NVIDIA RTX PRO 6000 Blackwell Server vs Sapphire HD 6450 HyperMemory

Comparison of NVIDIA RTX PRO 6000 Blackwell Server with 96 GB GDDR7 and 24,064 cores vs Sapphire HD 6450 HyperMemory and 160 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

Sapphire HD 6450 HyperMemory

0.0

Sapphire HD 6450 HyperMemory

0.0

Contents:

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

Memory

Memory Size

🔥 96 ГБ
No

Memory Type

GDDR7 GDDR3

Memory Bandwidth

🔥 1.79 TB/s
10.67 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)

🔥 126.0 TFLOPS
200.0 TFLOPS

FP64 (Double Precision)

🔥 1.968 TFLOPS
No

CUDA Cores

🔥 +14,940% 24,064
160

RT Cores

🔥 188
No

Architecture & Compatibility

GPU Architecture

Blackwell 2.0 TeraScale 2

SM (Streaming Multiprocessor)

🔥 188
No

PCIe Version

PCIe 5.0 x16 PCIe 2.0 x16

ML Software Support

CUDA Version

12.0 No

Clocks & Performance

Base Clock

🔥 1,590
No

Boost Clock

🔥 2,617
No

Memory Clock

🔥 +162% 1,750
667

Power Consumption

TDP/TGP

600 W
🔥 -97% 18 W

Recommended PSU

1000 W
🔥 -80% 200 W

Power Connector

1x 16-pin None

Rendering

Texture Units (TMU)

🔥 +9,300% 752
8

ROP

🔥 188
No

L2 Cache

🔥 128 MB
128 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 Single-slot

Release Date

March 18, 2025 April 19, 2011

Display Outputs

4x DisplayPort 2.1b
1x DVI
1x HDMI 1.3a
1x VGA

1x DVI
1x VGA
1x S-Video

Renting is cheaper than buying