NVIDIA RTX PRO 6000 Blackwell Server vs NVIDIA Tesla S870

Comparison of NVIDIA RTX PRO 6000 Blackwell Server with 96 GB GDDR7 and 24,064 cores vs NVIDIA Tesla S870 with 1,536 GB GDDR3 and 128 cores.

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Performance Rating

A100 A100
H200 H200
MI325X MI325X

NVIDIA RTX PRO 6000 Blackwell Server

57.5

NVIDIA RTX PRO 6000 Blackwell Server

57.5
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

NVIDIA Tesla S870

NVIDIA Tesla S870

Contents:

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

Memory

Memory Size

🔥 96 ГБ
1,536 MB ×4 (6144 ГБ)

Memory Type

GDDR7 GDDR3

Memory Bandwidth

🔥 1.79 TB/s
76.80 GB/s ×4 (307.2 GB/s)

Memory Bus Width

512 бит 384 бит ×4 (1536 бит)

ML Performance

FP16 (Half Precision)

🔥 126.0 TFLOPS
No

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +36,358% 126.0 TFLOPS
0.3456 TFLOPS

FP64 (Double Precision)

🔥 1.968 TFLOPS
No

CUDA Cores

🔥 +18,700% 24,064
128 ×4 (512)

RT Cores

🔥 188
No

Architecture & Compatibility

GPU Architecture

Blackwell 2.0 Tesla

SM (Streaming Multiprocessor)

🔥 +1,075% 188
16

PCIe Version

PCIe 5.0 x16 PCIe 1.0 x16

ML Software Support

CUDA Version

🔥 12.0
1.0

Clocks & Performance

Base Clock

🔥 1,590
No

Boost Clock

🔥 2,617
No

Memory Clock

🔥 +119% 1,750
800

Power Consumption

TDP/TGP

🔥 -25% 600 W
800 W

Recommended PSU

🔥 -17% 1000 W
1200 W

Power Connector

1x 16-pin No

Rendering

Texture Units (TMU)

🔥 +2,250% 752
32 ×4 (128)

ROP

🔥 188
No

L2 Cache

🔥 +33% 128 MB
96 KB

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 Dual-slot

Release Date

March 18, 2025 May 2, 2007

Display Outputs

4x DisplayPort 2.1b
No outputs

Renting is cheaper than buying