NVIDIA T4 enterprise GPUs and CUDA-X acceleration libraries supercharge mainstream servers, designed for today’s modern data centers. With NGC-Ready validation, these servers excel across the full range of accelerated workloads. Optional support through NVIDIA NGC Support Services ensures peace of mind. With NVIDIA T4, IT teams can build out standard GPU-accelerated data center infrastructures with the world’s leading servers.
Dramatic Acceleration of Machine Learning
Unmatched AI Acceleration with Turing Tensor Cores
Developers can unleash the power of Turing Tensor Cores directly through NVIDIA CUDA-X AI software libraries and integrations with all AI frameworks. Built on top of CUDA, NVIDIA’s parallel programming model, CUDA-X libraries provide optimizations for the specific computing requirements of artificial intelligence, autonomous machines, high-performance computing, and graphics.
Exceptional VDI Experiences
NVIDIA T4-equipped mainstream servers are certified by our partners for virtual GPU software, ensuring users enjoy high-quality virtual desktop experiences from anywhere, on any device. From knowledge workers and mobile professionals to designers and engineers, T4, when combined with NVIDIA virtual GPU software—NVIDIA GRID® Virtual PC (GRID vPC) and NVIDIA Quadro® Virtual Data Center Workstation (Quadro vDWS)—can accelerate the VDI experience, delivering up to 33 percent better performance than CPU-only VDI environments.
Optimizing software for world-class performance requires a deep understanding of many different software layers, from operating systems and drivers to libraries, frameworks, and applications. NGC containers are pre-built and highly optimized for GPU computing. They bring NVIDIA’s unmatched expertise and ecosystem support for GPU-accelerated deep learning frameworks, RAPIDS software, NVIDIA TensorRT™, and 600+ high-performance computing applications.
NVIDIA’s NGC-Ready program enables all server makers to validate NGC containers on their systems. NGC-Ready servers give data center managers the confidence to deploy GPU-equipped servers, knowing that they can be quickly set up to excel at a wide variety of accelerated applications.