Term of the Moment
airdropped token
Definition: NVIDIA
(NVIDIA Corporation, Santa Clara, CA) The leading designer of graphics processing units (GPUs) for graphics and AI. Founded in 1993 by Jensen Huang, Chris Malachowsky and Curtis Priem, NVIDIA launched its first multimedia processor, the NV1, in 1995. NVIDIA designs its own chips, which are made by TSMC.
NVIDIA and Quantum Computing
Today, AI is helping develop quantum computers become more efficient, and the combination of quantum computers working in tandem with classical computers as well as GPU-based parallel processing is expected to become routine in time. In 2025, NVIDIA announced the building of a quantum computing research center because NVIDIA envisions AI combined with quantum computing as indelibly linked. The quantum facility location is Boston. See quantum computing and CUDA-Q.
GTX and RTX for Graphics
For more than 30 years, graphics has been NVIDIA's main product line. Using its GeForce GPUs, NVIDIA, along with third-party vendors, offer a huge variety of graphics cards under the GTX and RTX brands. Earlier card brands were Quadro and Titan. NVIDIA also designed a system-on-chip (see Tegra). See GeForce.
NVIDIA Took Off in the 21st Century
As AI blasted onto the scene in the early 2020s, NVIDIA took a front-row seat and became one of the most valuable companies in the world. With its mastery of the graphics processing unit (GPU), the next logical step was an AI processor. Sometimes known as a neural processing unit (NPU) and AI accelerator, the AI processor shares a similar architecture to the graphics GPU, namely the parallel processing of massive amounts of mathematical calculations. NVIDIA AI GPUs are designed to support large language models, which are the cornerstone of advanced AI systems (see large language model).
An NVIDIA PC
As strange as it may seem coming from a company that receives multi-million-dollar orders for its products, NVIDIA actually has a desktop PC for AI processing (see DGX Spark). See A100, H100, DGX, Grace Hopper Superchip and Blackwell.
Inside NVIDIA Headquarters
NVIDIA and Quantum Computing
Today, AI is helping develop quantum computers become more efficient, and the combination of quantum computers working in tandem with classical computers as well as GPU-based parallel processing is expected to become routine in time. In 2025, NVIDIA announced the building of a quantum computing research center because NVIDIA envisions AI combined with quantum computing as indelibly linked. The quantum facility location is Boston. See quantum computing and CUDA-Q.
GTX and RTX for Graphics
For more than 30 years, graphics has been NVIDIA's main product line. Using its GeForce GPUs, NVIDIA, along with third-party vendors, offer a huge variety of graphics cards under the GTX and RTX brands. Earlier card brands were Quadro and Titan. NVIDIA also designed a system-on-chip (see Tegra). See GeForce.
NVIDIA Took Off in the 21st Century
As AI blasted onto the scene in the early 2020s, NVIDIA took a front-row seat and became one of the most valuable companies in the world. With its mastery of the graphics processing unit (GPU), the next logical step was an AI processor. Sometimes known as a neural processing unit (NPU) and AI accelerator, the AI processor shares a similar architecture to the graphics GPU, namely the parallel processing of massive amounts of mathematical calculations. NVIDIA AI GPUs are designed to support large language models, which are the cornerstone of advanced AI systems (see large language model).
An NVIDIA PC
As strange as it may seem coming from a company that receives multi-million-dollar orders for its products, NVIDIA actually has a desktop PC for AI processing (see DGX Spark). See A100, H100, DGX, Grace Hopper Superchip and Blackwell.
NVIDIA's home office in Santa Clara, California is about as space age as its products.