T4 introduces the revolutionary Turing Tensor Core technology with multi-precision computing to handle diverse workloads. Powering extraordinary performance from FP32 to FP16 to INT8, as well as INT4 precisions, T4 delivers up to 40X higher performance than CPUs.

Sep 13, 2018 · The Tesla T4 is a professional graphics card by NVIDIA, launched on September 13th, 2018. Built on the 12 nm process, and based on the TU104 graphics processor, in its TU104-895-A1 variant, the card supports DirectX 12 Ultimate.

Nvidia Tesla is the former name for a line of products developed by Nvidia targeted at stream processing or general-purpose graphics processing units (GPGPU), named after pioneering electrical engineer Nikola Tesla.

Its low-profile, 70-watt (W) design is powered by NVIDIA TuringTM Tensor Cores, delivering revolutionary multi-precision performance to accelerate a wide range of modern applications, including machine learning, deep learning, and virtual desktops.

Mar 18, 2019 · Specifically, we study the T4 GPU: a low-power board aiming at inference applications. We describe its improvements against its inference-oriented predecessor: the P4 GPU based on the Pascal architecture. Both T4 and P4 GPUs achieve significantly higher frequency-per-Watt figures than their full-size counterparts.

This datasheet details the performance and product specifications of the NVIDIA T4 Tensor Core GPU.

The NVIDIA T4 GPU is among the world’s most powerful universal inference accelerators. Powered by NVIDIA Turing Tensor Cores, T4 provides revolutionary multi-precision inference performance to accelerate the diverse applications of modern AI.

Oct 2, 2019 · Our first compute benchmark we see the NVIDIA Tesla T4 achieves results between the ASUS Turbo GeForce RTX 2060 Blower and the EVGA GeForce GTX 1660 Ti XC Black. With CUDA support, it out-performs the higher-power AMD offerings.

Apr 29, 2019 · Google Cloud today announced the general availability of the NVIDIA T4 GPU, making Google Cloud the first provider to offer the GPUs globally. The NVIDIA T4 GPUs are ideal for machine learning training and inference, high performance computing, data analytics, and graphics applications.

The NVIDIA T4 data center GPU is the ideal universal accelerator for distributed computing environments. Revolutionary multi-precision performance accelerates deep learning and machine learning training and inference, video transcoding, and virtual desktops. T4 supports all AI frameworks and network types, deliver-