Short description: Brand name by AMD; professional GPUs for high-performance-computing, machine learning
AMD Instinct
Release date
June 20, 2017; 7 years ago (2017-06-20)
Architecture
CDNA
Models
MI Series
History
Predecessor
AMD FirePro
Radeon Sky series
Variant
AMD Radeon Instinct
AMD Instinct is AMD's brand of professional GPUs.[1][2] It replaced AMD's FirePro S brand in 2016. Compared to the Radeon brand of mainstream consumer/gamer products, the Instinct product line is intended to accelerate deep learning, artificial neural network, and high-performance computing/GPGPU applications.
The Radeon Instinct product line directly competes with Nvidia's Ampere and Intel Xeon Phi and incoming Intel Xe lines of machine learning and GPGPU cards.
Before MI100 introduction in November 2020, the Instinct family was known as AMD Radeon Instinct, AMD dropped the Radeon brand from its name.
Supercomputers based on (AMD CPUs and) AMD Instinct GPUs now take the lead on the Green500 supercomputer list with over 50% lead over any other, and top the first 4 spots, including the second, which is the current fastest in the world on the TOP500 list, Frontier.
Contents
1Products
1.1MI6
1.2MI8
1.3MI25
2Software
2.1ROCm
2.1.1MxGPU
2.1.2MIOpen
3Chipset table
4See also
5References
6External links
Products
The three initial Radeon Instinct products were announced on December 12, 2016 and released on June 20, 2017, with each based on a different architecture.[3][4]
MI6
The MI6 is a passively cooled, Polaris 10 based card with 16 GB of GDDR5 memory and with a <150 W TDP.[1][2] At 5.7 TFLOPS (FP16 and FP32), the MI6 is expected to be used primarily for inference, rather than neural network training. The MI6 has a peak double precision (FP64) compute performance of 358 GFLOPS.[5]
MI8
The MI8 is a Fiji based card, analogous to the R9 Nano, and expected to have a <175W TDP.[1] The MI8 has 4 GB of High Bandwidth Memory. At 8.2 TFLOPS (FP16 and FP32), the MI8 is marked toward inference. The MI8 has a peak (FP64) double precision compute performance 512 GFLOPS.[6]
MI25
The MI25 is a Vega based card, utilizing HBM2 memory. The MI25 performance is expected to be 12.3 TFLOPS using FP32 numbers. In contrast to the MI6 and MI8, the MI25 is able to increase performance when using lower precision numbers, and accordingly is expected to reach 24.6 TFLOPS when using FP16 numbers. The MI25 is rated at <300W TDP with passive cooling. The MI25 also provides 768 GFLOPS peak double precision (FP64) at 1/16th rate.[7]
Software
Main page: Software:ROCm
ROCm
Following software is, as of 2022, regrouped under the Radeon Open Compute meta-project.
MxGPU
The MI6, MI8, and MI25 products all support AMD's MxGPU virtualization technology, enabling sharing of GPU resources across multiple users.[1][8]
MIOpen
MIOpen is AMD's deep learning library to enable GPU acceleration of deep learning.[1] Much of this extends the GPUOpen's Boltzmann Initiative software.[8] This is intended to compete with the deep learning portions of Nvidia's CUDA library. It supports the deep learning frameworks: Theano, Caffe, TensorFlow, MXNet, The Microsoft Cognitive Toolkit, Torch, and Chainer. Programming is supported in OpenCL and Python, in addition to supporting the compilation of CUDA through AMD's Heterogeneous-compute Interface for Portability and Heterogeneous Compute Compiler.
Xeon Phi - Intel's competing massively-parallel multicore processor line
List of AMD graphics processing units
References
↑ 1.01.11.21.31.41.51.61.7Smith, Ryan (12 December 2016). "AMD Announces Radeon Instinct: GPU Accelerators for Deep Learning, Coming in 2017". Anandtech. http://www.anandtech.com/show/10905/amd-announces-radeon-instinct-deep-learning-2017.Cite error: Invalid <ref> tag; name "anand" defined multiple times with different content
↑ 2.02.1Shrout, Ryan (12 December 2016). "Radeon Instinct Machine Learning GPUs include Vega, Preview Performance". PC Per. https://www.pcper.com/reviews/Graphics-Cards/Radeon-Instinct-Machine-Learning-GPUs-include-Vega-Preview-Performance.
↑WhyCry (December 12, 2016). "AMD announces first VEGA accelerator:RADEON INSTINCT MI25 for deep-learning". https://videocardz.com/64677/amd-announces-first-vega-accelerator-radeon-instinct-mi25-for-deep-learning.
↑Mujtaba, Hassan (June 21, 2017). "AMD Radeon Instinct MI25 Accelerator With 16 GB HBM2 Specifications Detailed – Launches Today Along With Instinct MI8 and Instinct MI6". https://wccftech.com/amd-radeon-instinct-mi25-mi8-mi6-graphics-accelerators/.
↑ 8.08.1Kampman, Jeff (12 December 2016). "AMD opens up machine learning with Radeon Instinct". TechReport. https://techreport.com/review/31093/amd-opens-up-machine-learning-with-radeon-instinct.
↑ 9.09.19.2Shrout, Ryan (12 December 2016). "Radeon Instinct Machine Learning GPUs include Vega, Preview Performance". PC Per. https://www.pcper.com/reviews/Graphics-Cards/Radeon-Instinct-Machine-Learning-GPUs-include-Vega-Preview-Performance. Retrieved 12 December 2016.
↑ 10.010.110.2Kampman, Jeff (12 December 2016). "AMD opens up machine learning with Radeon Instinct". TechReport. https://techreport.com/review/31093/amd-opens-up-machine-learning-with-radeon-instinct. Retrieved 12 December 2016.
↑"Radeon Instinct MI6". AMD. http://instinct.radeon.com/product/mi/radeon-instinct-mi6/. Retrieved 22 June 2017.
↑Smith, Ryan (5 January 2017). "The AMD Vega Architecture Teaser: Higher IPC, Tiling, & More, coming in H1'2017". Anandtech.com. http://www.anandtech.com/show/11002/the-amd-vega-gpu-architecture-teaser. Retrieved 10 January 2017.
↑"Radeon Instinct MI25". AMD. http://instinct.radeon.com/product/mi/radeon-instinct-mi25/. Retrieved 22 June 2017.