MojoKid writes: NVIDIA CEO Jensen Huang unveiled the company’s new Ampere A100 GPU architecture for machine learning and HPC markets today. Jensen claims the 54B transistor A100 is the biggest, most powerful GPU NVIDIA has ever made, and it’s also the largest chip ever produced on 7nm semiconductor process. There are a total of 6,912 FP32 CUDA cores, 432 Tensor cores, and 108 SMs (Streaming Multiprocessors) in the A100, paired to 40GB of HBM2e memory with maximum memory bandwidth of 1.6TB/sec. FP32 compute comes in at a staggering 19.5 TLFLOPs, compared to 16.4 TFLOPs for NVIDIA’s previous gen Tesla V100. In addition, its Tensor Cores employ FP32 precision that allows for a 20x uplift in AI performance gen-over-gen. When it comes to FP64 performance, these Tensor Cores also provide a 2.5x performance boost, versus its predecessor, Volta. Additional features include Multi-Instance GPU, aka MIG, which allows an A100 GPU to be sliced up into up to seven discrete instances, so it can be provisioned for multiple discrete specialized workloads. Mulitple A100 GPUs will also make their way into NVIDIA’s third-generation DGX AI supercomputer that packs a whopping 5 PFLOPs of AI performance. According to NVIDIA, its Ampere-based A100 GPU and DGX AI systems are already in full production and shipping to customers now. Gamers are of course looking forward to what the company has in store with Ampere for the enthusiast PC market, as expectations for its rumored GeForce RTX 30 family are incredibly high.
of this story at Slashdot.
Source:: Slashdot