AMD FirePro W7100 vs NVIDIA RTX PRO 6000 Blackwell Server

Comparison of AMD FirePro W7100 with 8 GB GDDR5 and 1,792 cores vs NVIDIA RTX PRO 6000 Blackwell Server with 96 GB GDDR7 and 24,064 cores.

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Performance Rating

H200 H200
MI325X MI325X
A100 A100

AMD FirePro W7100

3.1

AMD FirePro W7100

3.1
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

NVIDIA RTX PRO 6000 Blackwell Server

NVIDIA RTX PRO 6000 Blackwell Server

Contents:

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

Memory

Memory Size

8 ГБ 96 GB

Memory Type

GDDR5 GDDR7

Memory Bandwidth

160.0 GB/s 1.79 TB/s

Memory Bus Width

256 бит 512 бит

ML Performance

FP16 (Half Precision)

3.297 TFLOPS 126.0 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

3.297 TFLOPS 126.0 TFLOPS

FP64 (Double Precision)

0.2061 TFLOPS 1.968 TFLOPS

CUDA Cores

1,792 24,064

RT Cores

No 188

Architecture & Compatibility

GPU Architecture

GCN 3.0 Blackwell 2.0

SM (Streaming Multiprocessor)

No 188

PCIe Version

PCIe 3.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

No 12.0

Clocks & Performance

Base Clock

No 1,590

Boost Clock

No 2,617

Memory Clock

1,250 1,750

Power Consumption

TDP/TGP

🔥 -75% 150 W
600 W

Recommended PSU

🔥 -55% 450 W
1000 W

Power Connector

1x 6-pin 1x 16-pin

Rendering

Texture Units (TMU)

112 752

ROP

No 188

L2 Cache

512 KB 128 MB

Benchmarks

MLPerf, llama2-70b-99.9 (fp4)

3 250 tokens/s

MLPerf, llama3.1-8b (fp4)

5 758 tokens/s

Geekbench AI, FP16

53 322 points

Geekbench AI, INT8

28 264 points

Geekbench AI, FP32

37 299 points

MLPerf, mixtral-8x7b (fp8)

3 767 tokens/s

Additional

Slots

Single-slot Dual-slot

Release Date

Aug. 12, 2014 March 18, 2025

Display Outputs

4x DisplayPort 1.2
4x DisplayPort 2.1b

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