NVIDIA T4 is being used to accelerate AI inference ... offering 8.1 TFLOPS at FP32, 65 TFLOPS at FP16 as well as 130 TOPS of INT8 and 260 TOPS of INT4. For AI inference workloads, a server with ...

Specs on the new T4 are impressive ... The older P4, in contrast, offers 5.5TFLOPS of FP16 and 22 TFLOPS of INT8. Nvidia says there are optimizations for AI video applications as well and a ...

"The T4’s 65 TFLOPS of hybrid FP32/FP16 ML training performance and 16GB of GPU memory ... in 30 days from production it was deployed at scale on the cloud," Nvidia CEO Jensen Huang said at SC18.

Nvidia's latest Tesla T4 GPU will help bring down costs of services ... abilities on a small PCIe form factor requiring only 75W. FP16 performance peaks at 65 teraflops, INT8 operations reach ...

Starting today, NVIDIA T4 GPU instances are available in the U.S. and Europe as ... Its high-performance characteristics for FP16, INT8, and INT4 allow you to run high-scale inference with flexible ...

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 ...

Nvidia launched a new device for inference workloads - the Tesla T4. Featuring 320 Turing Tensor Cores and 2,560 CUDA cores, the company claims the 75 watt card offers 65 teraflops of peak performance ...

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 ...

Nvidia’s T4 GPUs delivered up to 40 times more performance ... By using automatic mixed precision, FP16 can be utilized for an additional 2X performance. Nvidia calls this the sparsity feature ...

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 ...