Nvidia Ampere Tensor Cores

Built on the nvidia ampere architecture the gpus feature new rt cores tensor cores and cuda cores that accelerate graphics rendering compute and ai significantly faster than previous generations.

Nvidia ampere tensor cores. For programmers accessing tensor cores in any of the volta turing or ampere chips is easy. The ampere architecture provides a significant improvement over turing and comes with 2 nd generation rt cores and 3 rd generation tensor cores. The nvidia a100 tensor core gpu is based on the new nvidia ampere gpu architecture and builds upon the capabilities of the prior nvidia tesla v100 gpu. These new rt and tensor cores deliver about 2x throughput or performance over the previous generation rt tensor cores used in turing architecture.

They support a larger matrix size 8x8x4 compared to 4x4x4 for volta that lets users. Nvidia s a100 tensor core ampere gpu just set over a dozen ai benchmark records for the third time in a row nvidia ran a clean sweep of mlperf s set of ai and machine learning performance. Introducing the nvidia a100 tensor core gpu. The nvidia ampere architecture provides a huge performance boost and delivers new precisions to cover the full spectrum required by researchers tf32 fp64 fp16 int8 and int4 accelerating and simplifying ai adoption and extending the power of nvidia tensor cores to hpc.

The third generation of tensor cores introduced in the nvidia ampere architecture provides a huge performance boost and delivers new precisions to cover the full spectrum required from research to production fp32 tensor float 32 tf32 fp16. The nvidia ampere architecture s cuda cores bring double speed processing for single precision floating point fp32 operations and are up to 2x more power efficient than turing gpus. The third generation tensor cores in the nvidia ampere architecture are beefier than prior versions. The code simply needs to use a flag to tell the api and drivers that you want to use tensor cores the.

It adds many new features and delivers significantly faster performance for hpc ai and data analytics workloads.