News
Run Diffusion Gemma on NVIDIA for Developer-Ready, High-Throughput Text Generation
1+ hour, 58+ min ago (409+ words) | NVIDIA Technical Blog NVIDIA Developer Run Diffusion Gemma on NVIDIA for Developer-Ready, High-Throughput Text Generation - Diffusion Gemma, developed by Google Deep Mind and optimized for NVIDIA hardware, generates tokens in parallel using diffusion-based denoising, enabling much faster and more scalable…...
Delivering Lifecycle Control for AI Infrastructure at Scale with NVIDIA DGX Spark Enterprise Manageability
1+ day, 6+ min ago (692+ words) As AI infrastructure scales, enterprise expectations for operational maturity are increasing. Organizations expect these systems to be provisionable, observable, secure, and manageable at scale'the same standard applied to all critical infrastructure. The moment an AI system moves from development into…...
Model Quantization: Turn FP8 Checkpoints into High-Performance Inference Engines with NVIDIA Tensor RT
23+ hour, 50+ min ago (726+ words) Converting a quantized checkpoint into an NVIDIA Tensor RT engine bridges the gap between model optimization and production deployment, enabling faster inference, higher throughput, and more efficient GPU utilization at scale. This post picks up where we left off, walking…...
Evaluate Clinical ASR Models Faster with Agent Skills and NVIDIA Nemotron Speech
4+ day, 19+ hour ago (515+ words) Training a speech AI model to correctly recognize or synthesize clinical terminology is surprisingly difficult. Drug names like Acetaminophen, Amlodipine…...
Train Models Faster with JAX and Max Text Using NVFP4 on NVIDIA Blackwell
2+ day ago (751+ words) Pre-training frontier LLMs comes down to throughput. When training spans trillions of tokens across thousands of accelerators, every percentage point of step time can add up to days of training and substantial compute costs. Numerical precision is one of the…...
NVIDIA Nemotron 3 Ultra Powers Faster, More Efficient Reasoning for Long-Running Agents
6+ day, 5+ hour ago (1100+ words) Single-turn chatbots are evolving into long-running agents that can reason, maintain context, use tools, and run efficiently across many turns to complete complex workflows. However, these multi-agent workflows cause token counts to grow quickly. Agents plan, call tools, invoke sub-agents,…...
Build Personal AI Agents on Windows PCs with New Tools from Microsoft and NVIDIA
1+ week, 23+ hour ago (907+ words) Turnkey agent sandboxing on native Windows is now available, plus 2x faster agentic inference, new agent apps, and more AI agents are changing how you interact with your PC. Creators, developers, and AI enthusiasts are already using these agents extensively to…...
Deploy Self-Evolving Agents for Faster, More Secure Research with a Hermes Agent and NVIDIA Nemo Claw
1+ week, 1+ day ago (745+ words) AI agents are a powerful tool for synthesizing data to accelerate research, summarize information, and help teams make decisions faster. But combining internal data with public sources poses security challenges." This post shares an open source example using Hermes Agent…...
Deploy Agentic-Ready AI at the Edge with Memory Efficiency in NVIDIA Jet Pack 7. 2
1+ week, 1+ day ago (658+ words) Release features include one-command deployment of NVIDIA Nemo Claw, NVIDIA agent skills for Jetson, official Yocto Project support, Super Mode on Jetson AGX Orin 32 GB As AI agents move from the digital world to the physical environment, they can readily…...
Run Local AI Agents with Faster Models and Multi-Node Clustering on NVIDIA DGX Spark
1+ week, 1+ day ago (570+ words) The rise of autonomous, long-running AI agents has introduced a new class of compute demand, namely tasks that maintain large context windows, spawn concurrent subagents, and iterate continuously without cloud dependency. Security and privacy concerns are also accelerating the shift…...