[{"data":1,"prerenderedAt":288},["ShallowReactive",2],{"story-211483-en":3},{"id":4,"slug":5,"slugs":5,"currentSlug":5,"title":6,"subtitle":7,"coverImagesSmall":8,"coverImages":9,"content":52,"questions":53,"relatedArticles":78,"body_color":286,"card_color":287},"211483",null,"OpenAI Jalapeño Chip Cuts AI Inference Costs 40-60% | E-Commerce Seller Impact 2026-2027","- Custom ASIC delivers 1.5-1.9x efficiency gains and 1.7-3.6x lower latency; deployment begins late 2026 with scale-up in 2027; mid-market sellers gain affordable AI tools for chatbots, recommendations, personalization",[],[10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51],"https://i0.wp.com/fourweekmba.com/wp-content/uploads/2026/08/openai-jalapeno-broadcom-inference-chip-benchmarks-nvidia.png?fit=1024%2C538&ssl=1","https://s.yimg.com/lo/mysterio/api/8c7858b61a3c0b1ccdeda5d84628c055663e6c1adc51f2982dd00c1590f37b29/lightyear_networkapi/resizefill_w976%3Bquality_80%3Bformat_webp/https%3A%2F%2Fmedia.zenfs.com%2Fen%2Ftechcrunch_finance_785%2Fc1813a6dcc0525ce69a548f78511d927.jpg","https://interestingengineering.com/_next/image?url=https%3A%2F%2Fcms.interestingengineering.com%2Fwp-content%2Fuploads%2F2026%2F08%2Fjalapeno.jpg&w=3840&q=75","https://assets.bwbx.io/images/users/iqjWHBFdfxIU/iAUb3G4vq.6w/v1/-1x-1.webp","https://static.seekingalpha.com/cdn/s3/uploads/getty_images/2288181944/image_2288181944.jpg?io=getty-c-w630","https://i.ytimg.com/vi/TQdin4h5DHc/maxresdefault.jpg","https://cdn.startuphub.ai/storage/v1/object/public/post-images/youtube/1787681064168.webp","https://blog.tipranks.com/wp-content/uploads/2026/08/shutterstock_2612393259-750x406.jpg","https://images.ctfassets.net/kftzwdyauwt9/4GNoZzKGA2BcJzgrWwNF7Y/6e1be14f38acf95416d1c165f7ed7730/index-full-stack-behind-abundant-intelligence--seo-v001.png?w=1600&h=900&fit=fill","https://platform.theverge.com/wp-content/uploads/sites/2/2026/08/Jalapeno-chip-final.jpeg?quality=90&strip=all&crop=0%2C5.5555555555556%2C100%2C88.888888888889&w=2400","https://news.stocktwits-cdn.com/large_Getty_Images_2197091362_jpg_1ce8fc175a.webp","https://cdn.mos.cms.futurecdn.net/3Bym5bRSoc2XYC2CRstQM3-1200-80.jpg","https://www.digitaltrends.com/tachyon/2026/08/openai-jalapeno-ai-chip.jpg?resize=1200%2C720","https://imagedelivery.net/FCiXvK7dG4mSm_W_033WNA/ot-news-18a783f0ad3dbbc4204463e2/contentbanner","https://bitcoinworld.co.in/wp-content/uploads/openai-jalapeno-chip-benchmarks-1296x700.jpg","https://s.yimg.com/lo/mysterio/api/1fb214d6b1d091b499cec1af5508b515ecfe63b2b4242e495924288e6d81169b/lightyear_networkapi/resizefill_w976%3Bquality_80%3Bformat_webp/https%3A%2F%2Fmedia.zenfs.com%2Fen%2Faxios_527%2Fff1fd48124b57d88dbf6bec3c30886ec.jpg","https://static.cryptobriefing.com/wp-content/uploads/2026/08/25131456/a-man-walks-through-a-spacious-modern-hallway-with-wood-and--13-800x420.jpeg","https://image.theregister.com/5292307.webp?width=1200","https://s.tradingview.com/static/images/illustrations/news-story.jpg","https://d.ibtimes.com/en/full/4650538/openai-broadcom-jalapeno.jpg?w=736&f=adb2b13b15e2aa76626b25484a662dcd","https://yellow.com/_next/image?url=https%3A%2F%2Fmedia.yellow.com%2Fuploads%2Fshutterstock_2673142749_d677920d7f.jpg&w=1920&q=75","https://cdn.neowin.com/news/images/uploaded/2026/08/1787671632_openai_jalape%C3%B1o_ai_chip_story.webp","https://substackcdn.com/image/fetch/$s_!QKjS!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fc028f756-4748-4583-91b2-5c4a63893cb5_2048x1153.png","https://usnewsfile.moomoo.com/public/MM-PersistNewsContentImage/7781/20260826/75241460-0-2db486cbc489ea5ddbe3934e62259e19.png/big","https://media.thenextweb.com/2026/06/chatgpt-lockdown-mode-prompt-injection.jpg","https://s.yimg.com/lo/mysterio/api/709e96670e9e244660a96c6d2825ba6fc67a4f6368fa936127a0a4897832c0e6/lightyear_networkapi/resizefill_w976%3Bquality_80%3Bformat_webp/https%3A%2F%2Fmedia.zenfs.com%2Fen%2Ftoms_hardware_319%2F37e661caa4557f025c3f645846d276f6.jpg","https://img.biggo.com/VU7OVXXCC5FJMumcDP-qxeohan7Vmay34vXiskU4uaY/fit/1720/0/sm/0/aHR0cHM6Ly9pbWcuYmdvLm9uZS9uZXdzLWltYWdlL2FpX2dlbmVyYXRlZC8yMDI2LTA4Lzk0N2RmMTI3LTM5YjItNGJlNS04MThjLWJkY2FkNDRiNzE0Nl8xNzg3NjgyMTY5X2RlZmF1bHQuanBn.webp","https://static.seekingalpha.com/cdn/s3/uploads/getty_images/2282033290/image_2282033290.jpg?io=getty-c-w1280","https://dev.ua/storage/images/27/09/07/89/derived/35c896ed05d05759f9b1debe7eb7a09a.jpg","https://blog.tipranks.com/wp-content/uploads/2026/08/shutterstock_2682337459-750x406.jpg","https://media.datacenterdynamics.com/media/images/OpenAI_Jalapeno.width-358.png","https://image.blockchain.news/features/D11B7CFCA58E34BD7D45FE96B9319DC677103B086D2B5DC6241654AB7083E58E.jpg","https://briefs.gumlet.io/wp-content/uploads/2025/10/deep_briefs.webp?quality=90&compress=true&w=360&dpr=2.6","https://techcrunch.com/wp-content/uploads/2026/08/Jalapeno-chip-final.jpeg?w=1024","https://the-decoder.com/wp-content/uploads/2026/08/openai_chip.png","https://web-cdnprod.aa.com.tr/uploads/Contents/2026/08/25/thumbs_b_c_9fabcfe7a114b1e07f776396bd3a8288.jpg","https://assets.bwbx.io/images/users/iqjWHBFdfxIU/iPNtWxBHWTA4/v3/400x225.jpg","https://s.yimg.com/lo/mysterio/api/2d141d5ef144858b80b453521960b1828ffaa478f67c47347e1e521e699deba5/lightyear_networkapi/resizefit_w960%3Bquality_80%3Bformat_webp/https%3A%2F%2Fmedia.zenfs.com%2Fen%2Fbloomberg_holding_pen_162%2F2d5e0dc2d7005fad5d62294fa9e30109.jpg","https://mezha.net/eng/kd_image_generate/fdc3436d_openai_develops_ja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Jalapeño chip represents a watershed moment for e-commerce AI infrastructure costs.** Announced at Hot Chips conference, the custom ASIC (Application-Specific Integrated Circuit) developed with Broadcom achieves 1.5-1.9x more AI work per watt and 1.7-3.6x lower end-to-end latency compared to Nvidia's GB200/GB300 superchips. For interactive workloads critical to e-commerce—real-time chatbots, product recommendations, dynamic pricing—Jalapeño delivers 2.1-4.1x higher performance. The chip operates at 700W rated capacity with sustained consumption at 550W, utilizing HBM4 memory architecture. OpenAI plans limited deployment by year-end 2026, scaling significantly throughout 2027.\n\n**The immediate impact for cross-border sellers is dramatic cost reduction in AI inference.** Current GPU-based recommendation engines and chatbots cost $200-500/month for mid-market sellers (processing 10K-50K daily requests). Jalapeño's efficiency gains could reduce these costs to $80-200/month by 2027, making AI-powered customer service accessible to sellers currently priced out. The chip's balanced throughput-latency architecture addresses the traditional hardware tradeoff where systems excel at one metric while compromising the other—critical for agentic workloads requiring sequential task completion (multi-turn customer conversations, complex product discovery flows). OpenAI used AI models to accelerate development, reducing design-to-tapeout timeline to 9 months and achieving 1.5-1.8x faster implementations than human-written code for selected components.\n\n**Strategic implications reshape AI tool adoption across seller segments.** Large sellers (Amazon FBA, Shopify Plus) already deploy custom AI infrastructure; Jalapeño's cost advantage primarily benefits mid-market sellers ($1M-50M GMV) currently using third-party APIs (OpenAI, Anthropic) at $0.01-0.10 per inference. A seller processing 1M daily inferences at $0.05/inference pays $50K/month; Jalapeño-powered infrastructure could reduce this to $15-20K/month. This 60-70% cost reduction accelerates adoption of AI-driven personalization, dynamic pricing, and multilingual customer service—competitive necessities in cross-border markets (US, EU, SEA, LATAM). OpenAI maintains partnerships with Nvidia rather than full replacement, indicating hybrid infrastructure strategies will dominate through 2027-2028.\n\n**Competitive dynamics intensify as Microsoft, Meta, Google, and Amazon develop parallel custom silicon.** This fragmentation creates opportunities for sellers: those adopting OpenAI's ChatGPT API gain access to Jalapeño's efficiency gains automatically (through OpenAI's infrastructure), while sellers using Anthropic Claude or open-source models (DeepSeek, Kimi) face higher costs until alternative chips mature. The news explicitly confirms Jalapeño runs non-OpenAI models (DeepSeek R1 670B, Kimi K2.5 1T) efficiently, positioning it as generalized inference hardware rather than proprietary lock-in. For sellers, this means 12-18 months to evaluate AI vendor strategies before cost advantages materialize.",[54,57,60,63,66,69,72,75],{"title":55,"answer":56,"author":5,"avatar":5,"time":5},"How much will AI inference costs drop for e-commerce sellers when Jalapeño scales in 2027?","OpenAI's Jalapeño chip delivers 1.5-1.9x more AI work per watt, translating to 40-60% cost reductions for inference-heavy workloads. A mid-market seller currently paying $50K/month for 1M daily inferences via third-party APIs could reduce costs to $15-20K/month once Jalapeño infrastructure scales in 2027. The chip's 1.7-3.6x lower latency also improves customer experience for real-time chatbots and product recommendations. Limited deployment begins late 2026, with significant volume increases throughout 2027, making cost benefits available within 12-18 months for sellers using OpenAI's infrastructure.",{"title":58,"answer":59,"author":5,"avatar":5,"time":5},"Which e-commerce AI tools will benefit most from Jalapeño's efficiency improvements?","Jalapeño's architecture balances throughput and latency within a single chip, making it ideal for interactive workloads: real-time chatbots (2.1-4.1x higher performance), dynamic pricing engines, product recommendation systems, and multilingual customer service. The chip efficiently handles both prefill (prompt processing) and decode (token generation) phases critical for agentic workloads requiring sequential task completion—like multi-turn customer conversations or complex product discovery flows. Sellers using OpenAI's ChatGPT API for these functions will automatically benefit as OpenAI deploys Jalapeño in its infrastructure. The chip operates at 700W rated capacity with sustained consumption at 550W, making it power-efficient for data center deployment.",{"title":61,"answer":62,"author":5,"avatar":5,"time":5},"Does Jalapeño only work with OpenAI models or can sellers use other AI models?","Jalapeño functions as a generalized inference processor capable of running diverse models and workloads, not just OpenAI models. Testing confirms it efficiently runs non-OpenAI models including DeepSeek R1 670B and Kimi K2.5 1T, achieving over 700 tokens per second per user at low concurrency. This means sellers using open-source models or competing AI providers (Anthropic Claude, DeepSeek) can eventually benefit from Jalapeño-powered infrastructure if their providers adopt the chip. However, OpenAI's infrastructure advantage means sellers using ChatGPT API will see cost benefits first (2026-2027 timeline), while sellers using alternative models may face higher costs until competing custom silicon matures.",{"title":64,"answer":65,"author":5,"avatar":5,"time":5},"How does Jalapeño's performance compare to Nvidia's current GPU offerings?","According to SemiAnalysis testing at OpenAI's facilities, Jalapeño demonstrates superior performance compared to Nvidia's Blackwell across multiple benchmarks, achieving higher tokens per user and greater throughput per kilowatt. The chip delivers 1.5-1.9x more AI work per watt at peak throughput and 1.7-3.6x lower end-to-end latency compared to existing systems. Jalapeño utilizes HBM4 memory, placing it in the flagship GPU category alongside Nvidia and AMD offerings. However, Nvidia's established ecosystem and software optimization remain significant competitive advantages. OpenAI clarified it will not replace its entire chip infrastructure with Jalapeño, maintaining partnerships with Nvidia as part of its broader compute strategy, indicating hybrid infrastructure will dominate through 2027-2028.",{"title":67,"answer":68,"author":5,"avatar":5,"time":5},"When will sellers actually see cost reductions from Jalapeño in their AI tools?","OpenAI plans limited deployment of Jalapeño by year-end 2026, with significant volume increases beginning in 2027. The timeline suggests meaningful cost reductions becoming available within 12-18 months for sellers using OpenAI's infrastructure. Sellers currently constrained by computational expenses for chatbots, recommendations, and personalization systems can expect cost benefits to materialize throughout 2027 as Jalapeño scales. This creates a strategic window: sellers should evaluate their AI vendor relationships now (2025) to position for cost advantages when Jalapeño infrastructure becomes widely available. Mid-market sellers ($1M-50M GMV) will benefit most, as they currently face the highest per-inference costs relative to revenue.",{"title":70,"answer":71,"author":5,"avatar":5,"time":5},"How does Jalapeño's development timeline compare to typical chip design cycles?","Jalapeño completed its design and manufacturing tape-out in just 16 months—an exceptionally fast ASIC development cycle that began in mid-2024. OpenAI reduced the design-to-tapeout timeline to 9 months by using AI models to accelerate development, enabling AI-generated implementations to run 1.5-1.8x faster than human-written code for selected components. This rapid development reflects OpenAI's full-stack advantage integrating chip design, memory architecture, networking, and serving software optimized for modern language model inference patterns. The speed indicates OpenAI is already developing second and third-generation versions of the chip, suggesting continuous performance improvements and cost reductions beyond 2027. For sellers, this means Jalapeño represents the first generation of a multi-generational platform with ongoing efficiency gains.",{"title":73,"answer":74,"author":5,"avatar":5,"time":5},"What is the competitive threat to Nvidia from OpenAI's Jalapeño and similar custom chips?","OpenAI's Jalapeño positions OpenAI as a significant competitor in the intensifying AI chip race alongside Microsoft, Meta, Google, and Nvidia, each developing custom silicon to optimize their respective AI systems and reduce dependency on external chip manufacturers. This fragmentation creates competitive pressure on Nvidia's dominant GPU market position, potentially affecting pricing and availability of specialized processors. However, Nvidia's established ecosystem and software optimization remain significant competitive advantages. The broader trend indicates major AI companies are pursuing vertical integration, controlling both software and hardware layers. For sellers, this competition benefits them through lower costs and more options, but creates complexity in choosing AI vendors and infrastructure strategies through 2027-2028.",{"title":76,"answer":77,"author":5,"avatar":5,"time":5},"How should mid-market sellers prepare for Jalapeño's impact on AI infrastructure costs?","Mid-market sellers ($1M-50M GMV) should audit their current AI infrastructure costs and vendor relationships immediately. Sellers using OpenAI's ChatGPT API will automatically benefit from Jalapeño's efficiency gains when OpenAI deploys the chip in 2026-2027, potentially reducing inference costs 40-60%. Sellers using alternative providers (Anthropic, open-source models) should monitor when competing custom silicon becomes available. Consider consolidating AI workloads (chatbots, recommendations, pricing) under a single vendor to maximize cost benefits when infrastructure upgrades occur. Evaluate whether current third-party API costs ($0.01-0.10 per inference) justify building internal AI infrastructure once Jalapeño-powered services become available. The 12-18 month timeline provides a strategic window to optimize AI spending before cost advantages materialize.",[79,84,88,92,96,100,104,108,112,116,120,124,128,132,136,140,144,148,152,156,160,164,168,173,177,181,185,189,193,197,201,205,209,213,217,221,224,227,231,234,237,241,244,247,251,255,259,263,267,271,275,279,282],{"id":80,"title":81,"source":82,"logo":5,"time":83},1443140,"OpenAI’s Jalapeño chip tackles a problem AI agents make worse","https://thenewstack.io/openai-jalapeno-inference-chip","3D AGO",{"id":85,"title":86,"source":87,"logo":33,"time":83},1443143,"OpenAI Achieves Key Breakthrough in Proprietary Chip: Response Speed and Energy Efficiency Outperform NVIDIA GB300","https://www.moomoo.com/news/post/75241460/openai-achieves-key-breakthrough-in-proprietary-chip-response-speed-and",{"id":89,"title":90,"source":91,"logo":5,"time":83},1443144,"OpenAI's new Jalapeño AI chip beats Nvidia's GB...","https://pluang.com/en/news-feed/chip-ai-baru-openai-lebih-efisien-dari-nvidia",{"id":93,"title":94,"source":95,"logo":36,"time":83},1443141,"OpenAI Claims Its First Custom Chip Beats Nvidia's Blackwell in Inference Efficiency","https://finance.biggo.com/news/947df127-39b2-4be5-818c-bdcad44b7146",{"id":97,"title":98,"source":99,"logo":10,"time":83},1443142,"OpenAI and Broadcom's Jalapeño Chip Posts Strong Inference Numbers — Believe the Direction, Scrutinize the Scoreboard","https://fourweekmba.com/ai-openai-jalapeno-broadcom-inference-chip-benchmarks-nvidia",{"id":101,"title":102,"source":103,"logo":38,"time":83},1443147,"OpenAI reveals details of Jalapeño chip and claims superiority over NVIDIA Blackwell","https://dev.ua/en/news/openai-vykryla-rosiisku-merezhu-botiv-1787670250",{"id":105,"title":106,"source":107,"logo":5,"time":83},1443148,"OpenAI's New Jalapeno Chip Outperforms Nvidia Products","https://www.gurufocus.com/news/9051981/openais-new-jalapeno-chip-outperforms-nvidia-products",{"id":109,"title":110,"source":111,"logo":40,"time":83},1443145,"OpenAI details Jalapeño AI chip, with 700W TDP","https://www.datacenterdynamics.com/en/news/openai-details-jalape%C3%B1o-ai-chip-with-700w-tdp",{"id":113,"title":114,"source":115,"logo":20,"time":83},1443146,"OpenAI's Jalapeno Chip Is Outperforming Nvidia, AMD And Google Chips, SemiAnalysis Says","https://stocktwits.com/news-articles/markets/equity/open-ai-s-jalapeno-chip-is-outperforming-nvidia-amd-and-google/cZYkvEQRJoJ",{"id":117,"title":118,"source":119,"logo":23,"time":83},1443149,"OpenAI's Jalapeño chip changes the inference-cost conversation","https://opentools.ai/news/openai-jalapeno-inference-chip-benchmarks",{"id":121,"title":122,"source":123,"logo":49,"time":83},1443150,"OpenAI’s First-Gen Jalapeno ASIC Blows Competition Out Of The Park, Performs 1.5x to 1.9x More Work Per Kilowatt Than NVIDIA’s Blackwell Chips, While Threatening The CUDA Moat","https://wccftech.com/openais-first-gen-jalapeno-asic-blows-competition-out-of-the-park-performs-1-5x-to-1-9x-more-work-per-kilowatt-than-nvidias-blackwell-chips-while-threatening-the-cuda-moat",{"id":125,"title":126,"source":127,"logo":26,"time":83},1443151,"OpenAI's custom Jalapeño chip matches Nvidia Blackwell with 50% cost advantage, Broadcom CEO claims","https://cryptobriefing.com/openai-jalapeno-chip-outperforms-nvidia",{"id":129,"title":130,"source":131,"logo":42,"time":83},1443154,"OpenAI's Jalapeño Chip Beats Nvidia Blackwell on Key AI Benchmarks","https://www.briefs.co/news/openai-s-jalape-o-chip-beats-nvidia-blackwell-on-key-ai-benc",{"id":133,"title":134,"source":135,"logo":29,"time":83},1443155,"OpenAI Claims an AI Chip Breakthrough. Broadcom Collaboration Jalapeño Beats Nvidia's GB300 in Tests.","https://www.ibtimes.com/openai-claims-ai-chip-breakthrough-broadcom-collaboration-jalapeno-beats-nvidias-gb300-tests-3806779",{"id":137,"title":138,"source":139,"logo":18,"time":83},1443152,"The full stack behind abundant intelligence","https://openai.com/index/the-full-stack-behind-abundant-intelligence",{"id":141,"title":142,"source":143,"logo":41,"time":83},1443153,"OpenAI Unveils Jalapeño Chip with Industry-Leading AI Efficiency","https://blockchain.news/news/openai-unveils-jalapeno-chip-ai-efficiency",{"id":145,"title":146,"source":147,"logo":45,"time":83},1443158,"OpenAI says its 1st custom AI chip surpasses Nvidia systems in key tests","https://www.aa.com.tr/en/world/openai-says-its-1st-custom-ai-chip-surpasses-nvidia-systems-in-key-tests/4037388",{"id":149,"title":150,"source":151,"logo":31,"time":83},1443159,"OpenAI's upcoming Jalapeño AI chip outperforms NVIDIA GB300 in inference tests","https://www.neowin.net/news/openais-upcoming-jalapeo-ai-chip-outperforms-nvidia-gb300-in-inference-tests",{"id":153,"title":154,"source":155,"logo":5,"time":83},1443156,"Jalapeño Improves Performance Per Watt","https://www.techerati.com/news-hub/openai-says-jalapeno-delivers-up-to-1-9x-more-ai-work-per-watt",{"id":157,"title":158,"source":159,"logo":44,"time":83},1443157,"OpenAI's first custom chip \"Jalapeño\" reportedly beats Nvidia's Blackwell and Rubin in inference benchmarks","https://the-decoder.com/openais-first-custom-chip-jalapeno-reportedly-beats-nvidias-blackwell-and-rubin-in-inference-benchmarks",{"id":161,"title":162,"source":163,"logo":37,"time":83},1443161,"Wall Street Lunch: OpenAI's JalapeñO Tops Nvidia's Blackwell In Some Inference Tests","https://seekingalpha.com/article/4940069-wall-street-lunch-openais-jalapeo-tops-nvidias-blackwell-in-some-inference-tests",{"id":165,"title":166,"source":167,"logo":39,"time":83},1443162,"OpenAI Claims New Jalapeño Chip Outguns Nvidia’s (NVDA) in Power and Speed","https://www.tipranks.com/news/openai-claims-new-jalapeno-chip-outguns-nvidias-nvda-in-power-and-speed",{"id":169,"title":170,"source":171,"logo":46,"time":172},1443160,"Watch OpenAI Says New Jalapeno Chips Outperformed Nvidia in Testing","https://www.bloomberg.com/news/videos/2026-08-25/openai-says-jalapeno-chips-outperformed-nvidia-in-tests-video","4D AGO",{"id":174,"title":175,"source":176,"logo":51,"time":83},1443121,"Jalapeño’s first results show industry-leading speed and efficiency in AI inference","https://openai.com/index/jalapeno-first-results",{"id":178,"title":179,"source":180,"logo":30,"time":83},1443165,"OpenAI Says Jalapeño Beats Nvidia GB300 On 2 Key AI Metrics","https://yellow.com/news/openai-jalapeno-nvidia-gb300-benchmarks",{"id":182,"title":183,"source":184,"logo":32,"time":83},1443122,"OpenAI Jalapeño: Better Than Nvidia Blackwell","https://newsletter.semianalysis.com/p/openai-jalapeno-better-than-nvidia",{"id":186,"title":187,"source":188,"logo":11,"time":83},1443166,"OpenAI’s Jalapeño chip is built for fast inference at scale, benchmarks show","https://tech.yahoo.com/ai/articles/openai-jalape-o-chip-built-142204620.html",{"id":190,"title":191,"source":192,"logo":24,"time":83},1443163,"OpenAI’s Jalapeño chip shows major inference speed and efficiency gains in first benchmarks","https://bitcoinworld.co.in/openai-jalapeno-chip-benchmarks",{"id":194,"title":195,"source":196,"logo":19,"time":83},1443120,"OpenAI says its Jalapeño chip can power faster AI responses than the competition","https://www.theverge.com/ai-artificial-intelligence/984290/openai-jalapeno-ai-chip-benchmarks",{"id":198,"title":199,"source":200,"logo":22,"time":83},1443164,"OpenAI says its Jalapeno AI chip delivers faster responses than rivals like Nvidia","https://www.digitaltrends.com/computing/openai-says-its-jalapeno-ai-chip-delivers-faster-responses-than-rivals-like-nvidia",{"id":202,"title":203,"source":204,"logo":50,"time":83},1443125,"OpenAI says its Jalapeño chip bests Nvidia, others","https://www.axios.com/2026/08/25/openai-says-its-jalapeno-chip-offers-spicy-performance",{"id":206,"title":207,"source":208,"logo":5,"time":83},1443169,"OpenAI releases first performance data for Jalapeño AI chip By Investing.com","https://ng.investing.com/news/stock-market-news/openai-releases-first-performance-data-for-jalapeno-ai-chip-2673977",{"id":210,"title":211,"source":212,"logo":27,"time":83},1443126,"OpenAI's upcoming Jalapeño chip looks like it'll be an inference beast","https://www.theregister.com/systems/2026/08/25/openais-upcoming-jalapeno-chip-looks-like-itll-be-an-inference-beast/5292052",{"id":214,"title":215,"source":216,"logo":13,"time":83},1443123,"OpenAI Claims Its New Chips Can Outperform Nvidia Processors in Tests","https://www.bloomberg.com/news/articles/2026-08-25/openai-claims-its-new-chips-can-outperform-nvidia-processors-in-tests",{"id":218,"title":219,"source":220,"logo":35,"time":83},1443167,"OpenAI’s 700W Jalapeño ASIC outpaces 1,400W Nvidia flagship GPU — claims up to 1.9x throughput per kilowatt and 3.6x lower latency, co-developed with Broadcom","https://tech.yahoo.com/ai/articles/openai-700w-jalape-o-asic-180523335.html",{"id":222,"title":187,"source":223,"logo":43,"time":83},1443124,"https://techcrunch.com/2026/08/25/openais-jalapeno-chip-is-built-for-fast-inference-at-scale-benchmarks-show",{"id":225,"title":203,"source":226,"logo":25,"time":83},1443168,"https://tech.yahoo.com/ai/articles/openai-says-jalape-o-chip-140006106.html",{"id":228,"title":229,"source":230,"logo":14,"time":83},1443129,"OpenAI's Jalapeño spices up chip market as it outperforms Nvidia's Blackwell","https://seekingalpha.com/news/4636641-openais-jalapeno-spices-up-chip-market-as-it-outperforms-nvidias-blackwell",{"id":232,"title":215,"source":233,"logo":47,"time":83},1443127,"https://finance.yahoo.com/technology/ai/articles/openai-claims-chips-outperform-nvidia-140001612.html",{"id":235,"title":219,"source":236,"logo":21,"time":83},1443128,"https://www.tomshardware.com/tech-industry/semiconductors/openai-says-its-jalapeno-chip-beats-nvidias-gb300-in-first-published-benchmarks",{"id":238,"title":239,"source":240,"logo":5,"time":83},1443172,"OpenAI’s Jalapeno chip beats Nvidia in efficiency tests: Here's how","https://www.thenews.com.pk/latest/1413617-openais-jalapeno-chip-beats-nvidia-in-efficiency-tests-heres-how",{"id":242,"title":207,"source":243,"logo":5,"time":83},1443170,"https://ca.investing.com/news/stock-market-news/openai-releases-first-performance-data-for-jalapeno-ai-chip-4816023",{"id":245,"title":207,"source":246,"logo":5,"time":83},1443171,"https://uk.investing.com/news/stock-market-news/openai-releases-first-performance-data-for-jalapeno-ai-chip-4846482",{"id":248,"title":249,"source":250,"logo":5,"time":83},1443132,"OpenAI's Jalapeno chip can conclude tasks more efficiently and returns responses faster than other AI systems","https://www.newsquawk.com/headlines/openais-jalapneo-chip-can-conclude-tasks-more-efficiently-and-returns-responses-faster-than-other-ai-systems",{"id":252,"title":253,"source":254,"logo":12,"time":83},1443133,"‘Superfast’: OpenAI’s first chip outpaces Nvidia systems with 1.9x more efficiency","https://interestingengineering.com/innovation/openai-jalapeno-chip-1-9x-performance-per-watt",{"id":256,"title":257,"source":258,"logo":28,"time":83},1443130,"OpenAI To Begin Deploying Jalapeno Chip In Compute Infrastructure By End Of 2026","https://www.tradingview.com/news/reuters.com,2026:newsml_FWN44M108:0-openai-to-begin-deploying-jalapeno-chip-in-compute-infrastructure-by-end-of-2026",{"id":260,"title":261,"source":262,"logo":34,"time":83},1443131,"OpenAI’s Jalapeno chip outperformed the GB300 on power and speed, according to OpenAI","https://thenextweb.com/news/openai-jalapeno-benchmark-nvidia-gb300-europe-gigafactories",{"id":264,"title":265,"source":266,"logo":5,"time":83},1443136,"OpenAI Delivers Samples of First Custom Chip Jalapeno, Outperforming Nvidia's Existing Products in Some Tests","https://www.tradingkey.com/analysis/stocks/us-stocks/262130871-openai-broadcom-jalapeno-custom-chip-inference-cost-50-nvidia-tradingkey",{"id":268,"title":269,"source":270,"logo":17,"time":83},1443137,"Nvidia (NVDA) Faces a New AI Rival Ahead of Q2 Earnings Tomorrow","https://www.tipranks.com/news/nvidia-nvda-faces-a-new-ai-rival-ahead-of-q2-earnings-tomorrow",{"id":272,"title":273,"source":274,"logo":15,"time":83},1443134,"The ’Need for Speed’ in AI Inference. OpenAI, Nvidia & Apple. ARD #148","https://michaelparekh.substack.com/p/the-need-for-speed-in-ai-inference",{"id":276,"title":277,"source":278,"logo":48,"time":83},1443135,"OpenAI Develops Jalapeño Chip for Faster, Scalable AI Inference","https://mezha.net/eng/bukvy/fdc3436d_openai_develops_jalapeno",{"id":280,"title":207,"source":281,"logo":5,"time":83},1443138,"https://za.investing.com/news/stock-market-news/openai-releases-first-performance-data-for-jalapeno-ai-chip-4442844",{"id":283,"title":284,"source":285,"logo":16,"time":83},1443139,"OpenAI's Jalapeno Chip Challenges Nvidia's Dominance","https://www.startuphub.ai/hardware/chips/openai-s-jalapeno-chip-challenges-nvidia-s-dominance","#fd78cfff","#fd78cf4d",1788006147897]