NVIDIA CMP 70HX vs PNY Quadro P1000 V2

Comparison of NVIDIA CMP 70HX with 8 GB GDDR6X and 3,840 cores vs PNY Quadro P1000 V2 with 4 GB GDDR5 and 512 cores.

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Performance Rating

PNY Quadro P1000 V2 outperforms NVIDIA CMP 70HX by 756.71% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

NVIDIA CMP 70HX

7.7

NVIDIA CMP 70HX

7.7
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

PNY Quadro P1000 V2

65.7

PNY Quadro P1000 V2

65.7

Contents:

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

Memory

Memory Size

🔥 +100% 8 ГБ
4 ГБ

Memory Type

GDDR6X GDDR5

Memory Bandwidth

608.3 GB/s 96.13 GB/s

Memory Bus Width

256 бит 128 бит

ML Performance

FP16 (Half Precision)

🔥 10.71 TFLOPS
22.27 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 10.71 TFLOPS
1,425.0 TFLOPS

FP64 (Double Precision)

🔥 +276% 0.1674 TFLOPS
0.044539999999999996 TFLOPS

CUDA Cores

🔥 +650% 3,840
512

RT Cores

🔥 30
No

Architecture & Compatibility

GPU Architecture

Ampere Pascal

SM (Streaming Multiprocessor)

🔥 +650% 30
4

PCIe Version

PCIe 1.0 x4 PCIe 3.0 x16

ML Software Support

CUDA Version

🔥 8.6
6.1

Clocks & Performance

Base Clock

🔥 +1% 1,365
1,354

Boost Clock

🔥 1,395
1,392

Memory Clock

🔥 1,188
1,502

Power Consumption

TDP/TGP

unknown 47 W

Recommended PSU

200 W 200 W

Power Connector

1x 12-pin None

Rendering

Texture Units (TMU)

🔥 +275% 120
32

ROP

🔥 30
No

L2 Cache

🔥 4 MB
1024 KB

Benchmarks

llama.cpp, llama 7B Q4_0

14.0 tokens/s

llama.cpp, llama-2-7b-Q4_0

14.0 tokens/s

Additional

Slots

Dual-slot Single-slot

Release Date

July 16, 2021 Feb. 7, 2017

Display Outputs

No outputs
4x mini-DisplayPort 1.4a

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