NVIDIA RTX PRO 6000 Blackwell Server vs NVIDIA Tesla P10

Comparison of NVIDIA RTX PRO 6000 Blackwell Server with 96 GB GDDR7 and 24,064 cores vs NVIDIA Tesla P10 with 24 GB GDDR5X and 3,840 cores.

Loading...

Performance Rating

H200 H200
MI325X MI325X
A100 A100

NVIDIA RTX PRO 6000 Blackwell Server

NVIDIA RTX PRO 6000 Blackwell Server

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

NVIDIA Tesla P10

10.0

NVIDIA Tesla P10

10.0

Contents:

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

Memory

Memory Size

96 GB 24 ГБ

Memory Type

GDDR7 GDDR5X

Memory Bandwidth

1.79 TB/s 694.3 GB/s

Memory Bus Width

512 бит 384 бит

ML Performance

FP16 (Half Precision)

126.0 TFLOPS 179.2 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

126.0 TFLOPS 11.47 TFLOPS

FP64 (Double Precision)

1.968 TFLOPS 0.3583 TFLOPS

CUDA Cores

24,064 3,840

RT Cores

188 No

Architecture & Compatibility

GPU Architecture

Blackwell 2.0 Pascal

SM (Streaming Multiprocessor)

188 30

PCIe Version

PCIe 5.0 x16 PCIe 3.0 x16

ML Software Support

CUDA Version

🔥 12.0
6.1

Clocks & Performance

Base Clock

1,590 1,025

Boost Clock

2,617 1,493

Memory Clock

1,750 1,808

Power Consumption

TDP/TGP

600 W
🔥 -75% 150 W

Recommended PSU

1000 W
🔥 -55% 450 W

Power Connector

1x 16-pin 1x 8-pin

Rendering

Texture Units (TMU)

752 240

ROP

188 No

L2 Cache

128 MB 3 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

Dual-slot Single-slot

Release Date

March 18, 2025 Sept. 13, 2016

Display Outputs

4x DisplayPort 2.1b
No outputs

Renting is cheaper than buying