Hybrid AI uses scalable, cloud-based GPUs and NVIDIA RTX AI acceleration to efficiently handle AI tasks
AI use is driving app developers to find new product launch methods: Even without the internet, AI working locally on RTX GPUs provides high performance and low latency
A sort of matchmaker, hybrid AI balances NVIDIA DGX Cloud scalability with local PC and workstation compute
NVIDIA GPUs and NVIDIA’s AI stack, which includes TensorRT and TensorRT-LLM, accelerate AI whether it is operating locally or in the NVIDIA DGX Cloud
Developers, gamers, and artists can use hybrid AI processes using a variety of NVIDIA tools and technologies
Besides creating images, iStock's generative AI lets artists experiment with styles and versions, edit specific regions, and enlarge the canvas
With NVIDIA ACE, digital producers and game developers can incorporate cutting-edge generative AI models into digital avatars on RTX AI PCs, opening up new worlds of interactive PC gaming
On RTX GPUs, NVIDIA AI Workbench facilitates the rapid creation, testing, and customisation of pretrained generative AI models and LLMs by developers
Data scientists and developers can utilise pre-built Workbench projects to speed up data science workloads with smooth CPU-to-GPU transitions, fine-tune LLMs, chat with documents via RAG, and more