Tags: llm* + gpu* + inference*

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  1. Running GenAI models is easy. Scaling them to thousands of users, not so much. This guide details avenues for scaling AI workloads from proofs of concept to production-ready deployments, covering API integration, on-prem deployment considerations, hardware requirements, and tools like vLLM and Nvidia NIMs.
  2. LocalScore is an open benchmark to evaluate local AI task performance across various hardware configurations, measuring Prompt Processing speed, Token Generation speed, Time-to-First-Token (TTFT), and a combined LocalScore.
  3. NVIDIA DGX Spark is a desktop-friendly AI supercomputer powered by the NVIDIA GB10 Grace Blackwell Superchip, delivering 1000 AI TOPS of performance with 128GB of memory. It is designed for prototyping, fine-tuning, and inference of large AI models.

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