NVIDIA RTX PRO 6000 Blackwell Server vs Point of View GTX 1050 Ti

Comparison of NVIDIA RTX PRO 6000 Blackwell Server with 96 GB GDDR7 and 24,064 cores vs Point of View GTX 1050 Ti with 4 GB GDDR5 and 768 cores.

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Performance Rating

A100 A100
H200 H200
MI325X MI325X

NVIDIA RTX PRO 6000 Blackwell Server

NVIDIA RTX PRO 6000 Blackwell Server

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

Point of View GTX 1050 Ti

1.9

Point of View GTX 1050 Ti

1.9

Contents:

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

Memory

Memory Size

96 GB 4 ГБ

Memory Type

GDDR7 GDDR5

Memory Bandwidth

1.79 TB/s 112.1 GB/s

Memory Bus Width

512 бит 128 бит

ML Performance

FP16 (Half Precision)

126.0 TFLOPS 33.41 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

126.0 TFLOPS 2.138 TFLOPS

FP64 (Double Precision)

1.968 TFLOPS 0.06681999999999999 TFLOPS

CUDA Cores

24,064 768

RT Cores

188 No

Architecture & Compatibility

GPU Architecture

Blackwell 2.0 Pascal

SM (Streaming Multiprocessor)

188 6

PCIe Version

PCIe 5.0 x16 PCIe 3.0 x16

ML Software Support

CUDA Version

🔥 12.0
6.1

Clocks & Performance

Base Clock

1,590 1,291

Boost Clock

2,617 1,392

Memory Clock

1,750 1,752

Power Consumption

TDP/TGP

600 W
🔥 -88% 75 W

Recommended PSU

1000 W
🔥 -75% 250 W

Power Connector

1x 16-pin None

Rendering

Texture Units (TMU)

752 48

ROP

188 No

L2 Cache

128 MB 1024 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 Oct. 25, 2016

Display Outputs

4x DisplayPort 2.1b
1x DVI
1x HDMI 2.0
1x DisplayPort 1.4a

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