Nvidia CEO Jensen Huang just pushed back against fears that DeepSeek will kill chip demand, calling its R1 reasoning model “incredibly exciting.” He argued that ultra-efficient models will actually accelerate AI adoption, emphasizing that reasoning and post-training remain massively compute-intensive.
Nvidia just partnered with the American Society for Deaf Children to launch Signs, an interactive platform for learning American Sign Language. Learners follow a 3D avatar and receive real-time feedback via webcam AI. Nvidia aims to build and publicly release a 400,000-video dataset to fuel future accessible AI tools.
Perplexity just open-sourced R1 1776, a post-trained variant of DeepSeek-R1 designed to remove political censorship without sacrificing performance. Trained with Nvidia NeMo on a curated 40,000-prompt dataset, it delivers factual answers across sensitive topics while keeping original math and reasoning strengths intact.
Arc Institute, Stanford, and NVIDIA just rolled out Evo 2, the largest publicly available biological foundation model. Trained on nearly 9 trillion nucleotides across all domains of life, it handles 1-million-token contexts and scored 90% accuracy in predicting breast cancer gene mutations.
The IRS is preparing to purchase an Nvidia SuperPod AI supercomputer packing 31 servers with eight Blackwell processors each. According to newly revealed acquisition documents, the system will handle complex machine learning workloads like automated fraud detection. Why it matters: As federal agencies push for automation, specialized government supercomputing could significantly accelerate replacing bureaucratic headcounts.
Meta is reportedly in talks to acquire South Korean chip startup FuriosaAI, with an announcement possible as soon as this month. FuriosaAI builds chips that speed up model serving, including text models like Llama 3. The move highlights Meta's push to cut reliance on Nvidia as its AI budget climbs to $65 billion this year.
Nvidia just publicly pushed back against the Biden administration's new 200-page "AI Diffusion" rule, calling it misguided overreach. The chip giant argues the sweeping restrictions micromanage how semiconductors and even consumer gaming PCs are sold globally, hurting American competitiveness rather than protecting it.
NVIDIA just released its latest retail industry report, revealing that nearly 90% of retailers and CPG brands are now using or testing AI. Over 94% reported cuts in operating costs, with generative AI largely deployed for marketing content and predictive analytics.
Stability AI and NVIDIA just rolled out SPAR3D at CES, turning single 2D images into detailed 3D objects in just 0.7 seconds. The architecture pairs a point diffusion model with a triplane transformer, letting creators edit point clouds and rebuild meshes in 0.3 seconds. Weights are open on Hugging Face for RTX AI PCs.
NVIDIA just expanded its NIM microservices and AI Blueprints to RTX AI PCs, pairing prepackaged model APIs with RTX 50 Series FP4 compute. By cutting VRAM requirements by more than half, developers can run complex agentic workflows locally without painful optimization. Hardware support arrives next month.
Nvidia just unveiled Mega at CES, an Omniverse blueprint designed to test and optimize physical AI and industrial robot fleets in digital twins before real-world deployment. It combines Isaac robotics and Omniverse sensor simulation, allowing operators like KION Group to simulate infinite warehouse scenarios. Why it matters: Bringing software-defined simulation to physical factories finally lets logistics scale without trial-and-error downtime.
Nvidia just unveiled Project Digits at CES 2025, a $3,000 personal AI supercomputer powered by its new GB10 Grace Blackwell Superchip. The compact workstation packs 128GB of memory, letting researchers and developers run models with up to 200 billion parameters right on their desks—or link two together for 405-billion-parameter beasts. It begins shipping in May.
NVIDIA just opened early access for its Omniverse Sensor RTX APIs, targeting AV and robotics developers. The tool simulates physically accurate data for cameras, radar, and lidar, letting teams safely generate rare edge cases without risking real-world hardware. Partners like Accenture, Foretellix, and Nuro are already plugging it into their testing pipelines.
Nvidia just released a new AI Blueprint for video search and summarization, designed to let visual agents ingest surveillance and industrial footage at 30x real-time speed. Powered by Cosmos Nemotron models, the agents pack reasoning and tool-calling skills to flag factory defects or analyze athletic form. Why it matters: it unlocks actionable data from billions of unwatched cameras.
NVIDIA just unveiled its GeForce RTX 50 series GPUs at CES, doubling generative AI performance with FP4 support. The new quantization cuts model memory needs in half, allowing models like FLUX.1 to run locally on under 10GB of VRAM in just five seconds. The flagship RTX 5090 launches January 30.
NVIDIA just introduced the Llama Nemotron and Cosmos Nemotron model families, custom-built to power autonomous AI agents across enterprises. Available in Nano, Super, and Ultra sizes, the open models use distillation and pruning to run everywhere from edge PCs to multi-GPU clusters. Why it matters: It gives developers purpose-built open building blocks to deploy multi-agent workflows without bleeding compute budgets.
NVIDIA just unveiled Cosmos at CES, a platform of open generative world foundation models designed for physical AI like autonomous vehicles and robots. Built into its three-computer AV pipeline, Cosmos turns thousands of human-driven miles into billions of synthetic driving miles to stress-test edge cases. The models are already available under an open license.
Nvidia just teamed up with orchestration leaders like LangChain and CrewAI to release new enterprise-ready Agentic AI Blueprints. The catalog includes pre-built templates for turning PDFs into conversational podcasts, automating code docs, and orchestrating multi-agent systems, letting developers spin up reasoning workflows in a single click via NVIDIA Launchables.
NVIDIA just unveiled its Isaac GR00T Blueprint for synthetic motion generation alongside the new Cosmos world foundation models at CES. Developers can capture human demos via Apple Vision Pro and multiply them into massive synthetic datasets in Omniverse. Robotics giants Boston Dynamics and Figure are already onboard.
NVIDIA just launched the DRIVE AI Systems Inspection Lab to help automakers and suppliers verify self-driving tech against strict international safety standards. Accredited by ANAB, the lab evaluates partners' software on the DRIVE AGX platform across functional safety, cybersecurity, and AI compliance, with Continental and Sony among the first onboard.
