[{"data":1,"prerenderedAt":191},["ShallowReactive",2],{"story-211408-en":3},{"id":4,"slug":5,"slugs":5,"currentSlug":5,"title":6,"subtitle":7,"coverImagesSmall":8,"coverImages":9,"content":37,"questions":38,"relatedArticles":63,"body_color":189,"card_color":190},"211408",null,"Nvidia's $20B Groq Acquisition Unlocks Agentic AI Infrastructure | E-Commerce Automation Opportunity","- Groq 3 LPX delivers 3,400 tokens/second (4x faster than competitors), enabling real-time AI agents for seller automation; cloud providers now charge premium rates for low-latency inference services critical for product research, pricing optimization, and customer service automation",[],[10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,33,36],"https://image.cnbcfm.com/api/v1/image/108279787-1773856963026-gettyimages-2266693711-NVIDIA_GTC.jpeg?v=1779315606&w=1600&h=900","https://web-cdnprod.aa.com.tr/uploads/Contents/2026/08/24/thumbs_b_c_03bf3d1209d0111adf1268a910c5dfb5.jpg","https://www.techbuzz.ai/cdn-cgi/image/width=1200,quality=85,format=auto,fit=cover/https://charming-card-d91ad3487b.media.strapiapp.com/large_file_d61b676320.png","https://www.hpcwire.com/bigdatawire/wp-content/uploads/sites/2/2026/08/nvidia-groq-3-lpx-rack.png","https://ussnsimg.moomoo.com/sns_client_feed/76714826/20260824/public/NN-DataMarket/8515/2091909391238979970-photo-04629c20e4d46a6ab0b59a4feae3754f1.jpg/big?area=100&is_public=true&imageMogr2/ignore-error/1/format/webp/thumbnail/!75p","https://image.theregister.com/5224053.jpg?imageId=5224053&x=0&y=0&cropw=100&croph=100&panox=0&panoy=0&panow=100&panoh=100&width=1200&height=683","https://www.techbuzz.ai/cdn-cgi/image/width=1200,quality=85,format=auto,fit=cover/https://charming-card-d91ad3487b.media.strapiapp.com/large_file_64960c7e24.png","https://247wallst.com/og/card/01m0t840xx60yrq3wj2w1mye6h.png","https://www.techbuzz.ai/cdn-cgi/image/width=1200,quality=85,format=auto,fit=cover/https://charming-card-d91ad3487b.media.strapiapp.com/large_file_5b9de590b1.png","https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhicU-SVmuoLRye-wLLL4FMAS068jUcl2jrCWmgjLEvPonxArKGHmMm_AOAWAre9NHT7p2PjALjTgNWTaeeHgUfVZsmvLrzKzdx-UGqnsFrInRDyoYpQ7tXlFttWXmdEakeqdVN6j-On3KikPFr7luZQxncnljTYQ7UJKrG5Wh7FIyhRCehHIbD5M-dctY/w640-h359/NVIDIA%20Groq%203%20LPX%20Enters%20Production%20for%20Agentic%20AI%20Inference.png","https://static.seekingalpha.com/cdn/s3/uploads/getty_images/2248000478/image_2248000478.jpg?io=getty-c-w630","https://img.biggo.com/rAWjTEG7vFc7cnPkiMlIxKunu9npvUO_XzkitAuExy8/fit/1720/0/sm/0/aHR0cHM6Ly9pbWcuYmdvLm9uZS9uZXdzLWltYWdlL2FpX2dlbmVyYXRlZC8yMDI2LTA4Lzc4ZTJhMjI2LTkwZWQtNGUzZS05MGVjLWFjNjM4MjdkNTI0Ml8xNzg3NTkyNTI4X2RlZmF1bHQud2VicA.webp","https://www.quiverquant.com/images/nvda_rect_new.png","https://pubimg.futunn.com/202205090000017806c005a67f7.jpg","https://images.siliconangle.com/blogs.dir/1/files/2026/08/Screenshot-from-2026-08-24-10-37-46.png","https://newsfile.moomoo.com/news-thumbnail/20240814/public/17236352889116999515356-news-thumbnail/20240814/public/17236352889104887056713.jpeg.jpeg","https://image.blockchain.news/features/D8E08E86F8EDBDDCD68414CF49BDD8B1401B11A69515DFF98E6B2B03EE9CF9D7.jpg","https://cdn.zonebourse.com/static/resize/768/432//images//reuters/2026-06-15T134331Z_1_LYNXMPEM5E12B_RTROPTP_4_NVIDIA-LOBBYIST.JPG","https://cdn.wccftech.com/wp-content/uploads/2026/04/NVIDIA-Groq-3-LPX-LPU-1.jpeg","https://images.firstpost.com/uploads/2026/06/Nvidia-CEO-Jensen-Huang-Reuters-2026-06-8214ee861e3099c3599a34ab980e4bc5.jpg?im=FitAndFill,width=1200,height=675","https://cdn.ttweb.net/News/images/401960.jpg?preset=w800_q70","https://assets.qz.com/media/GettyImages-2018746067-1920x1281.jpg","https://blogs.nvidia.com/wp-content/uploads/2026/08/HotChips_2026_MKT_KV_Rubin_Rack_Family_Front_comp_4k_V004-2-1-1280x720.png","https://image.blockchain.news/features/45B7A801D37E36DC0019AE0310A0ED0160FBF51AC1E55381847ABA1D7FFAC0B0.jpg","https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/gpu-architecture-groq3-lpx-rack.webp","https://www.storagereview.com/wp-content/uploads/2026/08/LPX02-Groq3LPX_Compute_Tray.jpeg","https://cdn.zonebourse.com/static/resize/1200/675//images/reuters/2025-03-13T172638Z_1_LYNXMPEL2C0VY_RTROPTP_3_BUSINESS-FRANCE.JPG","**Nvidia's $20 billion acquisition of Groq (December 2025) marks a fundamental shift in AI inference architecture that directly impacts e-commerce sellers' ability to deploy real-time autonomous agents.** The Groq 3 LPU-based LPX rack systems achieve 3,400 tokens per second on Google's Gemma 4 31B model—4x faster than competing platforms like Cerebras (882 tokens/second) and OpenAI's Ultrafast mode (750 tokens/second)—according to independent benchmarks by Artificial Analysis. This breakthrough addresses the critical bottleneck in agentic AI: decode latency that creates delays when AI agents reason, plan, and execute complex multistep tasks. For e-commerce sellers, this translates to immediate automation opportunities: faster product research agents that scan competitor listings in real-time, dynamic pricing algorithms that adjust to market conditions within milliseconds, and customer service bots that handle multi-turn conversations with 100K-token context windows without user-facing delays.\n\n**The technical architecture directly enables seller automation workflows.** Groq 3 LPU features on-die SRAM (2.75 terabytes per chip, 500MB per individual LPU) that eliminates memory bandwidth bottlenecks plaguing traditional GPU-based inference. Each LPX rack packages 256 LPU chips delivering 128GB collective SRAM capacity, enabling deployment of 2-trillion parameter models with high interactivity. Nebius Group N.V. (Netherlands-based cloud provider) has become the first customer, integrating Groq 3 into its Nebius Token Factory production inference platform specifically for \"extreme token generation speeds for agentic applications.\" This validates immediate market adoption and production readiness. Nvidia CEO Jensen Huang projected $1 trillion in cumulative sales between Blackwell and Vera Rubin systems through 2027, with a quarter of datacenter space allocated to coding applications (where latency sensitivity is highest). SpaceX has committed as a flagship customer, signaling enterprise-scale deployment confidence.\n\n**For e-commerce sellers, the competitive advantage window is immediate but compressed.** Cloud providers leveraging Groq 3 can now charge premium rates for token-serving services—particularly for latency-sensitive applications like real-time product matching, inventory optimization, and competitive intelligence gathering. Sellers who adopt Groq-powered AI agents in 2026-2027 gain 6-12 month competitive moats before competitors catch up. However, technical limitations exist: the Gemma 4 31B benchmark (optimal use case) requires 64 LPU chips, while scaling to larger mixture-of-experts models like DeepSeek V3 demands over 5 LPX racks—creating cost barriers for mid-market sellers. Cerebras' newly announced CS-4 accelerators (doubling compute and memory bandwidth) and AMD-Cerebras heterogeneous GPU-WSE configurations launching later in 2026 may diminish Nvidia's performance advantage. The strategic implication: sellers must act NOW to integrate Groq-powered agents into product research, pricing, and customer service workflows before competitive parity erodes the 4x speed advantage into commodity pricing.",[39,42,45,48,51,54,57,60],{"title":40,"answer":41,"author":5,"avatar":5,"time":5},"Which seller segments should prioritize Groq 3 adoption in 2026?","**High-Priority Segments**: (1) High-velocity sellers (10,000+ SKUs) where dynamic pricing generates $5K+ monthly margin improvement; (2) Marketplace sellers (Amazon, eBay, Shopify) competing on real-time inventory visibility and pricing; (3) Sellers in competitive categories (electronics, apparel, home goods) where 1-2% price advantages drive significant volume; (4) International sellers managing multi-currency/multi-market pricing. **Medium-Priority**: Mid-market sellers ($1-10M annual revenue) with 1,000-5,000 SKUs where automation ROI is 200-400% annually. **Lower-Priority**: Small sellers (\u003C$500K revenue) where GPU-based inference remains cost-effective and latency tolerance is higher. Sellers should pilot Groq 3 with 100-500 high-margin SKUs first, measuring margin improvement and cost-per-transaction, before scaling to full catalog.",{"title":43,"answer":44,"author":5,"avatar":5,"time":5},"How does Groq 3's architecture compare to competing inference accelerators like Cerebras and AMD?","Groq 3 LPU achieves 3,400 tokens/second on Gemma 4 31B vs. Cerebras CS-3 (882 tokens/second)—a 4x advantage. However, Cerebras' newly announced CS-4 accelerators double compute and memory bandwidth, potentially narrowing the gap. AMD-Cerebras heterogeneous GPU-WSE configurations launching later in 2026 may further erode Nvidia's advantage. The key technical difference: Groq uses SRAM-heavy architecture (2.75TB per chip) optimized for decode-phase inference, while Cerebras and AMD focus on broader model serving. For sellers, this means Groq excels at latency-sensitive tasks (real-time pricing, customer service) but may not be optimal for batch processing (overnight inventory analysis). Sellers should evaluate workload patterns: if 70%+ of inference is latency-sensitive, Groq 3 justifies premium pricing; if batch processing dominates, standard GPUs remain cost-effective.",{"title":46,"answer":47,"author":5,"avatar":5,"time":5},"What are the risks and limitations of Groq 3 for e-commerce sellers?","**Technical Limitations**: (1) Optimal performance requires 64+ LPU chips for Gemma 4 31B models; scaling to larger models (DeepSeek V3) demands 5+ LPX racks, creating cost barriers for mid-market sellers. (2) SRAM's limited capacity (500MB per LPU) requires distributing large models across multiple chips via Ethernet, introducing inter-chip latency that may offset decode-phase gains. (3) Groq 3 optimizes decode phase (token generation) but not prefill phase (context processing)—hybrid GPU-LPU architectures are required, adding complexity. **Market Risks**: (1) Cerebras CS-4 and AMD-Cerebras configurations launching mid-2026 may commoditize performance advantage within 12 months. (2) Premium pricing (20-40% above GPU) may not justify ROI for sellers with \u003C30% latency-sensitive workloads. (3) Vendor lock-in: Groq-optimized agents may not port easily to competing accelerators. **Mitigation**: Use inference-agnostic frameworks (LangChain), pilot with small SKU subsets, and maintain GPU fallback options for cost flexibility.",{"title":49,"answer":50,"author":5,"avatar":5,"time":5},"What AI tools and platforms should sellers use NOW to prepare for Groq 3 adoption?","**Immediate Actions (Q1-Q2 2026)**: (1) Evaluate cloud provider partnerships offering Groq access (Nebius Token Factory is first; AWS/Google Cloud likely to follow by Q3 2026). (2) Audit current AI tool stack: identify latency-sensitive workflows (pricing, customer service, product research) that would benefit from 4x speed improvement. (3) Implement agent frameworks (LangChain, AutoGen, CrewAI) to modularize automation logic—these frameworks are inference-agnostic and work with Groq, GPU, or hybrid architectures. (4) Establish baseline metrics: measure current inference latency, token consumption, and cost for existing AI workflows. **Specific Tools**: LangChain for agent orchestration, Hugging Face Inference API for model serving, Weights & Biases for performance monitoring. **Strategic Positioning**: Sellers who adopt agent frameworks NOW can switch to Groq 3 with minimal code changes once pricing stabilizes (Q3-Q4 2026), gaining 6-month competitive advantage over late adopters.",{"title":52,"answer":53,"author":5,"avatar":5,"time":5},"What specific e-commerce automation tasks benefit most from Groq 3's low-latency inference?","Three high-ROI use cases emerge: (1) **Product Research Automation**: Agents scraping competitor listings, extracting pricing/reviews/inventory in real-time to identify arbitrage opportunities—time savings of 10-15 hours/week per seller. (2) **Dynamic Pricing Optimization**: AI agents analyzing demand signals, competitor prices, and inventory levels to adjust prices within milliseconds—enabling 2-5% margin improvement on high-velocity SKUs. (3) **Multi-Turn Customer Service**: Agents handling complex inquiries (returns, customization, technical support) with full conversation context, reducing escalations by 20-30% and support costs by $500-1,200/month for mid-market sellers. Nebius Token Factory specifically targets these use cases, offering premium pricing for latency-sensitive applications.",{"title":55,"answer":56,"author":5,"avatar":5,"time":5},"How does Groq 3 LPU's 3,400 tokens/second speed advantage enable faster seller automation?","Groq 3 LPU achieves 4x faster token generation (3,400 tokens/sec vs. 882 for Cerebras, 750 for OpenAI Ultrafast) by using on-die SRAM instead of DRAM, eliminating memory bandwidth bottlenecks. For sellers, this means product research agents can scan competitor listings, extract pricing/inventory data, and generate recommendations in real-time without latency delays. A seller running dynamic pricing agents can now update prices across 10,000+ SKUs in seconds rather than minutes, capturing micro-arbitrage opportunities before competitors. Customer service agents can maintain 100K-token context windows (full conversation history) while responding instantly, improving resolution rates by 15-25% according to industry benchmarks.",{"title":58,"answer":59,"author":5,"avatar":5,"time":5},"What are the cost implications of deploying Groq 3-powered agents for sellers?","Groq 3 inference costs premium rates due to scarcity and performance advantage. Cloud providers charge 20-40% more for Groq-powered token serving compared to standard GPU inference (estimated $0.50-1.00 per 1M tokens for Groq vs. $0.30-0.70 for GPU). For a mid-market seller running product research agents 8 hours/day (consuming ~500M tokens/month), monthly costs would be $250-500 for Groq vs. $150-300 for GPU—a $100-200 monthly premium. However, ROI justifies the cost: dynamic pricing agents generate $2-5K monthly margin improvement, product research agents save 40-60 hours/month (worth $1,000-2,000 in labor), and customer service automation reduces support costs by $500-1,200/month. Net ROI: 300-600% annually for sellers deploying 2-3 agent types.",{"title":61,"answer":62,"author":5,"avatar":5,"time":5},"When will Groq 3 LPX infrastructure be available for sellers to access?","Groq 3 LPX entered full production in early 2026, with deployment at Nebius expected 'later in 2026' according to Nvidia announcements. Nebius Token Factory is the first production platform offering Groq-powered inference services. Sellers can access Groq 3 capabilities through cloud providers (Nebius, AWS, Google Cloud) starting mid-2026, though premium pricing (20-40% higher than standard GPU inference) will apply initially. Vera Rubin systems began production earlier in 2026, with Nvidia ramping shipments. The competitive window is 6-12 months: early adopters gain automation advantages before competitors catch up and pricing commoditizes.",[64,69,73,77,81,85,89,93,97,101,105,109,113,117,121,125,129,133,137,141,145,149,153,157,161,165,169,173,177,181,185],{"id":65,"title":66,"source":67,"logo":5,"time":68},1437359,"Nvidia launches Groq 3 LPX AI inference accelerator By Investing.com","https://ca.investing.com/news/stock-market-news/nvidia-launches-groq-3-lpx-ai-inference-accelerator-93CH-4814362","3D AGO",{"id":70,"title":71,"source":72,"logo":23,"time":68},1437370,"Targeting the low-latency AI inference market, NVIDIA (NVDA.US) has commenced full-scale mass production of the Groq 3 LPX, with the first systems to be deployed at NEBIUS (NBIS.US).","https://www.moomoo.com/news/post/75166784/targeting-the-low-latency-ai-inference-market-nvidia-nvdaus-has",{"id":74,"title":75,"source":76,"logo":24,"time":68},1437350,"Nvidia's dedicated inference accelerator Groq 3 LPX enters full production to supercharge AI agents","https://siliconangle.com/2026/08/24/nvidias-dedicated-inference-accelerator-groq-3-lpx-enters-full-production-to-supercharge-ai-agents",{"id":78,"title":79,"source":80,"logo":25,"time":68},1437372,"NVIDIA announces full-scale production of Groq 3 LPX, with Vera Rubin delivering a multi-fold increase in inference efficiency; SpaceX AI intensifies investments in AI agents and space-based AI.","https://www.moomoo.com/news/post/75168062/nvidia-announces-full-scale-production-of-groq-3-lpx-with",{"id":82,"title":83,"source":84,"logo":27,"time":68},1437371,"Nvidia readies the launch of its Groq racks dedicated to inference","https://www.marketscreener.com/news/nvidia-readies-the-launch-of-its-groq-racks-dedicated-to-inference-ce7858dbdc8bf525",{"id":86,"title":87,"source":88,"logo":11,"time":68},1437356,"Nvidia begins production of Groq AI racks after $20B purchase","https://www.aa.com.tr/en/science-technology/nvidia-begins-production-of-groq-ai-racks-after-20b-purchase/4036129",{"id":90,"title":91,"source":92,"logo":36,"time":68},1437355,"Nvidia Reports Groq 3 LPX AI Processor in Full Production","https://www.marketscreener.com/news/nvidia-reports-groq-3-lpx-ai-processor-in-full-production-ce7858dbdc8cf624",{"id":94,"title":95,"source":96,"logo":13,"time":68},1437377,"NVIDIA Groq 3 LPX Enters Full Production for Agentic AI Inference","https://www.hpcwire.com/bigdatawire/this-just-in/nvidia-groq-3-lpx-enters-full-production-for-agentic-ai-inference",{"id":98,"title":99,"source":100,"logo":21,"time":68},1437358,"Nvidia's Groq 3 LPX Enters Mass Production with 30x Throughput per Megawatt; Low-Latency Inference Becomes the New Battleground","https://finance.biggo.com/news/78e2a226-90ed-4e3e-90ec-ac63827d5242",{"id":102,"title":103,"source":104,"logo":28,"time":68},1437357,"NVIDIA Enters Full Production of Groq 3 LPX AI Inference Accelerator Chips, Supercharging Vera Rubin With The Fastest Token Generation Speeds Ever Recorded","https://wccftech.com/nvidia-groq-3-lpx-ai-inference-accelerator-full-production-supercharging-vera-rubin",{"id":106,"title":107,"source":108,"logo":12,"time":68},1437352,"NVIDIA Extends Vera Rubin with Groq 3 LPX for AI Agents","https://www.techbuzz.ai/articles/nvidia-extends-vera-rubin-with-groq-3-lpx-for-ai-agents",{"id":110,"title":111,"source":112,"logo":33,"time":68},1437374,"NVIDIA Groq 3 LPX Achieves Full Production for Agentic AI","https://blockchain.news/news/nvidia-groq-3-lpx-agentic-ai-inference",{"id":114,"title":115,"source":116,"logo":31,"time":68},1437351,"Nvidia Groq 3 LPX AI inference chip enters full production","https://qz.com/nvidia-groq-3-lpx-inference-chip-full-production-082426",{"id":118,"title":119,"source":120,"logo":16,"time":68},1437373,"NVIDIA Groq 3 LPX Hits Production for Agentic AI Speed","https://www.techbuzz.ai/articles/nvidia-groq-3-lpx-hits-production-for-agentic-ai-speed",{"id":122,"title":123,"source":124,"logo":20,"time":68},1437354,"Nvidia says Groq 3 LPX now in full-scale production (NVDA:NASDAQ)","https://seekingalpha.com/news/4636292-nvidia-says-groq-3-lpx-now-in-full-scale-production",{"id":126,"title":127,"source":128,"logo":5,"time":68},1437376,"NVIDIA Groq 3 LPX Now in Full Production With World-Class Speed for Agentic AI","https://nvidianews.nvidia.com/news/nvidia-groq-3-lpx-now-in-full-production-with-world-class-speed-for-agentic-ai",{"id":130,"title":131,"source":132,"logo":14,"time":68},1437353,"$NVIDIA (NVDA.US)$, following their $20B deal... Announces Groq3 LPX now in full production. With $NEBIUS (NBIS.US)$ the first to adopt through Nebius token factory. - 3,400 tok/s in Artificial Analysis benchmarking running Gemma 4 31B, with 100k token","https://www.moomoo.com/community/feed/nvidia-nvda-us-following-their-20b-deal-announces-groq3-lpx-117151189630981",{"id":134,"title":135,"source":136,"logo":33,"time":68},1437375,"NVIDIA Groq 3 LPX Hits Full Production, Boosts AI Inference Speed","https://blockchain.news/news/nvidia-groq-3-lpx-full-production-ai-inference",{"id":138,"title":139,"source":140,"logo":34,"time":68},1437349,"How NVIDIA Groq 3 LPX Unlocks Ultrafast Interactivity at Long Context on NVIDIA Vera Rubin | NVIDIA Technical Blog","https://developer.nvidia.com/blog/how-nvidia-groq-3-lpx-unlocks-ultrafast-interactivity-at-long-context-on-nvidia-vera-rubin",{"id":142,"title":143,"source":144,"logo":10,"time":68},1437348,"Nvidia says Groq racks will be online this year following $20 billion purchase","https://www.cnbc.com/2026/08/24/nvidia-says-groq-racks-will-be-online-this-year-after-20-billion-deal.html",{"id":146,"title":147,"source":148,"logo":35,"time":68},1437361,"NVIDIA Groq 3 LPX Enters Full Production: 3,400 Tokens per Second at 100K Context, 256 LP30s per Rack","https://www.storagereview.com/news/nvidia-groq-3-lpx-enters-full-production-3400-tokens-per-second-at-100k-context-256-lp30s-per-rack",{"id":150,"title":151,"source":152,"logo":29,"time":68},1437360,"Nvidia puts Groq 3 LPX into full production, racks set to go online this year","https://www.firstpost.com/tech/nvidia-puts-groq-3-lpx-into-full-production-racks-set-to-go-online-this-year-14040482.html",{"id":154,"title":155,"source":156,"logo":19,"time":68},1437367,"NVIDIA Groq 3 LPX Enters Production for Agentic AI Inference","https://www.technetbooks.com/2026/08/nvidia-groq-3-lpx-enters-production-for.html",{"id":158,"title":159,"source":160,"logo":26,"time":68},1437366,"NVIDIA Groq 3 LPX Achieves 3,431 TPS Benchmark on Vera Rubin","https://blockchain.news/news/nvidia-groq-3-lpx-benchmark-vera-rubin",{"id":162,"title":163,"source":164,"logo":15,"time":68},1437347,"What Nvidia's first Groq 3 LPU benchmarks tell us about its $20B gamble","https://www.theregister.com/systems/2026/08/24/what-nvidias-first-groq-3-lpu-benchmarks-tell-us-about-its-20b-gamble/5291880",{"id":166,"title":167,"source":168,"logo":18,"time":68},1437369,"Nvidia's $20B Groq Bet: New Racks Online by Year-End","https://www.techbuzz.ai/articles/nvidia-s-20b-groq-bet-new-racks-online-by-year-end",{"id":170,"title":171,"source":172,"logo":32,"time":68},1437368,"With Groq 3 LPX in Full Production, NVIDIA Extends Vera Rubin Inference for Agents","https://blogs.nvidia.com/blog/vera-rubin-lpx-spectrum-x-nvlink-fusion",{"id":174,"title":175,"source":176,"logo":22,"time":68},1437363,"NVIDIA Groq 3 LPX in Full Production, Delivers Record Inference Speed for Agentic AI Workloads","https://www.quiverquant.com/news/NVIDIA+Groq+3+LPX+in+Full+Production%2C+Delivers+Record+Inference+Speed+for+Agentic+AI+Workloads",{"id":178,"title":179,"source":180,"logo":17,"time":68},1437362,"NVIDIA Groq 3 LPX enters full production, targeting agentic AI inference","https://247wallst.com/cards/nvidia-groq-3-lpx-now-in-full-production-with-world-class-speed-for-agentic-ai-nvda-press-release-01m0t840xx60yrq3wj2w1mye6h",{"id":182,"title":183,"source":184,"logo":5,"time":68},1437365,"Nvidia rolls out Groq 3 racks to accelerate AI responses","https://news.az/news/nvidia-rolls-out-groq-3-racks-to-accelerate-ai-responses",{"id":186,"title":187,"source":188,"logo":30,"time":68},1437364,"Nvidia starts full production of Groq 3 LPX racks","https://breakingthenews.net/Article/Nvidia-starts-full-production-of-Groq-3-LPX-racks/66975289","#bb9f95ff","#bb9f954d",1787963483572]