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NVIDIA Triton Inference Server: Difference between revisions
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(Created page with "NVIDIA Triton Inference Server is an open-source software that standardizes model deployment and execution, providing fast and scalable AI in production environments. As part of the NVIDIA AI platform, Triton enables teams to deploy, run, and scale trained AI models from any framework on GPU- or CPU-based infrastructure, offering high-performance inference across cloud, on-premises, edge, and embedded devices. === Support for Multiple Frameworks === Triton supports...") |
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==Introduction== | |||
NVIDIA Triton Inference Server is an open-source software that standardizes model deployment and execution, providing fast and scalable AI in production environments. As part of the [[NVIDIA AI]] platform, Triton enables teams to deploy, run, and scale trained AI models from any framework on GPU- or CPU-based infrastructure, offering high-performance inference across cloud, on-premises, edge, and embedded devices. | NVIDIA Triton Inference Server is an open-source software that standardizes model deployment and execution, providing fast and scalable AI in production environments. As part of the [[NVIDIA AI]] platform, Triton enables teams to deploy, run, and scale trained AI models from any framework on GPU- or CPU-based infrastructure, offering high-performance inference across cloud, on-premises, edge, and embedded devices. | ||
==Features== | |||
=== Support for Multiple Frameworks === | === Support for Multiple Frameworks === | ||