AMD Radeon Instinct MI250 vs NVIDIA Quadro 3000M X2

Comparison AMD Radeon Instinct MI250 with 128 GB HBM2e and 13,312 cores vs NVIDIA Quadro 3000M X2 with 2 GB GDDR5 and 240 cores.

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Performance Rating

AMD Radeon Instinct MI250 outperforms NVIDIA Quadro 3000M X2 by 6,685.33% 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 Quadro 3000M X2

0.8

NVIDIA Quadro 3000M X2

0.8

Expert Comparison

AMD Radeon Instinct MI250 значительно превосходит NVIDIA Quadro 3000M X2 по количеству ядер, объему памяти и общим вычислительным возможностям. MI250 подходит для высокопроизводительных вычислений и машинного обучения, в то время как Quadro 3000M X2 больше ориентирован на графические задачи и проще в управлении для ноутбуков.

Contents:

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

Memory

Memory Size

🔥 +6,300% 128 ГБ
2 GB ×2 (4 ГБ)

Memory Type

HBM2e GDDR5

Memory Bandwidth

🔥 3.28 TB/s
80.00 GB/s ×2 (160 GB/s)

Memory Bus Width

8,192 бит 256 бит ×2 (512 бит)

ML Performance

FP16 (Half Precision)

🔥 362.1 TFLOPS
No

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +10,377% 45.26 TFLOPS
0.432 TFLOPS

FP64 (Double Precision)

🔥 +125,622% 45.26 TFLOPS
0.036 TFLOPS

CUDA Cores

🔥 +5,447% 13,312
240 ×2 (480)

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 2.0 Fermi

SM (Streaming Multiprocessor)

No 5

PCIe Version

PCIe 4.0 x16 MXM-B (3.0)

ML Software Support

CUDA Version

No 2.1

CUDA Toolkit (first supported)

v3

CUDA Toolkit (deprecated)

v8

CUDA Toolkit (support removed)

v9

CUDA Toolkit status

Supported Removed

Clocks & Performance

Base Clock

🔥 1,000
No

Boost Clock

🔥 1,700
No

Memory Clock

🔥 +156% 1,600
625

Power Consumption

Recommended PSU

900 W No

Power Connector

2x 8-pin None

TDP/TGP

500 W
🔥 -70% 150 W

Rendering

Texture Units (TMU)

🔥 +1,980% 832
40 ×2 (80)

ROP

No No

L2 Cache

🔥 16 MB
512 KB

Benchmarks

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

63.9 tokens/s

Additional

Slots

Dual-slot MXM Module

Release Date

Nov. 8, 2021 Feb. 22, 2011

Display Outputs

No outputs
Portable Device Dependent

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