News

SUZHOU, China, Nov. 20, 2018 (GLOBE NEWSWIRE) -- GTC China -- Adoption of the NVIDIA® T4 Cloud GPU is accelerating, with more tech giants unveiling products and services based on what is already ...
Google has become the first cloud operator to offer access to the Nvidia T4 GPU, two months after it was announced. The T4, a cheaper alternative to the high performance computing (HPC)-focused V100, ...
After two short months of the market, NVIDIA's Turing T4 GPU has become the fastest adopted server GPU of all time. NVIDIA reported that the T4 forms part of 57 new server designs and it has ...
An attractive proposition for commercial enterprises and indie developers looking to build speech recognition and ...
Many wonder how NVIDIA will fare as the inference market eventually overtakes training. Let’s take a look at the implications of Google’s expansion of support for T4 and what that could mean ...
Learn More Nvidia today debuted the Tesla T4 graphics processing unit (GPU) chip to speed up inference from deep learning systems in datacenters. The T4 GPU is packed with 2,560 CUDA cores and ...
Nvidia today announced its new GPU for machine learning and inferencing in the data center. The new Tesla T4 GPUs (where the ‘T’ stands for Nvidia’s new Turing architecture) are the ...
Google on Wednesday announced that Nvidia's Tesla T4 GPUs are now available on the Google Cloud Platform in beta. In November, GCP became the first cloud provider to offer the T4 GPUs via private ...
Nvidia credited record sales of its Tesla V100 training GPUs and T4 inference GPUs for moving its data center business from recovery mode to double-digit growth. The Santa Clara, Calif.- ...
NVIDIA NVDA) recently announced at the 2019 GTC Conference that its Tesla T4 GPUs will be used by Amazon’s AMZN AWS to launch the EC2 G4 instance. The T4-based G4 instances are expected to be ...
“Using hardware compute accelerators such as NVIDIA T4 GPUs and Mellanox’s RDMA networking solutions has proven to boost application performance in virtualized deployments.” ...