Tag: nvidia
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The 8 GB Accelerator That Becomes 64 GB: cmpunlocker v0.5
On 5 October 2026, the open-source project cmpunlocker released version 0.5, adding error-correcting code (ECC) on both DRAM and SRAM, and four more streaming multiprocessors (SMs), to a card it has spent more than a year re-enabling: the NVIDIA CMP 170HX. The board is a GA100 accelerator — the same Ampere die that sits in […]
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NVIDIA OpenShell Puts AI Agents in Kernel-Enforced Sandboxes
On September 28, 2026, NVIDIA launched the Open Agent Safety Platform, a two-part stack for containing autonomous AI agents. It pairs OpenShell, an Apache 2.0 open-source runtime that runs agents inside kernel-level sandboxes governed by declarative policy, with Sentry, a reference design that moves monitoring onto a separate BlueField-4 DPU. The design premise, in the […]
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NVIDIA RTX PRO 5500 Blackwell: 5090 Compute, 84 GB, Built for Racks
NVIDIA has added the RTX PRO 5500 Blackwell Workstation Edition to its professional GPU lineup. Product listings went up on September 14, 2026. The card pairs the same 21,760 CUDA cores as the consumer GeForce RTX 5090 with 84 GB of ECC GDDR7 memory, 2.6 times the 5090’s 32 GB, and draws up to 600 […]
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NVIDIA Reportedly Buys Hugging Face for $12.9B — llama.cpp Included
On August 26–27, 2026, multiple outlets reported that NVIDIA has agreed to acquire Hugging Face for roughly $12.9 billion — a deal that, if it closes, would be the largest acquisition in NVIDIA’s history and would place the AI ecosystem’s default model-distribution platform under the ownership of its dominant chip vendor. Neither company has confirmed […]
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NVIDIA Releases NemotronLabs VoiceChat, an Open Full-Duplex Voice Model
NVIDIA released NemotronLabs VoiceChat on August 3, 2026 — an 11-billion-parameter, end-to-end speech model that listens and speaks at the same time, published with open weights on Hugging Face. It is the first open full-duplex model that can call tools mid-conversation, and independent testing from Artificial Analysis places it as the only open-weights speech model […]
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Jensen Huang’s First X Post: 150+ Companies Sign Open-Weights Letter, Anthropic Doesn’t
On July 24, 2026, NVIDIA CEO Jensen Huang made his first-ever post on X — and used it to publish an industry coalition letter titled “Open Weights and American AI Leadership.” The three-page statement, hosted on NVIDIA’s own servers and mirrored on Microsoft’s corporate site, asks Washington not to restrict downloadable model weights. It launched […]
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NVIDIA Star Elastic: One Checkpoint, Three Reasoning Models, Zero-Shot Slicing
On May 7, 2026, NVIDIA released Star Elastic — a single 30-billion-parameter reasoning checkpoint that contains two smaller production-ready models, 23B and 12B, embedded in its weights. Developers can extract the smaller variants with a one-shot slicing script, no fine-tuning required. The release introduces a “many-in-one” approach to LLM packaging that NVIDIA reports cuts post-training […]
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NVIDIA Releases Kimodo: Controllable Text-to-Motion for Characters and Humanoid Robots
On March 16, 2026, NVIDIA released Kimodo — a kinematic motion diffusion model that turns text prompts and sparse kinematic constraints into high-quality 3D human and humanoid-robot motion. Trained on 700 hours of commercially-friendly optical motion capture data, Kimodo ships as an open-source project on GitHub and Hugging Face, with seven model checkpoints spanning the […]
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NVIDIA Releases gpt-oss-puzzle-88B: Up to 2.82× Faster Reasoning on a Single H100
On March 26, 2026, NVIDIA released gpt-oss-puzzle-88B — a deployment-optimized version of OpenAI’s gpt-oss-120B reasoning model that delivers up to 2.82× faster inference while matching or exceeding the original model’s accuracy. Created using NVIDIA’s Puzzle neural architecture search framework, the 88-billion-parameter model fits on a single H100 GPU and represents a significant step forward in […]
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NVIDIA Launches Nemotron Coalition to Build Open Frontier AI Models
At GTC 2026 on March 16, NVIDIA announced the Nemotron Coalition — a first-of-its-kind collaboration uniting eight leading AI labs to co-develop open frontier foundation models. The coalition pools expertise, datasets, and compute on NVIDIA DGX Cloud to produce open-weight models that any organization can specialize for its own domain. General Audience Key points At […]