GPUComputing
GPU computing is the use of a graphics processing unit's highly parallel architecture to accelerate general-purpose computation, not just rendering graphics, by running the same operation across thousands of data elements simultaneously.
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Glossary Terms(8)
NVIDIA NIM
NVIDIA NIM (NVIDIA Inference Microservices) is a set of optimized, containerized microservices for deploying pretrained AI models — including LLMs and other fo…
Sparse Mixture Model
A sparse mixture model is a neural network design in which only a small subset of the model's parameters are activated for any given input, rather than the ent…
FPGA
A field-programmable gate array (FPGA) is an integrated circuit containing a grid of configurable logic blocks and interconnects that can be reprogrammed after…
ASIC
An application-specific integrated circuit (ASIC) is a chip custom-designed and fabricated to perform one particular function, trading the flexibility of gener…
GPU Computing
GPU computing is the use of a graphics processing unit's highly parallel architecture to accelerate general-purpose computation, not just rendering graphics, b…
CUDA
CUDA (Compute Unified Device Architecture) is NVIDIA's parallel computing platform and programming model that lets developers write software running directly o…
Parallel Computing
Parallel computing is a model of computation in which multiple calculations or processes are carried out simultaneously, splitting a larger problem into smalle…
High-Performance Computing (HPC)
High-Performance Computing (HPC) refers to the use of aggregated computing power — typically supercomputers or clusters of tightly interconnected servers — to…