AMD Instinct MI200 CDNA 2 MCM GPU Is A Beast: 1.7 GHz Clocks, 47.9 TFLOPs FP64 & Over 4X Increase In FP64/BF16 Performance Over MI100

Oct 23, 2021 at 10:09am EDT
AMD Instinct MI200 CNDA 2 MCM GPU Is A Beast: 1.7 GHz Clocks, 47.9 TFLOPs FP64 & a 4X Increase In FP16 Performance Over MI100

AMD's flagship Instinct MI200 is on the verge of launch and it will be the first GPU for the HPC segment to feature an MCM design based on the CDNA 2 architecture. It looks like the GPU will offer some insane performance numbers compared to the existing Instinct MI100 GPU with a 4x increase in FP16 compute.

AMD Instinct MI200 With CDNA 2 MCM GPU Design Heading To HPC Soon, Features Monstrous Performance Numbers & A 4x Compute Increase Over Instinct MI100

Update: ExecutableFix has posted more information and it looks like the Instinct MI200 lineup will include two variants, a standard MI250, and a MI250X. According to the details, the MI250X will get 110 CUs per die (220 CUs in total), 128 GB HBM2e memory, a 500W TDP and will be based on 7nm.

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We have got to learn the specifications of the Instinct MI200 accelerator over time but its overall performance figures have remained a mystery until now. Twitter insider and leaker, ExecutableFix, has shared the first performance metrics for AMD's CDNA 2 based MCM GPU accelerator and it's a beast.

According to tweets by ExecutableFix, the AMD Instinct MI200 will be rocking a clock speed of up to 1.7 GHz which is a 13% increase over the Instinct MI100. The CDNA 2 powered MCM GPU also rocks almost twice the number of stream processors at 14,080 cores, packed within 220 Compute Units. While it was expected that the GPU would rock 240 Compute units with 15,360 cores, the config is replaced by a cut-down variant due to yields. With that said, it is possible that we may see the full SKU launch in the future, offering even higher performance.

In terms of performance, the AMD Instinct MI200 HPC Accelerator is going to offer almost 50 TFLOPs (47.9) TFLOPs of FP64 & FP32 compute horsepower. Versus the Instinct MI100, this is a 4.16x increase in the FP64 segement. In fact, the FP64 numbers of the MI200 exceed the FP32 performance of its predecessor. Moving over to the FP16 and BF16 numbers, we are looking at an insane 383 TFLOPs of performance. For perspective, the MI100 only offers 92.3 TFLOPs of peak BFloat16 performance and 184.6 TFLOPs peak FP16 performance.

As per HPCWire, the AMD Instinct MI200 will be powering three top-tier supercomputers which include the United States’ exascale Frontier system; the European Union’s pre-exascale LUMI system; and Australia’s petascale Setonix system. The competition includes the A100 80 GB which offers 19.5 TFLOPs of FP64, 156 TFLOPs of FP32 and 312 TFLOPs of FP16 compute power. But we are likely to hear about NVIDIA's own Hopper MCM GPU next year so there's going to be a heated competition between the two GPU juggernauts in 2022.

Here's What To Expect From AMD Instinct MI200 'CDNA 2' GPU Accelerator

Inside the AMD Instinct MI200 is an Aldebaran GPU featuring two dies, a secondary and a primary. It has two dies with each consisting of 8 shader engines for a total of 16 SE's. Each Shader Engine packs 16 CUs with full-rate FP64, packed FP32 & a 2nd Generation Matrix Engine for FP16 & BF16 operations. Each die, as such, is composed of 128 compute units or 8192 stream processors. This rounds up to a total of 220 compute units or 14,080 stream processors for the entire chip. The Aldebaran GPU is also powered by a new XGMI interconnect. Each chiplet features a VCN 2.6 engine and the main IO controller.

The block diagram of AMD's CDNA 2 powered Aldebaran GPU which will power the Instinct MI200 HPC accelerator has been visualized. (Image Credits: Locuza)

As for  DRAM, AMD has gone with an 8-channel interface consisting of 1024-bit interfaces for an 8192-bit wide bus interface. Each interface can support 2GB HBM2e DRAM modules. This should give us up to 16 GB of HBM2e memory capacity per stack and since there are eight stacks in total, the total amount of capacity would be a whopping 128 GB. That's 48 GB more than the A100 which houses 80 GB HBM2e memory. The full visualization of the Aldebaran GPU on the Instinct MI200 is available here.

AMD Radeon Instinct Accelerators

Accelerator NameAMD Instinct MI400AMD Instinct MI350XAMD Instinct MI300XAMD Instinct MI300AAMD Instinct MI250XAMD Instinct MI250AMD Instinct MI210AMD Instinct MI100AMD Radeon Instinct MI60AMD Radeon Instinct MI50AMD Radeon Instinct MI25AMD Radeon Instinct MI8AMD Radeon Instinct MI6
CPU ArchitectureZen 5 (Exascale APU)N/AN/AZen 4 (Exascale APU)N/AN/AN/AN/AN/AN/AN/AN/AN/A
GPU ArchitectureCDNA 4CDNA 3+?Aqua Vanjaram (CDNA 3)Aqua Vanjaram (CDNA 3)Aldebaran (CDNA 2)Aldebaran (CDNA 2)Aldebaran (CDNA 2)Arcturus (CDNA 1)Vega 20Vega 20Vega 10Fiji XTPolaris 10
GPU Process Node4nm4nm5nm+6nm5nm+6nm6nm6nm6nm7nm FinFET7nm FinFET7nm FinFET14nm FinFET28nm14nm FinFET
GPU ChipletsTBDTBD8 (MCM)8 (MCM)2 (MCM)
1 (Per Die)
2 (MCM)
1 (Per Die)
2 (MCM)
1 (Per Die)
1 (Monolithic)1 (Monolithic)1 (Monolithic)1 (Monolithic)1 (Monolithic)1 (Monolithic)
GPU CoresTBDTBD19,45614,59214,08013,3126656768040963840409640962304
GPU Clock SpeedTBDTBD2100 MHz2100 MHz1700 MHz1700 MHz1700 MHz1500 MHz1800 MHz1725 MHz1500 MHz1000 MHz1237 MHz
INT8 ComputeTBDTBD2614 TOPS1961 TOPS383 TOPs362 TOPS181 TOPS92.3 TOPSN/AN/AN/AN/AN/A
FP16 ComputeTBDTBD1.3 PFLOPs980.6 TFLOPs383 TFLOPs362 TFLOPs181 TFLOPs185 TFLOPs29.5 TFLOPs26.5 TFLOPs24.6 TFLOPs8.2 TFLOPs5.7 TFLOPs
FP32 ComputeTBDTBD163.4 TFLOPs122.6 TFLOPs95.7 TFLOPs90.5 TFLOPs45.3 TFLOPs23.1 TFLOPs14.7 TFLOPs13.3 TFLOPs12.3 TFLOPs8.2 TFLOPs5.7 TFLOPs
FP64 ComputeTBDTBD81.7 TFLOPs61.3 TFLOPs47.9 TFLOPs45.3 TFLOPs22.6 TFLOPs11.5 TFLOPs7.4 TFLOPs6.6 TFLOPs768 GFLOPs512 GFLOPs384 GFLOPs
VRAMTBDHBM3e192 GB HBM3128 GB HBM3128 GB HBM2e128 GB HBM2e64 GB HBM2e32 GB HBM232 GB HBM216 GB HBM216 GB HBM24 GB HBM116 GB GDDR5
Infinity CacheTBDTBD256 MB256 MBN/AN/AN/AN/AN/AN/AN/AN/AN/A
Memory ClockTBDTBD5.2 Gbps5.2 Gbps3.2 Gbps3.2 Gbps3.2 Gbps1200 MHz1000 MHz1000 MHz945 MHz500 MHz1750 MHz
Memory BusTBDTBD8192-bit8192-bit8192-bit8192-bit4096-bit4096-bit bus4096-bit bus4096-bit bus2048-bit bus4096-bit bus256-bit bus
Memory BandwidthTBDTBD5.3 TB/s5.3 TB/s3.2 TB/s3.2 TB/s1.6 TB/s1.23 TB/s1 TB/s1 TB/s484 GB/s512 GB/s224 GB/s
Form FactorTBDTBDOAMAPU SH5 SocketOAMOAMDual Slot CardDual Slot, Full LengthDual Slot, Full LengthDual Slot, Full LengthDual Slot, Full LengthDual Slot, Half LengthSingle Slot, Full Length
CoolingTBDTBDPassive CoolingPassive CoolingPassive CoolingPassive CoolingPassive CoolingPassive CoolingPassive CoolingPassive CoolingPassive CoolingPassive CoolingPassive Cooling
TDP (Max)TBDTBD750W760W560W500W300W300W300W300W300W175W150W

About the author: A Software Engineer by training and a PC enthusiast by passion, Hassan Mujtaba serves as Wccftech's Senior Editor for hardware section. With years of experience in the industry, he specializes in deep-dive technical analysis of next-generation CPU and GPU architectures, motherboards, and cooling solutions. His work involves not only breaking news on upcoming technologies but also extensive hands-on reviews and benchmarking.

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