Radeon Instinct

Last updated
AMD Radeon Instinct
AMD Radeon Instinct wordmark.svg
Design firm Advanced Micro Devices
Introduced2016
TypeServers

AMD Radeon Instinct is AMD's brand of deep learning oriented GPUs. [1] [2] It replaced AMD's FirePro S brand in 2016. Compared to the Radeon brand of mainstream consumer/gamer products, the Radeon Instinct branded products are intended to accelerate deep learning, artificial neural network, and high-performance computing/GPGPU applications.

Contents

The Radeon Instinct product line directly competes with Nvidia's Tesla and Intel Xeon Phi lines of deep learning and GPGPU cards.

Since MI100 introduction in November 2020, the Radeon Instinct family is known as AMD Instinct, dropping Radeon brand from its name.

Products

See also: List of AMD graphics processing units.

The three initial Radeon Instinct products were announced in December 2016, with each based on a different architecture.

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. [3]

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. [4]

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. [5]

Software

MxGPU

The MI6, MI8, and MI25 products all support AMD's MxGPU virtualization technology, enabling sharing of GPU resources across multiple users. [1] [6]

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. [6] 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.

Chipset table

Model
(codename)		Release date Architecture
&  Fab 		Transistors
& Die Size		Core Fillrate [lower-alpha 1] [lower-alpha 2] [lower-alpha 3] Processing power [lower-alpha 1] [lower-alpha 4]
(GFLOPS)		MemoryTBPBus
interface
Config [lower-alpha 5] Clock [lower-alpha 1] (MHz)Texture
(GT/s)		Pixel
(GP/s)		 Half Single Double Bus type
& width		Size
(GiB)		Clock
(MT/s)		Bandwidth
(GB/s)
Radeon Instinct MI6
(Polaris 10) [1] [7] [8] [9] [10] 		December 2016 GCN 4th gen
14 nm		5.7×109
232 mm2		2304:144:32
36 CU		1120
1233		177.639.4658005800358GDDR5
256-bit		167000224150 W PCIe 3.0 x16
Radeon Instinct MI8
(Fiji XT) [1] [7] [8] [11] [12] 		GCN 3rd gen
28 nm		8.9×109
596 mm2		4096:256:64
64 CU		1000256.064.082008200512HBM
4096-bit		41000512175 W
Radeon Instinct MI25
(Vega 10 XT) [1] [7] [8] [13] [14] [15] 		GCN 5th gen
14 nm		12.5×109
510 mm2		4096:256:64
64 CU		1400
1500		38496.02460012300768HBM2
2048-bit		161704436.2300 W
Radeon Instinct MI50
(Vega 20 GL) [16] [17] [18] [19] 		November 2018 GCN 5th gen
7 nm		13.2×109
331 mm2		3840:240:-
60 CU		1450
1725		348
414		-26500133006600HBM2
4096-bit		16 or 32 [20] 20001024 PCIe 4.0 x16
Radeon Instinct MI60
(Vega 20 GL) [16] [21] [22] 		4096:256:-
64 CU		1500
1800		384
460.8		-29450147257362.5321024
AMD Instinct MI100
(MI100 XL) [23] 		November 12, 2020CDNA 1.0
7 nm		 ?
750 mm2		7680:480:-
120 CU		1000
1502		480
720		-184600231001150024001228.8
AMD Instinct MI210
(?) [24] 		December, 2021CDNA 2.0
6 nm		58 x 109
? mm2		6656:416:-
104 CU		1000
1700		 ?
?		-1810002263022630HBM2e
4096-bit		6416001638300 W
AMD Instinct MI250
(?) [25] 		November 8, 202113312:832:-
208 CU		1000
1700		 ?
?		-3621004530045300HBM2e
8192-bit		1283276.8500 W
560 W (Peak)
AMD Instinct MI250X
(?) [26] 		14080:880:-
220 CU		1000
1700		 ?
?		-3830004790047900
  1. 1 2 3 Boost values (if available) are stated below the base value in italic.
  2. ↑ Texture fillrate is calculated as the number of texture mapping units multiplied by the base (or boost) core clock speed.
  3. ↑ Pixel fillrate is calculated as the number of render output units multiplied by the base (or boost) core clock speed.
  4. ↑ Precision performance is calculated from the base (or boost) core clock speed based on a FMA operation.
  5. ↑ Unified Shaders  : Texture Mapping Units  : Render Output Units and Compute Units (CU)

See also

Related Research Articles

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Graphics processing unit Specialized electronic circuit; graphics accelerator

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References

  1. 1 2 3 4 5 6 7 8 Smith, Ryan (12 December 2016). "AMD Announces Radeon Instinct: GPU Accelerators for Deep Learning, Coming in 2017". Anandtech. Retrieved 12 December 2016.
  2. 1 2 Shrout, Ryan (12 December 2016). "Radeon Instinct Machine Learning GPUs include Vega, Preview Performance". PC Per. Retrieved 12 December 2016.
  3. ↑ "Radeon Instinct MI6". Radeon Instinct. AMD. Retrieved 22 June 2017.
  4. ↑ "Radeon Instinct MI8". Radeon Instinct. AMD. Retrieved 22 June 2017.
  5. ↑ "Radeon Instinct MI25". Radeon Instinct. AMD. Retrieved 22 June 2017.
  6. 1 2 Kampman, Jeff (12 December 2016). "AMD opens up machine learning with Radeon Instinct". TechReport. Retrieved 12 December 2016.
  7. 1 2 3 Shrout, Ryan (12 December 2016). "Radeon Instinct Machine Learning GPUs include Vega, Preview Performance". PC Per. Retrieved 12 December 2016.
  8. 1 2 3 Kampman, Jeff (12 December 2016). "AMD opens up machine learning with Radeon Instinct". TechReport. Retrieved 12 December 2016.
  9. ↑ "Radeon Instinct MI6". Radeon Instinct. AMD. Retrieved 22 June 2017.
  10. ↑ "AMD Radeon Instinct MI6 Specs". TechPowerUp.
  11. ↑ "Radeon Instinct MI8". Radeon Instinct. AMD. Retrieved 22 June 2017.
  12. ↑ "AMD Radeon Instinct MI8 Specs". TechPowerUp.
  13. ↑ Smith, Ryan (5 January 2017). "The AMD Vega Architecture Teaser: Higher IPC, Tiling, & More, coming in H1'2017". Anandtech.com. Retrieved 10 January 2017.
  14. ↑ "Radeon Instinct MI25". Radeon Instinct. AMD. Retrieved 22 June 2017.
  15. ↑ "AMD Radeon Instinct MI25 Specs". TechPowerUp.
  16. 1 2 "Next Horizon – David Wang Presentation" (PDF). AMD. AMD.
  17. ↑ "Radeon Instinct MI50". AMD. AMD.
  18. ↑ "Radeon Instinct MI50 Datasheet" (PDF). AMD. AMD.
  19. ↑ "Hands on with the AMD Radeon VII". PC Gamer. Jarred Walton.
  20. ↑ "AMD Radeon Instinct™ MI50 Accelerator (32GB)".
  21. ↑ "Radeon Instinct MI60". AMD. AMD.
  22. ↑ "Radeon Instinct MI60 Datasheet" (PDF). AMD. AMD.
  23. ↑ "Radeon Instinct MI100". AMD. AMD.
  24. ↑ "MI210 Accelerator". AMD Radeon Instinct MI210. TechPowerUp.
  25. ↑ "MI200 Series Accelerator" (PDF). AMD. AMD.
  26. ↑ "MI200 Series Accelerator" (PDF). AMD. AMD.
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