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The latest block diagram of AMD’s CDNA2 Aldebaran GPU’s shed new light on its specs

This year along with the Instinct MI200 accelerator, AMD is also planning to release its CDNA 2 powered Aldebaran GPU. The graphics processor will feature an MCM design and carry massive amounts of cores and memory. In the latest leak, we can also witness a die block diagram of the full Aldebaran GPU.

According to sources, the block diagram shows the latest details shared by Kepler_L2 for the CDNA 2 powered GPU. The Aldebaran GPU powering the Instinct MI200 will feature two dies, a secondary and a primary. The two dies will each consist of 8 shader engines for a total of 16 SE’s.

It’s not just that, but the block diagram suggests that each of the Shader Engine will pack 16 CUs with full-rate FP64, packed FP32 & a 2nd Generation Matrix Engine for FP16 & BF16 operations.

AMD Instinct MI200 Aldebaran CDNA 2 GPU Block Diagram The latest block diagram of AMD’s CDNA2 Aldebaran GPU’s shed new light on its specs

Each die of the block diagram will comprise 128 compute units or 8192 stream processors. So we can assume that a total of 256 compute units or 16,384 stream processors for the entire chip will be present, as well as the Aldebaran GPU will be powered by a new XGMI interconnect.

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Moving over to 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 capacity would be a whopping 128 GB. That’s 48 GB more than the A100, which houses 80 GB HBM2e memory. This would be a juggernaut of an HPC GPU, but we also expect some high power figures when it launches.

As for the product itself, Kepler_L2 states that the actual AMD Instinct MI200 accelerator will utilize a cut-down configuration comprising  224 CUs or 14,336 cores.

AMD Radeon Instinct Accelerators 2020

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Accelerator NameAMD Radeon Instinct MI6AMD Radeon Instinct MI8AMD Radeon Instinct MI25AMD Radeon Instinct MI50AMD Radeon Instinct MI60AMD Instinct MI100AMD Instinct MI200
GPU ArchitecturePolaris 10Fiji XTVega 10Vega 20Vega 20Arcturus (CDNA 1)Aldebaran (CDNA 2)
GPU Process Node14nm FinFET28nm14nm FinFET7nm FinFET7nm FinFET7nm FinFETAdvanced Process Node
GPU Cores23044096409638404096768014,336?
GPU Clock Speed1237 MHz1000 MHz1500 MHz1725 MHz1800 MHz~1500 MHzTBA
FP16 Compute5.7 TFLOPs8.2 TFLOPs24.6 TFLOPs26.5 TFLOPs29.5 TFLOPs185 TFLOPsTBA
FP32 Compute5.7 TFLOPs8.2 TFLOPs12.3 TFLOPs13.3 TFLOPs14.7 TFLOPs23.1 TFLOPsTBA
FP64 Compute384 GFLOPs512 GFLOPs768 GFLOPs6.6 TFLOPs7.4 TFLOPs11.5 TFLOPsTBA
VRAM16 GB GDDR54 GB HBM116 GB HBM216 GB HBM232 GB HBM232 GB HBM264/128 GB HBM2e?
Memory Clock1750 MHz500 MHz945 MHz1000 MHz1000 MHz1200 MHzTBA
Memory Bus256-bit bus4096-bit bus2048-bit bus4096-bit bus4096-bit bus4096-bit bus8192-bit
Memory Bandwidth224 GB/s512 GB/s484 GB/s1 TB/s1 TB/s1.23 TB/s~2 TB/s?
Form FactorSingle Slot, Full LengthDual Slot, Half LengthDual Slot, Full LengthDual Slot, Full LengthDual Slot, Full LengthDual Slot, Full LengthDual Slot, Full Length / OAM
CoolingPassive CoolingPassive CoolingPassive CoolingPassive CoolingPassive CoolingPassive CoolingPassive Cooling
TDP150W175W300W300W300W300WTBA

Source

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Nivedita Bangari
Nivedita Bangari
I am a software engineer by profession and technology is my love, learning and playing with new technologies is my passion.
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