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AI Reasoning at Scale Try out DeepSeek-R1âs 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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How to Size GPUs for AI Inference and TCO Without Overspending
1+ week, 6+ day ago (571+ words) Cutting through the noise starts with one deceptively simple question: What problem are you solving? Different use cases map to wildly different infrastructure footprints. At a high level, most inference workloads fall into one of these four buckets: After mapping…...
CUDA Python 1.0: Stable APIs, One Foundation, Full Platform Access
2+ week, 6+ day ago (1398+ words) For years, a Python developer who needed a GPU had two realistic choices: Learn NVIDIA CUDA C++ well enough to write an extension, set up a build toolchain, and maintain bindings back to Python, which most people never did; or…...
NVIDIA BlueField-4 Powers New Scale-In Network Infrastructure for Agentic AI Factories
2+ week, 6+ 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…...