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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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News

NVIDIA Technical Blog
developer.nvidia.com > blog > nvidia-bluefield-4-powers-new-scale-in-network-infrastructure-for-agentic-ai-factories

NVIDIA BlueField-4 Powers New Scale-In Network Infrastructure for Agentic AI Factories

2+ week, 5+ day ago   (205+ words) North-south networks provide the access path into and out of a data center, connecting users, applications, data sources, storage systems, and services to individual systems. Traditional cloud data centers built these networks around software-defined infrastructure, composability, and elasticity, so resources…...

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, 5+ 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 > giga-scale-ai-ethernet-evolution-spectrum-x-ethernet-rewrites-rules

Giga-Scale AI and the Ethernet Evolution: How Spectrum-X Ethernet Rewrites the Rules

2+ week, 5+ day ago   (468+ words) The massive growth of generative AI has fundamentally altered data center design. As distributed model training scales to span hundreds of thousands of GPUs, the scale-out network connecting these nodes has emerged as a first-order performance bottleneck. For decades, traditional…...

NVIDIA Technical Blog
developer.nvidia.com > blog > solving-agentic-ai-fleet-challenges-with-nvidia-vera-cpu

Solving Agentic AI Fleet Challenges with NVIDIA Vera CPU

3+ week, 1+ day ago   (289+ words) The shape of an agentic trajectory is defined by its length and width (Figure 2). This is why the relevant optimization target for an agentic CPU fleet is the total number of completed user sessions, not raw core count. High-core-count systems…...

NVIDIA Technical Blog
developer.nvidia.com > blog

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

2+ week, 5+ 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

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

3+ week, 1+ day ago   (651+ words) A frontier language model is only one component of an AI agent. The surrounding agent system—often called a harness—determines how the model receives context…...

NVIDIA Technical Blog
developer.nvidia.com > blog > post-train-nvidia-cosmos-3-edge-for-on-device-robot-control

Post-Train NVIDIA Cosmos 3 Edge for On-Device Robot Control

3+ week, 4+ day ago   (786+ words) Robots need policies that can adapt to their sensors, environments, and tasks while running on onboard computing hardware. World models offer a foundation for learning physical interactions, but their size can make on-device deployment difficult. This changes with the new…...