EIZO MED-X5000 vs NVIDIA RTX PRO 6000 Blackwell Server

Comparison of EIZO MED-X5000 with 2 GB GDDR5 and 768 cores vs NVIDIA RTX PRO 6000 Blackwell Server with 96 GB GDDR7 and 24,064 cores.

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Performance Rating

A100 A100
H200 H200
MI325X MI325X

EIZO MED-X5000

0.0

EIZO MED-X5000

0.0
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

NVIDIA RTX PRO 6000 Blackwell Server

57.5

NVIDIA RTX PRO 6000 Blackwell Server

57.5

Contents:

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

Memory

Memory Size

2 ГБ
🔥 +4,700% 96 ГБ

Memory Type

GDDR5 GDDR7

Memory Bandwidth

102.4 GB/s
🔥 1.79 TB/s

Memory Bus Width

256 бит 512 бит

ML Performance

FP16 (Half Precision)

No
🔥 126.0 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

No
🔥 126.0 TFLOPS

FP64 (Double Precision)

0.0792 TFLOPS
🔥 +2,385% 1.968 TFLOPS

CUDA Cores

768
🔥 +3,033% 24,064

RT Cores

No
🔥 188

Architecture & Compatibility

GPU Architecture

GCN 1.0 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

800
🔥 +119% 1,750

Power Consumption

TDP/TGP

🔥 -88% 75 W
600 W

Recommended PSU

🔥 -75% 250 W
1000 W

Power Connector

None 1x 16-pin

Rendering

Texture Units (TMU)

48
🔥 +1,467% 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. 7, 2012 March 18, 2025

Display Outputs

1x DVI
2x DisplayPort 1.2
4x DisplayPort 2.1b

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