NVIDIA Vera Rubin 플랫폼이 에이전틱 AI의 스케일업 과제를 해결하는 방식
…Vera Rubin NVL72는 랙당 최대 3,600 PFLOPS의 NVFP4 컴퓨트, 20.7 TB HBM4, 1.6 PB/s의 메모리 대역폭을 제공하며 프리필, 롱 컨텍스트 디코드 어텐션, 고동시성 서빙을 담당합니다. 지연 예산이 더욱…
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NVIDIA Dynamo
…This is enabled by deep co-design across NVIDIA Blackwell, NVLink™, and NVLink Switch for scale-out; NVFP4 for low-precision accuracy; and NVIDIA Dynamo and TensorRT™ LLM for speed and flexibility…
How the NVIDIA Vera Rubin Platform is Solving Agentic AI’s Scale-Up Problem | NVIDIA Technical Blog
…Vera Rubin NVL72 delivers up to 3,600 PFLOPS of NVFP4 compute, 20.7 TB of HBM4, and 1.6 PB/s of memory bandwidth per rack, handling prefill, long-context decode…
Run Local AI Agents with Faster Models and Multi-Node Clustering on NVIDIA DGX Spark | NVIDIA Technical Blog
…DGX Spark agents using Qwen3.6-35B Developers can experience up to 2.6x faster inference with top agentic models like Qwen 3.6 35B on vLLM with NVIDIA’s NVFP4 quantized…
NVIDIA Nemotron AI Models
…Native NVFP4 training, multi‑environment RL alignment, and fully open weights, datasets, recipes, and deployment cookbooks help developers quickly build and deploy customized agentic workflows. Starter Kits Start solving AI challenges by…
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