Run NVIDIA BioNeMo NIM Microservices for Protein Structure Prediction in Claude Science
https://developer.nvidia.com/blog/run-nvidia-bionemo-nim-microservices-for-protein-structure-prediction-in-claude-science/
https://developer.nvidia.com/blog/run-nvidia-bionemo-nim-microservices-for-protein-structure-prediction-in-claude-science/
NVIDIA Technical Blog
Run NVIDIA BioNeMo NIM Microservices for Protein Structure Prediction in Claude Science
Agentic AI is changing how research is done. AI scientists can read papers, propose hypotheses, call models, and determine which experiments to prioritize next. First proving their value in software…
How to Size GPUs for AI Inference and TCO Without Overspending
https://developer.nvidia.com/blog/how-to-size-gpus-for-ai-inference-and-tco-without-overspending/
https://developer.nvidia.com/blog/how-to-size-gpus-for-ai-inference-and-tco-without-overspending/
Building an Adaptive Agentic Cybersecurity System with NVIDIA Nemotron
https://developer.nvidia.com/blog/building-an-adaptive-agentic-cybersecurity-system-with-nvidia-nemotron/
https://developer.nvidia.com/blog/building-an-adaptive-agentic-cybersecurity-system-with-nvidia-nemotron/
NVIDIA Technical Blog
Building an Adaptive Agentic Cybersecurity System with NVIDIA Nemotron
AI is changing the pace of cybersecurity. Agentic systems can coordinate work and pursue complex objectives over long horizons. Security teams are beginning to apply agents across security operations…
NVIDIA and CrowdStrike Strengthen Agentic Cybersecurity Frontier
https://blogs.nvidia.com/blog/nvidia-crowdstrike-fal-con-2026/
https://blogs.nvidia.com/blog/nvidia-crowdstrike-fal-con-2026/
NVIDIA Blog
NVIDIA and CrowdStrike Strengthen Agentic Cybersecurity Frontier
New CrowdStrike SafeMind agentic cybersecurity system built with NVIDIA Nemotron open models delivers greater protection and cost savings for cyber defense.
Co-Designing AI Models Using Speculative Decoding for Faster LLM Inference
https://developer.nvidia.com/blog/co-designing-ai-models-using-speculative-decoding-for-faster-llm-inference/
https://developer.nvidia.com/blog/co-designing-ai-models-using-speculative-decoding-for-faster-llm-inference/
NVIDIA Technical Blog
Co-Designing AI Models Using Speculative Decoding for Faster LLM Inference
This post is the third in a series on AI model co-design. It explores how to accelerate LLM inference while maintaining accuracy using speculative decoding and offers five guidelines for selecting…
The Modern CUDA Toolbox in Practice: A Step-by-Step Optimization Walkthrough
https://developer.nvidia.com/blog/the-modern-cuda-toolbox-in-practice-a-step-by-step-optimization-walkthrough/
https://developer.nvidia.com/blog/the-modern-cuda-toolbox-in-practice-a-step-by-step-optimization-walkthrough/
NVIDIA Technical Blog
The Modern CUDA Toolbox in Practice: A Step-by-Step Optimization Walkthrough
NVIDIA CUDA remains the foundation of GPU-accelerated computing, powering everything from scientific simulations to large-scale AI training. But writing correct, maintainable, and performant CUDA code…
‘NBA 2K27’ With NVIDIA DLSS 5 Leads 28 New Games Coming to GeForce NOW
https://blogs.nvidia.com/blog/geforce-now-thursday-september-2026-games-list/
https://blogs.nvidia.com/blog/geforce-now-thursday-september-2026-games-list/
NVIDIA Blog
‘NBA 2K27’ With NVIDIA DLSS 5 Leads 28 New Games Coming to GeForce NOW
Stream ‘NBA 2K27’ with DLSS 5 across supported devices — plus, jump into ‘The Blood of Dawnwalker,’ ‘Onimusha: Way of the Sword’ and more.
Sparks Fly: NVIDIA Accelerates Local AI at IFA 2026
https://blogs.nvidia.com/blog/local-ai-ifa-next-gen-agents-nv-pair-rtx-spark/
https://blogs.nvidia.com/blog/local-ai-ifa-next-gen-agents-nv-pair-rtx-spark/
NVIDIA Blog
Sparks Fly: NVIDIA Accelerates Local AI at IFA 2026
At IFA 2026, NVIDIA and partners are providing faster inference and new tools that make agents easier to set up and run locally.
NVIDIA PAIR Virtual Inference Router Expands Available Compute on Your Local Network
https://developer.nvidia.com/blog/nvidia-pair-virtual-inference-router-expands-available-compute-on-your-local-network/
https://developer.nvidia.com/blog/nvidia-pair-virtual-inference-router-expands-available-compute-on-your-local-network/
NVIDIA Technical Blog
NVIDIA PAIR Virtual Inference Router Expands Available Compute on Your Local Network
AI agents are learning to do more by working together. A lead agent can break a complex task into smaller jobs and assign those jobs to specialized subagents. Additionally, users are starting to run…
How to Carry User Identity Across Federated Kubernetes and AI Platforms
https://developer.nvidia.com/blog/how-to-carry-user-identity-across-federated-kubernetes-and-ai-platforms/
https://developer.nvidia.com/blog/how-to-carry-user-identity-across-federated-kubernetes-and-ai-platforms/
NVIDIA Technical Blog
How to Carry User Identity Across Federated Kubernetes and AI Platforms
Modern AI platforms are no longer a single application behind one login screen. A user may start in a central portal, open a governed dataset, launch a notebook where that data resides…
Frontier Reasoning Reaches the Edge: How to Deploy and Optimize Models on NVIDIA Jetson
https://developer.nvidia.com/blog/frontier-reasoning-reaches-the-edge-how-to-deploy-and-optimize-models-on-nvidia-jetson/
https://developer.nvidia.com/blog/frontier-reasoning-reaches-the-edge-how-to-deploy-and-optimize-models-on-nvidia-jetson/
NVIDIA Technical Blog
Frontier Reasoning Reaches the Edge: How to Deploy and Optimize Models on NVIDIA Jetson
Running reasoning and agentic AI at the edge has been harder than it needs to be. Until recently, models capable of multi-step reasoning were too large to run locally on edge hardware.
Building a Memory-Driven Agent with NVIDIA NemoClaw
https://developer.nvidia.com/blog/building-a-memory-driven-agent-with-nvidia-nemoclaw/
https://developer.nvidia.com/blog/building-a-memory-driven-agent-with-nvidia-nemoclaw/
NVIDIA Technical Blog
Building a Memory-Driven Agent with NVIDIA NemoClaw
Enterprise work spans messages, decisions, projects, and obligations that change over time. An AI agent that starts without this context must reconstruct it before contributing. To provide agents with…