Colorful RTX 4090 D Vulcan vs NVIDIA RTX PRO 6000 Blackwell Server

Comparison of Colorful RTX 4090 D Vulcan with 24 GB GDDR6X and 14,592 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

Colorful RTX 4090 D Vulcan

30.1

Colorful RTX 4090 D Vulcan

30.1
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

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

🔥 24 ГБ
96 GB

Memory Type

GDDR6X GDDR7

Memory Bandwidth

🔥 1.01 TB/s
1.79 TB/s

Memory Bus Width

384 бит 512 бит

ML Performance

FP16 (Half Precision)

🔥 73.54 TFLOPS
126.0 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 73.54 TFLOPS
126.0 TFLOPS

FP64 (Double Precision)

No 1.968 TFLOPS

CUDA Cores

🔥 14,592
24,064

RT Cores

🔥 114
188

Architecture & Compatibility

GPU Architecture

Ada Lovelace Blackwell 2.0

SM (Streaming Multiprocessor)

🔥 114
188

PCIe Version

PCIe 4.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

8.9
🔥 12.0

Clocks & Performance

Base Clock

🔥 +43% 2,280
1,590

Boost Clock

🔥 2,520
2,617

Memory Clock

🔥 1,313
1,750

Power Consumption

TDP/TGP

🔥 -29% 425 W
600 W

Recommended PSU

🔥 -20% 800 W
1000 W

Power Connector

1x 16-pin 1x 16-pin

Rendering

Texture Units (TMU)

🔥 456
752

ROP

🔥 114
188

L2 Cache

🔥 72 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

Triple-slot Dual-slot

Release Date

Dec. 28, 2023 March 18, 2025

Display Outputs

1x HDMI 2.1
3x DisplayPort 1.4a
4x DisplayPort 2.1b

Renting is cheaper than buying