GPUsAI AcceleratorsHPC & AI SystemsCPUs & RISC-VInterconnect & Networking · NVDA
NVIDIA
Santa Clara, CA, United States
About NVIDIA
NVIDIA designs GPUs, CPUs, DPUs and networking products such as NVLink, InfiniBand and Ethernet, and develops the CUDA software platform that runs on its GPUs. Its Data Center products are widely used for AI training and inference, and it also sells GeForce graphics cards for gaming and RTX workstation GPUs. NVIDIA is fabless. Foundries such as TSMC make its wafers, memory comes from suppliers including SK hynix, Micron and Samsung, and partners handle assembly and packaging. The company was incorporated in 1993 and is based in Santa Clara, California.
NVIDIA was founded in 1993 and is based in Santa Clara, CA, United States. It is listed under GPUs, AI Accelerators, HPC & AI Systems, CPUs & RISC-V, Interconnect & Networking. Its shares trade as NVDA on NASDAQ.
Compute Technologies
- GPUs
- AI Accelerators
What NVIDIA works on
GPUs
A GPU, or graphics processing unit, is a chip with thousands of small cores that can run the same operation on a lot of data at the same time. It was first built to draw images in games. The same design suits any job that applies simple maths to large arrays of numbers.
AI Accelerators
An AI accelerator is a chip, or a part of a chip, designed to run machine learning faster or with less energy than a general-purpose processor. The category includes GPUs, TPUs, neural processing units (NPUs) and chips from many startups.
HPC & AI Systems
High-performance computing (HPC) means using very large clusters of processors working together to solve problems that one machine cannot handle in a reasonable time. These clusters are called supercomputers. They run weather models, physics simulations and, increasingly, AI training.
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