Intel Data Center GPU Max 1550 vs NVIDIA RTX PRO 6000 Blackwell Server

Comparison of Intel Data Center GPU Max 1550 with 128 GB HBM2e and 16,384 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

Intel Data Center GPU Max 1550

Intel Data Center GPU Max 1550

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

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

128 GB 96 GB

Memory Type

HBM2e GDDR7

Memory Bandwidth

3.28 TB/s 1.79 TB/s

Memory Bus Width

8,192 бит 512 бит

ML Performance

FP16 (Half Precision)

52.43 TFLOPS 126.0 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

52.43 TFLOPS 126.0 TFLOPS

FP64 (Double Precision)

52.43 TFLOPS 1.968 TFLOPS

CUDA Cores

16,384 24,064

RT Cores

128 188

Architecture & Compatibility

GPU Architecture

Generation 12.5 Blackwell 2.0

SM (Streaming Multiprocessor)

No 188

PCIe Version

PCIe 5.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

No 12.0

Clocks & Performance

Base Clock

900 1,590

Boost Clock

1,600 2,617

Memory Clock

1,600 1,750

Power Consumption

TDP/TGP

600 W 600 W

Recommended PSU

1000 W 1000 W

Power Connector

No 1x 16-pin

Rendering

Texture Units (TMU)

1,024 752

ROP

128 188

L2 Cache

408 MB 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

OAM Module Dual-slot

Release Date

Jan. 10, 2023 March 18, 2025

Display Outputs

No outputs
4x DisplayPort 2.1b

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