AMD Radeon Instinct MI250 vs NVIDIA GRID A100A

Comparison AMD Radeon Instinct MI250 with 128 GB HBM2e and 13,312 cores vs NVIDIA GRID A100A with 32 GB HBM2e and 6,912 cores.

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Performance Rating

AMD Radeon Instinct MI250 outperforms NVIDIA GRID A100A by 125.38% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

AMD Radeon Instinct MI250

50.9

AMD Radeon Instinct MI250

50.9
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

NVIDIA GRID A100A

22.6

NVIDIA GRID A100A

22.6

Expert Comparison

AMD Radeon Instinct MI250 имеет более мощную конфигурацию с большим объемом памяти (128 ГБ против 32 ГБ) и выше пропускной способности (3.28 TB/s против 1.87 TB/s), что делает его предпочтительным для вычислительных задач и больших данных. NVIDIA GRID A100A, хотя и имеет меньшую память и пропускную способность, более энергоэффективен (TDP 400 Вт против 500 Вт) и подходит для менее интенсивных вычислений.

Contents:

Memory ML Performance Compute Power Architecture & Compatibility ML Software Support Clocks & Performance Power Consumption Rendering Benchmarks Additional

Memory

Memory Size

🔥 +300% 128 ГБ
32 GB

Memory Type

HBM2e HBM2e

Memory Bandwidth

🔥 +75% 3.28 TB/s
1.87 TB/s

Memory Bus Width

8,192 бит 6,144 бит

ML Performance

FP16 (Half Precision)

🔥 +364% 362.1 TFLOPS
77.97 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +132% 45.26 TFLOPS
19.49 TFLOPS

FP64 (Double Precision)

🔥 +364% 45.26 TFLOPS
9.746 TFLOPS

CUDA Cores

🔥 +93% 13,312
6,912

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 2.0 Ampere

SM (Streaming Multiprocessor)

No
🔥 108

PCIe Version

PCIe 4.0 x16 PCIe 4.0 x16

ML Software Support

CUDA Version

No 8.0

CUDA Toolkit (first supported)

v11

CUDA Toolkit status

Supported Supported

Clocks & Performance

Base Clock

1,000
🔥 +10% 1,095

Boost Clock

🔥 +21% 1,700
1,410

Memory Clock

🔥 +32% 1,600
1,215

Power Consumption

Recommended PSU

900 W
🔥 -11% 800 W

Power Connector

2x 8-pin None

TDP/TGP

500 W
🔥 -20% 400 W

Rendering

Texture Units (TMU)

🔥 +93% 832
432

ROP

No No

L2 Cache

16 MB
🔥 +100% 32 MB

Benchmarks

llama.cpp, llama-2-7b-Q4_0

63.9 tokens/s

Additional

Slots

Dual-slot IGP

Release Date

Nov. 8, 2021 May 14, 2020

Display Outputs

No outputs
No outputs

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