NVIDIA is a leader in accelerated computing, specializing in products and platforms for gaming, professional visualization, data centers, and automotive. They also provide AI hardware and software, and are a dominant supplier in the field.
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AI
NVIDIA’s Reported Hugging Face Deal Would Put the AI Model Commons Inside the GPU Stack
NVIDIA's reported $12.9 billion agreement to acquire Hugging Face is not just another AI infrastructure deal. If completed, it would put one of the industry's most important open model hubs inside the company that already defines much of the accelerated computing stack.
AI
NVIDIA Nemotron 3.5 Lightning and NeMo Switchyard Bring Model Routing to Production Agents
NVIDIA's new 30B MoE model and open-source routing library show how to cut agent inference costs by 74% without rewriting applications.
AI
The Open-Source Agent Stack: What Meta, NVIDIA, and vLLM Shipped This Week for Local AI Agents
Muse Glimmer, Nemotron 3.5 Lightning, vLLM 0.27.0 with Kimi K3, and Together AI's ThunderAgent converge into the first coherent open-source stack for local agent fleets.
Agentic AI
Agentic AI Goes Production-Grade: What Google, OpenAI, NVIDIA, Microsoft, and Anthropic Shipped in August 2026
In August 2026, every major AI platform shipped upgrades moving autonomous agents from experimental demos to production-grade infrastructure. Google expanded Gemini Managed Agents with hooks and budget controls, OpenAI expanded its Daybreak cybersecurity program and tested ads in ChatGPT, NVIDIA released Nemotron 3.5 Lightning and NeMo Switchyard for model routing, Microsoft published a no-code agent building guide, and Anthropic redeployed Claude Fable 5 while proposing an industry-wide jailbreak severity framework. Europe also activated continent-wide AI transparency rules.
AI
AI Infrastructure in Flux: How Open-Source Models, NVIDIA Efficiency Push, and OpenAI Price Cuts Are Rewriting Production Economics
Together AI's 00M Series C, NVIDIA's full-stack efficiency push with DFlash and ModelExpress, and OpenAI's 80% price cuts on GPT-5.6 are converging to reshape AI infrastructure. The bottleneck moved from model quality to compute utilization—here's what that means for production teams.
AI
NVIDIA Rubin, Together AI’s $800M Bet, and Hugging Face’s Native vLLM Speed: The Infrastructure Convergence Reshaping AI
This week, NVIDIA unveiled the Rubin GPU architecture purpose-built for agentic AI, Together AI raised $800M to scale open-source inference, and Hugging Face eliminated the vLLM porting bottleneck. Here's what the convergence means for production AI infrastructure.
AI
AI Infrastructure Roundup: Together AI Raises $800M, vLLM Hits Native Speed, and NVIDIA BlueField Targets Agentic Factories
Together AI lands $800M for open-source inference, vLLM's transformers backend achieves native-speed performance without custom code, NVIDIA BlueField re-architects infrastructure for agentic AI, and GPT-5.6 sets a new efficiency bar. The AI infrastructure stack is converging fast.
AI
OpenAI Builds Its Own Chip, NVIDIA Hits 15x Inference Speedup, and an 18-Year-Old Bug Gets Squashed
OpenAI unveils Jalapeño, its first custom AI accelerator. NVIDIA ships DFlash speculative decoding for 15x Blackwell speedups. Plus: vLLM 0.24, Hugging Face one-command inference, and how OpenAI engineers debugged an 18-year-old Linux bug at scale.
AI
NVIDIA DFlash Delivers 15x Inference Gains as AI Infrastructure Races to Power the Agentic Era
From NVIDIA's 15x DFlash inference gains to Hugging Face's agent-optimized CLI and Google's Managed Agents, the AI infrastructure stack is being rebuilt for the agentic era.
AI
NVIDIA Blackwell Sweeps MLPerf Training 6.0 as Open-Source Inference Engines Race to Agentic Readiness
NVIDIA dominates MLPerf Training 6.0 with Blackwell, while vLLM, Ollama, and LiteLLM ship major updates positioning open-source inference for the agentic era.
AI
Agentic AI Infrastructure: How NVIDIA, vLLM, and Hugging Face Are Rebuilding Inference for the Agent Era
From session-aware KV cache orchestration to agent-optimized CLIs, the infrastructure layer is racing to support long-running AI agents. NVIDIA Dynamo 1.0 enters production, vLLM and Ollama ship agent-relevant updates, and Hugging Face rebuilds its CLI for machine consumers.
Agentic AI
Agentic AI Goes On-Device: NVIDIA, Microsoft, and the Local Agent Revolution
In June 2026, NVIDIA, Microsoft, H Company, and OpenClaw announced a coordinated shift toward local, sandboxed, on-device agentic AI—complete with new hardware, OS-level security primitives, quantized models, and self-evolving agents that persist across deployments.
AI
The New AI Infrastructure Stack: How vLLM, NVIDIA Dynamo, and Llama 4 Are Reshaping Production AI in 2026
From 30x throughput gains with NVIDIA Dynamo to trillion-parameter Llama 4 models running on single GPUs, discover the infrastructure innovations defining AI production in 2025.
AI
NVIDIA’s NeMo Retriever result says retrieval is becoming workflow engineering, not just embeddings
NVIDIA’s leaderboard-topping NeMo Retriever pipeline is notable not because “agentic retrieval” sounds fashionable, but because the engineering choices are unusually revealing. The interesting story is the tradeoff between generalization, latency, and architecture complexity once retrieval becomes an iterative workflow instead of a one-shot vector lookup.
AI
NVIDIA GTC 2026: Featured Speakers, Registration Links, and Why to Attend
NVIDIA GTC 2026 (March 16–19, San Jose) is shaping up to be a full‑stack AI and accelerated computing week—from Jensen Huang’s keynote to hands‑on training, agentic AI sessions, and deep dives into inference, CUDA, and robotics. Here’s what to expect, who’s featured, and how to register.
AI
vLLM on NVIDIA Blackwell (GB200): why WideEP + disaggregated prefill/decode is the new serving baseline
The vLLM team details GB200 optimizations pushing DeepSeek-style MoE throughput. The bigger story: disaggregated serving and precision-aware kernels are becoming table stakes.
