Nvidia is a US chip company that designs GPUs and AI computing platforms, and its CUDA software stack is widely used to train and run AI models. Recent coverage has centered on its stock and valuation: Apple overtook Nvidia as the world's most valuable company on Oct. 30, and Nvidia shares fell as much as 5.3% that day, with FQ2 revenue of $96 billion, up 106% year over year. Nvidia also plans a $1 billion investment in Naver for a 4.54% stake.
AI data-center debt mounts as CoreWeave owes $35.6BBBC reports that neocloud firms powering AI are borrowing heavily to build data centers and buy Nvidia GPUs, worrying investors. CoreWeave's total debt reached $35.6 billion as of June 2026, several major operators' shares fell about a quarter in a month, and Gartner expects over 80% of neoclouds to lose independence by 2030.
Ed Zitron Claims Over Half of NVIDIA GPUs Sit Idle in WarehousesA Reddit post cites author Ed Zitron's tweet claiming more than half of NVIDIA's GPUs are unproductive and stockpiled in warehouses, alongside a remark about Altman complaining over users having RAM in their PCs. No sourcing is provided; it is a social-media repost.
OpenAI Plans Post-Midterm Campaign to Promote 'AI Compute Campuses'OpenAI plans a Washington policy and communications push after the Nov. 3 midterms, branding data centers as 'AI compute campuses' to shape AI debates. Its agenda includes mandatory national AI safety rules; Chief Global Affairs Officer Chris Lehane backed four California bills on Sept. 9. OpenAI also criticized ineffective AI political spending and launched an Election Operations Center.
User Buys Two RTX 3090s for €1,700, Seeks Three-GPU LLM SetupA user bought two RTX 3090 Founders Editions for €1,700 on Facebook Marketplace, bringing his total to three cards (72GB of VRAM), but his standard B760 motherboard and small case cannot fit three 3-slot GPUs. He is asking the community for low-cost options, such as an open-air mining frame with PCIe 4.0 risers and dual PSUs, or selling the third card (about €1,100) to keep 48GB of VRAM.
Apple overtakes Nvidia as world's most valuable companyApple reclaimed the title of world's most valuable company on Friday, overtaking Nvidia, as investors worried about AI spending seek the perceived safety of the iPhone maker.
Nvidia shares fall as AI cost concerns mountNvidia stock fell as much as 5.3% Friday. Reports say it may provide billions in credit guarantees for an Nscale data center used by Anthropic, on top of $165B in data center commitments and over $63B in public-company equity stakes. FQ2 revenue was $96B, up 106% year over year.
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Experts debate whether the economy relies too much on AIA Chicago Booth panel debated whether AI poses excessive risk to the economy, citing a Goldman Sachs report projecting global AI capital spending to exceed $1 trillion in 2026. Most agreed risks exist, noting hyperscaler debt and vendor financing increase fragility, though risk-return remains favorable.
Developer builds Halloween haunted house with NVIDIA Nemotron modelsA Hugging Face blog post details MonsterHouse, a Halloween projection built on the NVIDIA Nemotron Voice Agent with Nemotron ASR, Nemotron 3.5 Bolt E4B, Magpie TTS Zeroshot and Audio2Face-3D. The garage door talks like a grumpy pirate ship, and everything runs on a single workstation.
AI Spending Fears Wipe $2 Trillion From Tech StocksThe Nasdaq 100 is set to erase more than $2 trillion in October, down over 5.8%, as Meta, Alphabet and Amazon raised AI capex forecasts. Alphabet posted its largest one-day decline on record, while Microsoft and SpaceX results showed AI investments starting to pay off.
Agentic AI Joins the Search for Extraterrestrial IntelligenceBreakthrough Listen and the SETI Institute are integrating agentic AI into the daily search for extraterrestrial intelligence. At the Allen Telescope Array, agents can steer the instrument, correct data and run AI models on live streams via natural-language requests, with NVIDIA's Holoscan platform handling terabits-per-second sensor data. Researchers say the search becomes faster and more adaptable.
Runware plans factory to mass-produce AI data center podsRunware plans to assemble its Sonic Inference Pod modular data centers on an assembly line at its Romania factory, targeting 30 MW of capacity per day by 2028, or nearly 1 GW per month. It has two factories, with the second due online early next year; delivering at that scale is the real test.
Celestica posts strong Q3 as AI data center build-out acceleratesSemiAnalysis expects global data center capacity additions to reach 51.2 GW in 2027, more than double this year's 25 GW. Celestica reported strong third-quarter results on Oct. 26 and its shares rose 12%, with the article arguing it could grow faster than Nvidia on AI infrastructure spending.
Nvidia to invest $1 bn in Naver for 4.54% stakeNvidia will invest $1 billion in Naver for a 4.54% stake, becoming its third-largest shareholder ahead of founder Lee Hae-jin. Naver also secured Brookfield backing for a $9 billion AI data center buildout and plans a wholly owned subsidiary to sell AI computing services.
RTX 5080 reportedly pulled from NVIDIA marketplaceRumors say the 16GB RTX 5080 has been removed from NVIDIA's marketplace and will be discontinued alongside the RTX 5090. A 24GB model using the same GPU die is reportedly planned for early 2027, with VRAM the main change. Added AI appeal could tighten stock and pricing.
Community debates what counts as quality-neutral inferenceA Reddit user cites NVIDIA Ling-3.0-flash results on one DGX Spark: GSM8K fell from 96.89% to 96.82% over 1,319 questions. The optimized setup combines a changed MoE backend, an FP8 output head and NEXTN speculative decoding, and the poster asks what evidence suffices to claim no meaningful quality regression.
India's AM Intelligence seeks $3B to fund Nvidia chip orderIndian AI infrastructure firm AM Intelligence is seeking up to $3 billion to fund a previously announced purchase of Nvidia's next-generation chips, according to people familiar with the matter, the latest sign of debt-fueled expansion in the AI boom.
Nvidia in talks to back Nscale data center with credit supportNvidia is in discussions to provide credit guarantees for an Nscale data center facility that Anthropic plans to use, according to a person familiar with the matter. The move shows chip suppliers using financial support to accelerate AI compute buildout.
Google tops AI intelligence index as OpenAI halves model priceGoogle released Gemini 4 Carbon, topping the Artificial Analysis Intelligence Index with a score of 59, focused on finding and fixing security flaws; Chrome's team says it produced over 10x better fixes than another frontier model. OpenAI halved the price of GPT-6.1 Terra, which it says handles computer tasks over three times faster. Block, Rime, Nvidia and Liquid AI also shipped locally runnable voice and small models.
TKintegers K5 tops FP8 baseline in ternary inferenceA developer released TKintegers, a balanced-ternary weight representation with GPU inference kernels. On Qwen2.5-0.5B-Instruct, K5 reached 3,402.85 tokens/s prefill and 26.75 tokens/s decode on an NVIDIA L4 lacking native K5 instructions, 3.21x and 3.10x the TorchAO FP8 baseline. The author noted the FP16 control was faster and results are limited to this setup.
Cohere raising at over $20 billion valuationAI model maker Cohere is raising a large round at a $20.5 billion valuation, roughly tripling its value from a year ago. Canada and Nvidia are backing the round.
NYT: Chinese intelligence targeted Nvidia CEO Jensen HuangThe New York Times reports US intelligence believes Alice Huang of Singapore-based Megaspeed, close to Nvidia CEO Jensen Huang, passes information to Beijing; Megaspeed is also suspected of helping China obtain Nvidia chips. A Malaysian affiliate bought at least $4.8B of Nvidia-based AI hardware. Nvidia says it wasn't warned; Megaspeed opened an internal probe.
Hugging Face launches AnySpeechRecognizer and AnyDecisionModel for Apple platformsHugging Face released two open Swift packages for Apple platforms. AnySpeechRecognizer wraps Apple's iOS 26/macOS 26 SpeechAnalyzer API with selectable engines including Parakeet and Qwen3-ASR on Core ML, plus speaker diarization. AnyDecisionModel answers yes/no, multiple-choice and rating questions from probabilities rather than generated text. Both fetch models from the Hugging Face Hub and run on device.
FuriosaAI valuation quadruples to $2.9 billionSouth Korean AI chip startup FuriosaAI quadrupled its valuation to $2.9 billion in a new funding round, aiming to challenge Nvidia.
DOJ queries Nvidia's $13B Hugging Face dealThe US Justice Department is making inquiries about Nvidia's roughly $13 billion agreement to acquire AI model company Hugging Face, Reuters reported, part of broader regulatory scrutiny of the chip giant.
$60M AI supercomputer listed on eBay with 9,600 A100sAn IT vendor listed a decommissioned AI supercomputer on eBay for $60 million, featuring 9,600 Nvidia A100 GPUs and 4,200 AMD EPYC CPUs across 300 racks, with free shipping.
NVIDIA RTX Spark laptops gain new models, agent tools and gamesNVIDIA said RTX Spark laptops are now available from ASUS, Dell, HP, Lenovo, Microsoft and MSI, combining a Blackwell RTX GPU and Grace CPU with up to 128GB unified memory and 1 petaflop of FP4 AI performance. Updates include the open-weight Nemotron 3.5 Transcribe speech model, LFM3 support and GPU resource controls in NVIDIA App.
NVIDIA releases Nemotron 3.5 Transcribe model and Granary v2 pipelineNVIDIA released Nemotron 3.5 Transcribe, an open-weight promptable speech model combining transcription, speaker diarization, translation and audio Q&A in one checkpoint. It transcribes 40 languages, translates 31 to or from English and diarizes 13, handling recordings up to an hour with eight speakers. It ranks first among open-weight models on Hugging Face's English ASR leaderboard, alongside the Granary v2 data pipeline and NeMo fine-tuning recipes for domain adaptation.
Musk and Huang clash over AI neoclouds: can China weather the storm?The South China Morning Post reports that Elon Musk and Nvidia CEO Jensen Huang are at odds over AI neoclouds and asks whether China can weather the fallout. The supplied text contains only the headline, with no specific arguments or figures.
Nvidia vs TSMC: Which Is the Biggest AI Winner?The Motley Fool compares Nvidia and TSMC: Nvidia leads in GPU design with CUDA and gross margins above 70%, with recent quarterly revenue up 106% to $96 billion; TSMC benefits by manufacturing its chips. Their shares rose over 400% and 300% in three years.
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