUPT MONEY CIRCULATING FOR THEM ALL TO SHARE, IE VAR TO FIX EVEN MORE GAME'S, NOW IN THE CHAMPIONSHIP 👍

• 
  Pyro Fritz (@PyroFritz) reported 54 minutes ago

  @DannymcLeod15 FOR ENTERTAINMENT AND EDUCATIONAL PURPOSES ONLY! I was once using Aqua Regea (nitric acid and hydrochloric acid available on Amazon) to dissolve computer boards and leech the gold and other metals out. I left it out to air out as it did its thing. I was on my porch in the backyard, a small one with iron rod rails. Anyway, it ATE EVERYTHING made of metal out there. I hade to work my *** off Nuetralizing it with baking soda. At first it looked like slight discolored, then full blown existential crisis of everything dissolving. Screws in the doors, electrical plugs, aluminum, copper, steel, stainless steel, electrical wires, plumbing, solder, EVERYTHING was corroded. Also it was dangerous because if you add a little water and one other thing, it becomes hydrazine, a contact explosive and rocket fuel. I found that out after I tried precipitated the formula. Luckily only a little spray out of a bottle had dried before it ignited. It wont do that until it dries. Interesting I thought it didnt matter but keep it wet! So, that stuff will corrode until its neutralized and the fix is catastophic. Safely use the proper plastic water bottles to keep it inert during transportation. irreversible property damage.

• 
  TheValueist (@TheValueist) reported 55 minutes ago

  FINANCIAL AND COMMERCIAL IMPLICATIONS FOR CEREBRAS Cerebras’s operating momentum is strong. Q2 2026 core revenue was $209.9 million, up 103 percent year over year, while core cloud and other services revenue was $127.7 million, up 287 percent. Core gross margin was 40.6 percent, including 38.8 percent for hardware and 41.8 percent for cloud and other services. Full-year 2026 guidance calls for $880-$890 million of core revenue, 41-43 percent core gross margin, and negative 19 to negative 17 percent core operating margin. Q3 guidance calls for $214-$216 million of core revenue and 38-40 percent core gross margin. CS-4 therefore enters production during a period of extraordinary revenue growth but before the business has demonstrated sustained operating profitability. The distinction between GAAP and core performance is material. Q2 GAAP revenue was $180.1 million and GAAP gross margin was approximately 14 percent. Core figures exclude pass-through data-center revenue and cost, customer-warrant amortization, stock-based compensation, and other adjustments. Core metrics are useful for isolating product and service economics, but the excluded items represent real economic considerations. Customer warrants dilute shareholders, data-center costs require capital and execution, and stock-based compensation transfers value to employees. The $25.4 billion remaining performance obligation is commercially significant but should not be valued like high-margin software backlog. A substantial portion is associated with OpenAI, and approximately 22 percent is expected to be recognized during the initial 24 months through June 2028, 43 percent during months 25-48, and the balance thereafter. The amount includes certain data-center pass-through costs such as rent, leasehold improvements, security, power, and utilities where the associated leases have been recognized. Some additional variable pass-through costs are excluded until determinable. The headline RPO therefore overstates the amount of proprietary high-margin technology revenue and remains subject to construction, power, deployment, service-level, and customer-timing execution. OpenAI is contractually committed to purchase 750 MW of inference capacity over a multi-year term and has an option for an additional 1.25 GW by the end of 2030. The initial arrangement includes a roughly $1 billion secured working-capital loan and capacity-delivery milestones. Failure to deliver specified tranches on time or sustained service-level failures can permit OpenAI to terminate portions or all of the agreement, and certain termination events can accelerate repayment of the working-capital loan. CS-4’s manufacturing and deployment improvements materially reduce this execution risk. Customer concentration remains extreme. In Q2 2026, the largest 3 customers represented 34 percent, 32 percent, and 10 percent of revenue, or 76 percent in aggregate. 2 customers represented 76 percent of accounts receivable at quarter-end. A successful CS-4 ramp can generate extraordinary growth because large anchor customers already exist, but any deployment delay, renegotiation, model-strategy change, pricing dispute, or competitive substitution at a major customer can produce significant quarterly volatility. The AWS partnership is strategically attractive but contains meaningful constraints. The agreement includes an initial multi-year system lease, future procurement options, pricing commitments, exclusivity, minimum manufacturing-capacity guarantees, and other AWS protections. These provisions can provide anchor demand and distribution through AWS, but they may restrict sales to selected competitors, limit pricing flexibility, reserve production capacity that could otherwise serve higher-margin customers, or create excess inventory if AWS does not exercise additional procurement options. Capital intensity is substantial. Cerebras spent $548.9 million on property and equipment during 1H 2026, primarily for systems supporting its cloud services, and entered into additional data-center leases with approximately $2.3 billion of undiscounted future payments after quarter-end. The modular rack can improve deployment efficiency, but it does not transform Cerebras into an asset-light cloud business. Revenue growth requires wafers, racks, networking, power, cooling, facilities, and working capital. Free-cash-flow conversion and return on invested capital will depend on utilization and pricing rather than accounting revenue growth alone. The shift toward cloud and other services can increase recurring revenue and strengthen customer relationships, but it also places more asset risk on Cerebras. Hardware sales transfer utilization and residual-value risk to the customer. Cloud deployments retain those risks on Cerebras’s balance sheet in exchange for potentially higher lifetime revenue. The optimal mix depends on financing cost, contract duration, minimum commitments, residual hardware value, power pricing, and service utilization. CS-4 can improve capital efficiency if the same installed wafer generates materially more billable tokens without a proportionate increase in full-cluster cost. It can impair capital efficiency if higher power, complementary prefill capacity, networking, and memory requirements absorb most of the performance benefit. Revenue per rack, gross profit per rack, and gross profit per megawatt are therefore more informative than raw tokens/s/user. DILUTION AND VALUATION The share structure materially raises the hurdle for equity returns. As of August 5, 2026, Cerebras had approximately 112.2 million Class A shares, 111.6 million Class B shares, and 13.7 million Class N shares outstanding, for approximately 237.6 million basic shares. The economic and liquidation rights are identical across the classes, although Class B carries 20 votes per share and Class N is nonvoting. At $220.01, the resulting basic equity value is approximately $52.3 billion. Potential dilution is material. Approximately 76.0 million potential shares were excluded from diluted loss per share because they were anti-dilutive, including contingent warrants, options, RSUs, and performance-based awards. That amount equals approximately 32 percent of current basic shares. Not all instruments will vest or exercise, and option proceeds partially offset dilution, but the magnitude is too large to ignore when evaluating long-duration per-share value. OpenAI received a warrant for up to approximately 33.4 million Class N shares at a nominal exercise price, representing approximately 14 percent of current basic shares if fully vested and exercised. Vesting is tied to funding, capacity delivery, additional capacity, customer payments, and market-capitalization milestones. Approximately 10.0 million shares had satisfied vesting conditions by June 2026. AWS received a warrant for up to approximately 2.7 million Class N shares at a $100 exercise price. These instruments align strategic customers with Cerebras but transfer a meaningful portion of successful execution economics from existing shareholders to anchor customers. At approximately 59.1x 2026 core revenue and a negative core operating margin, the valuation discounts a substantial portion of the OpenAI contract, the 2027 revenue acceleration, successful CS-4 deployment, sustained premium pricing, improving gross margins, and continued technology leadership. At exactly 3x the 2026 revenue midpoint, the current basic equity value would equal approximately 19.7x 2027 core revenue. Potential dilution would increase that multiple on a fully diluted basis. The investment case therefore requires more than rapid revenue growth. Sustained growth after 2027, materially improving cash economics, high utilization, strong renewal behavior, successful capacity delivery, and a durable moat against NVIDIA, AMD, hyperscaler ASICs, and other specialized inference systems are required. A company can execute strongly at the operating level and still deliver poor equity returns when the entry valuation capitalizes a large share of future success. CBRS closed at $220.01 on August 18, down approximately 12.69 percent, compared with declines of approximately 2.38 percent for NVIDIA and 4.24 percent for AMD. The relative underperformance indicates that the CS-4 announcement did not provide sufficient incremental information to offset the day’s selling pressure or the company-specific expectations already embedded in the stock. Causality cannot be assigned from 1 trading session, but the reaction is consistent with a market that requires financial proof rather than additional peak-performance claims. PUBLIC-MARKET READ-THROUGHS CEREBRAS SYSTEMS The read-through for Cerebras is fundamentally positive and valuation-neutral to negative. CS-4 improves per-user performance, deployment velocity, manufacturing scalability, repairability, ecosystem connectivity, and the probability of delivering contracted megawatts. It does not directly resolve memory capacity, raw performance-per-watt limitations, customer concentration, capital intensity, or dilution. The product should support 2027 revenue execution but should not independently drive a higher valuation multiple without production evidence on throughput per megawatt, price realization, utilization, reliability, and gross margin. NVIDIA The read-through for NVIDIA is modestly negative as evidence that a non-GPU architecture can produce commercially differentiated latency on frontier models. Cerebras’s OpenAI deployment validates demand for specialized SRAM-based decode and weakens the proposition that GPUs will capture every inference workload. The effect on NVIDIA’s broader thesis is limited because NVIDIA has already responded through the non-exclusive Groq license, Groq 3 LPX, Rubin, Dynamo, NIXL, BlueField, and integrated networking. NVIDIA’s emerging architecture mirrors the same heterogeneous principle: large-capacity HBM GPUs for broad compute and prefill, paired with specialized SRAM accelerators for low-latency decode. The larger competitive risk to Cerebras is that NVIDIA can deliver this architecture through a unified software, networking, systems, and commercial ecosystem. NVIDIA can also cross-subsidize specialized decode with broader platform economics and use its installed base to reduce adoption friction. ADVANCED MICRO DEVICES The read-through for AMD is modestly positive. Cerebras plans to deploy AMD Helios in its data centers, creating incremental Instinct demand and giving AMD a credible route into premium ultra-low-latency serving without developing a dedicated SRAM inference processor internally. Helios provides high-throughput prefill and large-context processing, while WSE supplies low-latency decode. The partnership also highlights a gap in AMD’s standalone portfolio: Cerebras is required because Helios alone is not positioned as the fastest batch-1 decode engine. The financial materiality to AMD remains uncertain, and the up-to-5x tokens/s/W figure compares the joint configuration against WSE-only rather than against NVIDIA. AMD benefits if heterogeneous inference becomes standard, but the value capture between AMD, Cerebras, the cloud operator, and the application provider remains uncertain. AMAZON WEB SERVICES The read-through for AWS is positive. Trainium plus Cerebras can create a differentiated Bedrock fast tier while preserving AWS control over prefill, networking, data-center deployment, and customer distribution. EFA compatibility and programmable I/O reduce integration risk. Contractual pricing, exclusivity, capacity guarantees, and an equity warrant suggest that AWS has negotiated substantial strategic and financial protections. The partnership gives Cerebras distribution, but AWS retains meaningful bargaining power and can continue developing alternative inference architectures. AWS can route workloads among Trainium, NVIDIA, AMD, Cerebras, and future internal accelerators. Cerebras therefore gains access to AWS demand while potentially becoming 1 component in a broader AWS-controlled stack. ARISTA NETWORKS AND ETHERNET NETWORKING The read-through for Arista and the broader Ethernet ecosystem is modestly positive. The network design uses Arista switches in a 2-layer fat-tree and supports RoCE v2 connectivity. Heterogeneous prefill-decode clusters create more east-west traffic, KV-cache movement, accelerator-to-accelerator communication, and demand for low-latency Ethernet. Direct wafer links partially offset this benefit by bypassing switches for selected local paths. The net effect favors Ethernet at cluster boundaries while preserving proprietary scale-up links inside tightly coupled accelerator domains. The more disaggregated inference becomes, the more network bandwidth, telemetry, congestion control, and orchestration become part of application performance. FLEX AND SANMINA The read-through for Flex and Sanmina is positive but likely immaterial relative to their consolidated scale until Cerebras volumes become substantially larger. Cerebras has added manufacturing lines at Flex, Sanmina, and Rocket EMS as part of a planned greater-than-10x manufacturing-capacity increase. CS-4’s lower component count and greater automation may reduce assembly revenue per rack but should increase unit volume, testing demand, and systems-integration activity. Contract manufacturers may also benefit from spares, refurbishment, testing, and future chassis upgrades. The economic contribution will depend on volume, manufacturing complexity, pricing, and whether Cerebras internalizes additional assembly over time. TSMC The read-through for TSMC is modestly positive. Cerebras has secured additional wafer supply and continues to consume 5nm capacity without relying on 3nm or CoWoS. The absolute volume is unlikely to be material to TSMC in the near term, but it demonstrates continued AI demand for mature advanced nodes outside the dominant GPU and custom-ASIC supply chains. Reusing WSE-3 also reduces near-term tape-out risk and should support more predictable wafer orders. HBM SUPPLIERS The direct read-through for HBM suppliers is mixed. Cerebras avoids HBM inside the WSE, substituting SRAM for decode and reducing HBM content in the specialized decode portion of a cluster. However, CS-4’s inability to solve model and KV-cache capacity internally increases the need for HBM-based prefill systems and complementary memory-rich accelerators. Long-context and high-concurrency workloads therefore move HBM demand rather than eliminate it. If Cerebras expands the total market for premium inference and accelerates agentic token consumption, aggregate HBM demand could still rise despite lower HBM intensity in the decode phase. Given Cerebras’s current scale relative to the total AI accelerator market, the near-term effect on HBM demand is likely neutral to modestly positive. POWER AND LIQUID-COOLING INFRASTRUCTURE The thematic read-through for high-density power distribution, liquid cooling, heat rejection, switchgear, busway, and data-center electrical equipment is positive. A 125-135 kW rack requires direct liquid cooling and modern high-current power infrastructure. The move toward specialized accelerators does not reduce the power bottleneck. CS-4 explicitly exchanges substantially higher power for higher speed. Greater performance density increases the economic value of scarce megawatts but also raises the capital required to deliver each rack. Data-center operators must support higher rack density, greater heat flux, redundant pumping, coolant distribution, water treatment, leak detection, and more sophisticated power monitoring. Accelerators may change which vendor captures compute economics, but the industry remains constrained by electricity and physical infrastructure. SCENARIO FRAMEWORK BULL CASE The bull case requires CS-4 to demonstrate approximately 2x production interactivity across major frontier models, materially better aggregate throughput per watt than the raw specifications imply, stable operation at the higher power envelope, and rapid deployment into OpenAI, AMD, and AWS environments. Premium fast tiers would need to sustain meaningful price premiums and high utilization, while disaggregated inference would need to deliver the modeled 5-10x system-level throughput improvements without excessive network, software, or reliability overhead. Manufacturing capacity would scale on schedule, the 600 MW pipeline would become productive, OpenAI would exercise incremental capacity, and CS-5 would increase SRAM capacity or otherwise reduce the long-context footprint. Cloud gross margin would expand as utilization improves and installation costs decline. Revenue growth would remain elevated beyond 2027, customer concentration would fall as new deployments scale, and dilution would be outweighed by a substantially larger earnings base. Under that outcome, the company could grow into the current revenue multiple despite significant share issuance. BASE CASE The base case is that CS-4 delivers approximately 2x per-user speed and approximately 3x rack performance but only modest raw performance-per-watt improvement. The modular platform improves shipment and installation execution, while AMD and AWS disaggregation provide material but workload-dependent efficiency gains. Ultrafast serving becomes a valuable premium segment rather than the dominant inference architecture. Cerebras more than 3x revenue in 2027, but core gross margin remains in the low-to-mid 40 percent range because of power, depreciation, data-center expense, customer pricing, and early-ramp inefficiency. NVIDIA LPX narrows the technology gap, but OpenAI and AWS commitments sustain growth. Revenue remains concentrated, capital intensity remains high, and dilution absorbs part of the enterprise-value creation. In this outcome, operating performance is strong while equity returns remain highly dependent on the entry multiple. BEAR CASE The bear case is that customer willingness to pay for 750-4,000 tokens/s proves narrower than expected, visible output speed exceeds practical user value, and aggregate throughput fails to scale with per-user interactivity. The 44 GB capacity limit forces expensive multi-wafer deployments for long contexts, while higher power worsens economics for capacity-bound workloads. Network and software complexity could delay heterogeneous deployments. WSE-3 Turbo yields, reliability, or clock stability could disappoint. NVIDIA’s Rubin-plus-LPX platform could capture the same premium inference segment with a more integrated stack. OpenAI or AWS deployment timing could slip, customer concentration could produce revenue volatility, reserved manufacturing capacity could become underutilized, and customer warrants could dilute per-share economics. Given the valuation, modest execution misses could generate disproportionate equity downside even if absolute revenue continues to grow. The bear case does not require technological failure. A combination of slower deployment, lower premium pricing, weaker utilization, only modest gross-margin expansion, and faster competitive convergence would be sufficient to impair the equity case. KEY CATALYSTS AND DILIGENCE PRIORITIES The 1st catalyst is disclosure of complete production benchmark data. The required benchmark should report the exact model, model quality, active and total parameters, precision, weight quantization, KV-cache precision, input and output sequence lengths, batch size, concurrency, speculative decoding, time to 1st token, inter-token latency, total tokens/s, wall power, system count, network topology, and uptime. Results should be presented against identically configured Blackwell, Rubin, Groq 3 LPX, AMD Helios, and Trainium systems. The 2nd catalyst is shipment and installation execution during the current quarter. Relevant metrics are CS-4 racks produced, Turbo-qualified wafer yield, time from factory completion to revenue service, deployment labor, failure rate, spare-backpack requirements, clock derating, and sustained rather than peak power. Evidence that deployment has genuinely fallen from days to hours would support faster revenue conversion and lower field-service expense. The 3rd catalyst is the AMD disaggregated-inference production launch expected in Q4 2026, followed by the AWS Bedrock launch expected in Q1 2027. The central question is whether the modeled 5x throughput benefit survives production networking, KV transfer, orchestration, model variation, and service-level requirements. Revenue sharing, AMD content per deployment, WSE content per deployment, and full-cluster gross margin are also necessary to determine whether disaggregation expands Cerebras economics or principally expands system performance. The 4th catalyst is the progression of OpenAI’s Ultrafast tier from limited preview to broad availability. Required evidence includes pricing relative to standard inference, customer conversion, utilization, output-token volume, context distribution, queueing, cancellation rates, application mix, and whether the service is capacity-constrained or demand-constrained. The strongest confirmation would be sustained premium pricing combined with high utilization and improving cloud gross margin. The 5th catalyst is CS-5 and the memory roadmap. SRAM capacity per wafer, process technology, power envelope, rack compatibility, manufacturing yield, and scale-up bandwidth will determine whether Nexus is a durable platform or a transitional chassis. A future generation that only increases clock speed without materially increasing capacity or communication bandwidth would leave the principal architectural constraint unresolved. The highest-priority economic KPI is end-to-end output tokens per megawatt at a fixed service-level objective, not per-user peak tokens/s. Additional critical KPIs are realized revenue per megawatt, gross profit per megawatt, capital expenditure per productive megawatt, utilization, rack availability, deployment lead time, electricity consumption per billable token, customer concentration, proportion of RPO representing pass-through cost, warrant amortization, and fully diluted share growth. Additional technical diligence should focus on sustained clock rates, wafer binning, failure rates, spare capacity, model-porting time, compiler maturity, direct-link topology, cross-wafer latency, pipeline utilization, KV-cache placement, long-context performance, and degradation under mixed workloads. Benchmarks should be evaluated at identical quality and availability targets rather than at isolated peak speed. Additional financial diligence should focus on revenue recognition by contract type, pass-through economics, data-center lease commitments, depreciation schedules, customer financing, working-capital requirements, warranty expense, warrant vesting, stock-based compensation, and the conversion of RPO into gross profit and free cash flow. Revenue growth alone will be an insufficient indicator of shareholder value creation. BOTTOM LINE CS-4 is an impressive systems-engineering accomplishment and a meaningful commercial de-risking event. Cerebras has extracted approximately 2x per-wafer speed from mature 5nm silicon, increased rack performance approximately 3x, doubled I/O, reduced network latency, simplified manufacturing, improved serviceability, and built a credible path toward heterogeneous hyperscale inference. The architecture should remain highly differentiated for ultra-low-latency, low-batch decode. The product does not demonstrate a broad 10x improvement in underlying hardware efficiency, does not increase the 44 GB per-wafer memory capacity, does not eliminate the need for large multi-wafer deployments, and does not prove similar full-system TCO. The approximately 2,000x Rubin bandwidth comparison is technically narrow and obscures Rubin’s approximately 157x rack-level memory-capacity advantage. Disaggregation is a rational solution, but it simultaneously expands Cerebras’s addressable market and confirms that WSE alone is not the optimal engine for the complete inference workload. The product-level conclusion is positive. The competitive conclusion is positive near term but increasingly contested by NVIDIA Groq 3 LPX. The 2027 revenue-execution conclusion is positive because the modular platform directly addresses manufacturing and deployment risk. The gross-margin conclusion remains uncertain because higher power, complementary prefill infrastructure, customer pricing, data-center capital, and utilization determine the true cost per token. The equity conclusion remains cautious because approximately $52.3 billion of basic equity value, substantial potential dilution, extreme customer concentration, and approximately 59.1x 2026 core revenue leave limited tolerance for execution, pricing, or competitive disappointment

• 
  Worldwide News Network (@WorldwideNNX) reported 56 minutes ago

  AMAZON TO EXPAND DRONE DELIVERIES TO ABOUT 500 U.S. LOCALES Amazon AMZN.O said on Wednesday it will expand its drone delivery service to reach hundreds of U.S. cities and towns by year end, up from 11 locations where it currently operates serving multiple surrounding communities. The expansion comes more than a decade after founder Jeff Bezos showed off what he called octocopters, or unmanned drones, in 2013 and predicted that the service would be available within four to five years. Amazon currently delivers by drone from 11 locations, including Papillion, Nebraska, and Ruskin, Florida. It is planning to expand to Syracuse, New York, and near Cleveland, among other areas. A single delivery hub can reach multiple towns within a roughly 7.5-mile radius. Amazon said its broad rollout will extend its reach to about 500 locales. Amazon has redesigned its Prime Air drone several times since 2013. Earlier models landed to drop off packages; the current version, known as the MK30, hovers a few feet above ground and releases them. It costs customers $4.99 for a drone delivery, but $2 less for Prime members. The fee is waived on orders of at least $50. Amazon announced the expansion after Reuters contacted the company on Tuesday about the service. The company will have to seek regulatory approval in each of the communities it plans to enter, often requiring local council hearings and feedback from residents. It has Federal Aviation Administration approval to fly them in most areas of the U.S., Amazon has said. For example, at a planning and zoning meeting in Nampa,Idaho, in May, Amazon executive Sam Bailey was questioned about noise, safety and drone logistics for about an hour and listened to residents who opposed the service for a variety of reasons, including bird safety. Ultimately, the board voted unanimously to approve the service's rollout. Bailey said the drones would be audible for about 20 seconds while descending and then flying away at a noise level lower than that of a lawnmower. "It's a brief experience," he said. "Albeit it's a new innovation so it's going to seem different but not any different than a delivery truck coming down your street." He said drone delivery is useful for older adults, parents whose kids "popped a fever" and people who forgot ingredients for their home-cooked meals.

• 
  Dwayne420 (@Dwayne420) reported 57 minutes ago

  @XRPspider User error: Pay attention to what YOU are buying on Amazon. Yes...I can get my Glade air freshener for $5.99 or I can click another link on Amazon and get the same air freshener for $79. They're scam sellers hoping some idiot isn't paying attention to what they're clicking 🙃

• 
  Mr_mitchellLee (@Mr_MitchellLee) reported 58 minutes ago

  @XRPspider Everyone needs to STOP returning **** and prices will come down, several UPS Stores I’ve inquired into say 90+% of their business is returns, primarily amazon returns. I also don’t understand your issue, the exact product got delivered to you for a price that you were willing to pay, I don’t see the issue

• 
  Audit The Herd (@AuditTheHerd) reported 58 minutes ago

  $TEM is an actual unicorn and it is the one position where my normal valuation process completely falls apart. With any of my other positions I do a typical DCF just to get a baseline for where fair value is. It is routine. It keeps me disciplined. I have tried to do that with Tempus. You could put in twenty five to thirty percent growth with twenty to twenty five percent free cash flow margins in year ten and you will get a number that looks sensible. But that number does not accurately represent what Tempus is actually doing. I have been one of the few people to continuously talk about it while virtually every retail holder has gotten shaken out. I understand why. The price action has been brutal and when a stock moves like that people assume the business must be broken. The price will fluctuate, that is what high growth stories do, but the business itself has only improved. There is more data flowing in, more health systems connected, more pharma partners building on top of it. The thesis is stronger today than it was months ago. Most investors will miss it because they are trying to value it with the old framework especially given the lack of current profitability that will inevitably flip. It is a unique company, similar to how Amazon started selling books initially. If you valued Amazon on book sales you missed the entire story. The books were just the entry point to build the infrastructure that would run everything after. I had to learn to value it differently, similar to how you could not value Tesla initially on just earnings per car. If you looked at Tesla through the lens of a traditional automaker you could never make the math work. You had to value it as a learning system that got better and more valuable with every car it put on the road. Tempus is the same. The test is not the business. The test is how it acquires the data. The business is the intelligence layer that is being built on top of that data that becomes more indispensable every single day. You cannot capture that with a simple growth rate.

• 
  Michael H DiGenova (@digenova_h) reported 1 hour ago

  @oempea @nextphlmayor Crime is down. Crime has nothing to do with the death of retail on East Market. The reason is in your pocket. Internet and Amazon.