NVIDIA RTX PRO 6000 Blackwell Server vs Samsung 9200M GS 512 MB

Comparison of NVIDIA RTX PRO 6000 Blackwell Server with 96 GB GDDR7 and 24,064 cores vs Samsung 9200M GS 512 MB with 512 GB DDR2 and 8 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

Samsung 9200M GS 512 MB

Samsung 9200M GS 512 MB

Contents:

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

Memory

Memory Size

🔥 96 ГБ
512 MB

Memory Type

GDDR7 DDR2

Memory Bandwidth

🔥 1.79 TB/s
6.560 GB/s

Memory Bus Width

512 бит 64 бит

ML Performance

FP16 (Half Precision)

🔥 126.0 TFLOPS
No

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +605,669% 126.0 TFLOPS
0.0208 TFLOPS

FP64 (Double Precision)

🔥 1.968 TFLOPS
No

CUDA Cores

🔥 +300,700% 24,064
8

RT Cores

🔥 188
No

Architecture & Compatibility

GPU Architecture

Blackwell 2.0 Tesla

SM (Streaming Multiprocessor)

🔥 +18,700% 188
1

PCIe Version

PCIe 5.0 x16 PCIe 2.0 x16

ML Software Support

CUDA Version

🔥 12.0
1.1

Clocks & Performance

Base Clock

🔥 1,590
No

Boost Clock

🔥 2,617
No

Memory Clock

🔥 +327% 1,750
410

Power Consumption

TDP/TGP

600 W
🔥 -98% 13 W

Recommended PSU

1000 W No

Power Connector

1x 16-pin None

Rendering

Texture Units (TMU)

🔥 +18,700% 752
4

ROP

🔥 188
No

L2 Cache

🔥 +700% 128 MB
16 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 No

Release Date

March 18, 2025 June 3, 2008

Display Outputs

4x DisplayPort 2.1b
Portable Device Dependent

Renting is cheaper than buying