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Nvidia Technical Blog

AI Reasoning at Scale Try out DeepSeek-R1’s reasoning capabilities with NVIDIA-hosted APIs or deploy it anywhere with NVIDIA NIM inference microservices. Accelerate Apache Spark ML on NVIDIA GPUs with Zero Code Change How Using a Reranking Microservice Can Improve Accuracy and Costs of Information Retrieval Superchar

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NVIDIA Technical Blog
developer.nvidia.com > blog > how-full-stack-nim-optimizations-deliver-2-5x-more-users-on-nemotron-3-ultra

How Full-Stack NIM Optimizations Deliver 2.5x More Users on Nemotron 3 Ultra

3+ day, 22+ hour ago   (470+ words) How full-stack serving optimizations increase user capacity on a 4xB200 system at a concrete interactivity target Deploying a large language model is only the first step toward production-ready serving. Production teams also need to serve as many concurrent users as possible…...

NVIDIA Technical Blog
developer.nvidia.com > blog > nvidia-vera-rubin-and-blackwell-set-a-new-standard-for-agentic-ai-performance-per-watt

NVIDIA Vera Rubin and Blackwell Set a New Standard for Agentic AI Performance per Watt

2+ week, 6+ day ago   (443+ words) AgentX is the agentic-coding benchmark in InferenceX, SemiAnalysis’s open-source benchmark suite. It measures how efficiently accelerators serve the request patterns produced by real coding agents. Agentic sessions are long, stateful, and variable: they chain model calls, tool use, and growing…...

NVIDIA Technical Blog
developer.nvidia.com > blog

How NVIDIA Groq 3 LPX Unlocks Ultrafast Interactivity at Long Context on NVIDIA Vera Rubin

2+ week, 6+ day ago   (423+ words) NVIDIA Groq 3 LPX is the interactive AI inference accelerator for the NVIDIA Vera Rubin platform. At the core of the platform is NVIDIA Vera Rubin NVL72…...

NVIDIA Technical Blog
developer.nvidia.com > blog > maximizing-ai-factory-performance-per-watt-with-nvidia-dsx-maxlps

Maximizing AI Factory Performance per Watt with NVIDIA DSX MaxLPS

3+ week, 3+ day ago   (1285+ words) AI factories are power-constrained industrial systems. The question is no longer how many GPUs fit in a data center, but how much AI output each available megawatt can deliver. For AI inference workloads, this makes application-level performance per watt the…...

NVIDIA Technical Blog
developer.nvidia.com > blog > nvidia-avo-reaches-100-on-arc-agi-3-demonstrating-a-frontier-level-general-purpose-architecture-for-long-horizon-autonomous-agents

NVIDIA AVO Reaches 100% on ARC-AGI-3, Demonstrating a Frontier-Level General-Purpose Architecture for Long-Horizon Autonomous Agents

3+ week, 3+ day ago   (1011+ words) The research project elevates Claude Opus 5 from a 30% model baseline to 100% as part of the complete AVO agent system, showing that system design—not model capability alone—can unlock frontier-level long-horizon performance This post introduces the AVO architecture and the…...

NVIDIA Technical Blog
developer.nvidia.com > blog > developing-nemotron-3-5-lightning-nvfp4-with-qad-using-nvidia-model-optimizer

Developing Nemotron 3.5 Lightning NVFP4 with QAD Using NVIDIA Model Optimizer

3+ week, 6+ day ago   (1463+ words) Teams customize their models to hit their targets for latency, speed, memory, and compute. With the open NVIDIA Nemotron family of models, developers can find the right-sized model for their needs. The new Nemotron 3.5 Lightning NVFP4 checkpoint, for example, preserves accuracy…...