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AMD unveils powerful Instinct MI100 compute accelerator based on CDNA architecture. NVIDIA responded with updated A100
sixteen.eleven.2021 [17:00],
Nikolay Khizhnyak

AMD and NVIDIA today unveil new AI graphics solutions for high performance computing. And if in the case of NVIDIA we are talking about updating the already existing accelerator A100, which has increased the amount of memory and its bandwidth, then AMD presented a completely new solution in the form of the Instinct MI100 accelerator based on the new CDNA architecture.

Image source: NVIDIA

The new version of the graphics accelerator NVIDIA A100, like the original, is based on the Ampere architecture. The novelty is distinguished from the previous version by the increased from 40 to 80 GB the amount of HBM2e memory, as well as the bandwidth increased from 1,555 to 2 TB / s. The rest of the characteristics of both versions of the accelerator are the same.

Image source: NVIDIA

Image source: NVIDIA

At the moment, the new version of A100 is presented only in the SXM3 form factor, therefore it is intended for use as part of its own computing platform NVIDIA DGX, as well as as part of HGX platforms from partners. The latter will present at the beginning of next year special kits for integrating the new version of the A100 into their existing solutions, including options that support the installation of 4 and 8 accelerators.

Image source: AMD

The novelty from NVIDA will have to compete against a completely new solution from AMD – the Instinct MI100 computational graphics accelerator, built on the 7nm CDNA architecture. Unlike RDNA architecture, which is used in gaming and professional solutions aimed at working with rendering, the main profile of CDNA is high performance computing and working with artificial intelligence algorithms.

Image source: AMD

AMD Instinct MI100 is designed to work with PCIe 4 interface.0 x16 (64 GB / s). GPU Instinct MI100 uses 120 Compute Units, which contain new blocks for matrix operations used in computing acceleration tasks related to AI algorithms. According to AMD, the new blocks do not work at the expense of classic computing. For example, the peak performance in FP64 applications is 11.5 teraflops, and for FP32 it is exactly twice as much – 23 teraflops, which is higher than the performance declared for NVIDIA A100.

Image source: AMD

However, in the same bfloat16 calculations, AMD’s Instinct MI100 loses to its competitor – 92.3 teraflops versus 312 teraflops. For the sake of fairness, it should be noted that here we are talking about a comparison with the SXM version of the NVIDIA A100 accelerator. PCIe-version of the accelerator from NVIDIA, due to lower power consumption in real tasks, may be somewhat slower. In turn, Instinct MI100 is currently presented only in the form factor of a full-size PCIe card with a consumption level of 300 W.

AMD Instinct MI100 features 32GB HBM2 memory with 1.23TB / s bandwidth. For comparison, the original version of NVIDIA A100 has 40 GB of HBM2e memory on board with a bandwidth of 1.555 TB / s. With three Infinity Fabric (IF) interfaces of 92 GB / s (276 GB / s total), up to four Instinct MI100 accelerators can be chained in a one-to-one manner. At the same time, the bandwidth level does not depend on which interfaces (PCIe 3.0 or 4.0) Instinct MI100 kit connected. The same PCIe version of NVIDIA A100 has only one NVLink interface, allowing only two cards to be combined. However, the bandwidth is higher and amounts to 600 GB / s.

AMD says its new solution is 1.8-2.1x more attractive in terms of performance per dollar than NVIDIA’s A100.

Image source: AMD

Dell PowerEdge R7525, Gigabyte G482-Z54, HPE Apollo 6500 Gen10 Plus and Supermicro AS-4124GS-TNR will be the first systems to receive the new AMD Instinct MI100 compute graphics accelerators. It is noted that some of the company’s partners have already received new accelerators, as well as systems based on them for evaluating performance and adapting software.

For more information about the announcements of the computational graphics accelerators NVIDIA A100 and AMD Instinct MI100, please visit our subsidiary ServerNews.

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