NVIDIA RTX PRO 6000 Blackwell Server vs Palit RTX 3050 Dual

Comparison of NVIDIA RTX PRO 6000 Blackwell Server with 96 GB GDDR7 and 24,064 cores vs Palit RTX 3050 Dual with 8 GB GDDR6 and 2,560 cores.

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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

Palit RTX 3050 Dual

Palit RTX 3050 Dual

Contents:

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

Memory

Memory Size

96 GB 8 GB

Memory Type

GDDR7 GDDR6

Memory Bandwidth

1.79 TB/s 224.0 GB/s

Memory Bus Width

512 бит 128 бит

ML Performance

FP16 (Half Precision)

126.0 TFLOPS 9.098 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

126.0 TFLOPS 9.098 TFLOPS

FP64 (Double Precision)

1.968 TFLOPS 0.1422 TFLOPS

CUDA Cores

24,064 2,560

RT Cores

188 20

Architecture & Compatibility

GPU Architecture

Blackwell 2.0 Ampere

SM (Streaming Multiprocessor)

188 20

PCIe Version

PCIe 5.0 x16 PCIe 4.0 x8

ML Software Support

CUDA Version

🔥 12.0
8.6

Clocks & Performance

Base Clock

1,590 1,552

Boost Clock

2,617 1,777

Memory Clock

1,750 1,750

Power Consumption

TDP/TGP

600 W
🔥 -78% 130 W

Recommended PSU

1000 W
🔥 -70% 300 W

Power Connector

1x 16-pin 1x 8-pin

Rendering

Texture Units (TMU)

752 80

ROP

188 20

L2 Cache

128 MB 2 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 Dual-slot

Release Date

March 18, 2025 Jan. 4, 2022

Display Outputs

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

Renting is cheaper than buying