Nvidia
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Explore more → **Nvidia**
What is Nvidia?
Nvidia is a technology company best known for its graphics processing units (GPUs). These GPUs are widely used in gaming, professional visualization, data centers, and automotive industries. Nvidia also designs system-on-a-chip units (SoCs) for the mobile computing and automotive markets. Their technology is commonly used for accelerating graphics rendering, artificial intelligence, and high-performance computing tasks.
What other technologies are related to Nvidia?
Nvidia Competitor Technologies
AMD
AMD is a major competitor in the GPU and CPU markets, offering alternatives to Nvidia's products.
Intel Xeon
No summary available
Intel Xeon CPUs compete with Nvidia GPUs in certain high-performance computing and server applications, as they can be alternatives for compute-intensive tasks.
AMD EPYC
No summary available
AMD EPYC CPUs compete with Nvidia GPUs in certain high-performance computing and server applications, as they can be alternatives for compute-intensive tasks.
Intel
Intel is a competitor in the CPU and integrated GPU markets, offering alternatives to Nvidia's products, especially in lower-end systems.
Qualcomm
Qualcomm competes with Nvidia in the mobile GPU and AI inference markets with their Adreno GPUs and Snapdragon platforms.
NXP
NXP competes with Nvidia in the automotive and embedded systems markets with their processors and SoCs. However, the competition is not as direct as with AMD or Intel in the GPU space.
TI
Texas Instruments competes with Nvidia in certain embedded and automotive applications.
ROCm
ROCm is AMD's open-source software platform for GPU computing, directly competing with Nvidia's CUDA platform.
Number of organizations that mention technology
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Nvidia Complementary Technologies
Mellanox
Mellanox (now part of Nvidia) provides high-speed networking solutions like InfiniBand, which are used in conjunction with Nvidia GPUs in HPC and data centers.
InfiniBand
InfiniBand is a high-speed interconnect often used with Nvidia GPUs in HPC and data centers to provide fast communication between nodes.
CUDA
CUDA is Nvidia's parallel computing platform and programming model, essential for developing applications that run on Nvidia GPUs.
Number of organizations that mention technology
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Which job functions commonly mention Nvidia?
MLOps Engineer
0.4% of all MLOps Engineer jobs mention Nvidia
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jobs on Sumble
Machine Learning
0.2% of all Machine Learning jobs mention Nvidia
View 180
jobs on Sumble
Embedded Engineer
0.2% of all Embedded Engineer jobs mention Nvidia
View 129
jobs on Sumble
AI Engineer
0.2% of all AI Engineer jobs mention Nvidia
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jobs on Sumble
Engineer
1618 Engineer jobs mention Nvidia
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jobs on Sumble
Which organizations are mentioning Nvidia?
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