NVIDIA RTX PRO 6000 Blackwell Server vs ZOGIS GTX 1050 SuperClock

Comparison of NVIDIA RTX PRO 6000 Blackwell Server with 96 GB GDDR7 and 24,064 cores vs ZOGIS GTX 1050 SuperClock with 2 GB GDDR5 and 640 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

ZOGIS GTX 1050 SuperClock

1.6

ZOGIS GTX 1050 SuperClock

1.6

Contents:

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

Memory

Memory Size

96 GB 2 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 31.12 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

126.0 TFLOPS 1.992 TFLOPS

FP64 (Double Precision)

1.968 TFLOPS 0.062240000000000004 TFLOPS

CUDA Cores

24,064 640

RT Cores

188 No

Architecture & Compatibility

GPU Architecture

Blackwell 2.0 Pascal

SM (Streaming Multiprocessor)

188 5

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 1,442

Boost Clock

2,617 1,556

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 40

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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