NVIDIA, RTX 50 기반 AI PC용 기초 모델 출시
무슨 발표인가
- GeForce RTX 50 Series 최대 3,352 TFLOPS AI 성능
- 32GB VRAM 탑재
- FP4 연산 지원으로 추론 성능 2배 향상
CES
원문 (영어)
CES— NVIDIA today announced foundation models running locally on NVIDIA RTX AI PCs that supercharge digital humans, content creation, productivity and development. These models — offered as NVIDIA NIM microservices — are accelerated by new GeForce RTX 50 Series GPUs , which feature up to 3,352 trillion operations per second of AI performance and 32GB of VRAM.
Built on the NVIDIA Blackwell architecture, RTX 50 Series are the first consumer GPUs to add support for FP4 compute, boosting AI inference performance by 2x and enabling generative AI models to run locally in a smaller memory footprint, compared with previous-generation hardware.
GeForce has long been a vital platform for AI developers. The first GPU-accelerated deep learning network, AlexNet, was trained on the GeForce GTX 580 in 2012 — and last year, over 30% of published AI research papers cited the use of GeForce RTX. Now, with generative AI and RTX AI PCs, anyone can be a developer.
A new wave of low-code and no-code tools, such as AnythingLLM, ComfyUI, Langflow and LM Studio, enable enthusiasts to use AI models in complex workflows via simple graphical user interfaces. NIM microservices connected to these GUIs will make it effortless to access and deploy the latest generative AI models.
NVIDIA AI Blueprints , built on NIM microservices, provide easy-to-use, preconfigured reference workflows for digital humans, content creation and more. To meet the growing demand from AI developers and enthusiasts, every top PC manufacturer and system builder is launching NIM-ready RTX AI PCs with GeForce RTX 50 Series GPUs.
“AI is advancing at light speed, from perception AI to generative AI and now agentic AI,” said Jensen Huang, founder and CEO of NVIDIA.
원문: NVIDIA News — "NVIDIA Launches AI Foundation Models for RTX AI PCs" (2025-01-07) 공식 원문: https://nvidianews.nvidia.com/news/nvidia-launches-ai-foundation-models-for-rtx-ai-pcs
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