NVIDIA Tesla M40 vs SPARKLE Arc A310 OmniView

Comparison of NVIDIA Tesla M40 with 12 GB GDDR5 and 3,072 cores vs SPARKLE Arc A310 OmniView with 4 GB GDDR6 and 768 cores.

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Performance Rating

NVIDIA Tesla M40 outperforms SPARKLE Arc A310 OmniView by 159.55% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

NVIDIA Tesla M40

5.7

NVIDIA Tesla M40

5.7
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

SPARKLE Arc A310 OmniView

2.2

SPARKLE Arc A310 OmniView

2.2

Contents:

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

Memory

Memory Size

12 ГБ
🔥 4 ГБ

Memory Type

GDDR5 GDDR6

Memory Bandwidth

288.4 GB/s 124.0 GB/s

Memory Bus Width

384 бит 64 бит

ML Performance

FP16 (Half Precision)

No
🔥 6.144 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

6.832 TFLOPS
🔥 3.072 TFLOPS

FP64 (Double Precision)

0.2135 TFLOPS
🔥 +260% 0.768 TFLOPS

CUDA Cores

3,072
🔥 768

RT Cores

No
🔥 6

Architecture & Compatibility

GPU Architecture

Maxwell 2.0 Generation 12.7

SM (Streaming Multiprocessor)

No No

PCIe Version

PCIe 3.0 x16 PCIe 4.0 x8

ML Software Support

CUDA Version

5.2 No

Clocks & Performance

Base Clock

948
🔥 +111% 2,000

Boost Clock

1,112
🔥 +80% 2,000

Memory Clock

1,502
🔥 +29% 1,937

Power Consumption

TDP/TGP

250 W
🔥 -70% 75 W

Recommended PSU

600 W
🔥 -58% 250 W

Power Connector

8-pin EPS None

Rendering

Texture Units (TMU)

192
🔥 32

ROP

No
🔥 6

L2 Cache

3 MB
🔥 +33% 4 MB

Benchmarks

llama.cpp, gpt-oss 20B Q4_K - Medium

47.0 tokens/s

llama.cpp, llama 7B Q4_0

36.7 tokens/s

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

41.7 tokens/s

llama.cpp, qwen3 32B Q4_K - Medium

7.19 tokens/s

llama.cpp, qwen3moe 30B.A3B Q4_K - Medium

35.1 tokens/s

Additional

Slots

Dual-slot Single-slot

Release Date

Nov. 10, 2015 Nov. 18, 2024

Display Outputs

No outputs
4x mini-DisplayPort 2.0
4x HDMI 2.1

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