Nvidia makes graphics processing units, which are computer chips that handle many tasks simultaneously. Hence the term parallel computing. The chips that most people know are central processing units.

The graphics processing unit (GPU) did not begin as a pillar of supercomputing or the engine behind artificial‑intelligence ...

GPUs are playing an increasingly pivotal role in modern computing — and likely will continue to for the foreseeable future — as enterprises use HPC, ML, AI and edge environments to stay ...

Just because it's already the biggest company in the world by market cap doesn't mean the GPU leader doesn't have a lot of ...

Graphics Processing Units (GPUs) are now pivotal in high-performance computing, offering substantial computational throughput through inherently parallel architectures. Modern research in GPU ...

NVIDIA describes CUDA as a parallel computing platform and application programming interface (API) that allows the software to use specific GPUs for general-purpose processing.

CUDA: A parallel computing platform and application programming interface model created by NVIDIA that enables dramatic increases in computing performance by harnessing the power of the GPU.

GPU computing has vast parallel processing power, making its role in the blockchain space highly significant. GPUs are used for complex off-chain computations, reducing workload and fees.