Matrox LUMA A310 vs SPARKLE Arc A310 OmniView

Comparison of Matrox LUMA A310 with 4 GB GDDR6 and 768 cores vs SPARKLE Arc A310 OmniView with 4 GB GDDR6 and 768 cores.

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Performance Rating

H200 H200
MI325X MI325X
A100 A100

Matrox LUMA A310

2.1

Matrox LUMA A310

2.1
RX 7900 XTX RX 7900 XTX
Instinct MI300X Instinct MI300X
MI250 MI250

SPARKLE Arc A310 OmniView

SPARKLE Arc A310 OmniView

Contents:

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

Memory

Memory Size

🔥 4 ГБ
4 GB

Memory Type

GDDR6 GDDR6

Memory Bandwidth

124.0 GB/s 124.0 GB/s

Memory Bus Width

64 бит 64 бит

ML Performance

FP16 (Half Precision)

🔥 5.376 TFLOPS
6.144 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 2.688 TFLOPS
3.072 TFLOPS

FP64 (Double Precision)

🔥 0.672 TFLOPS
0.768 TFLOPS

CUDA Cores

🔥 768
768

RT Cores

🔥 6
6

Architecture & Compatibility

GPU Architecture

Generation 12.7 Xe-HPG

SM (Streaming Multiprocessor)

No No

PCIe Version

PCIe 4.0 x8 PCIe 4.0 x8

ML Software Support

CUDA Version

No No

Clocks & Performance

Base Clock

🔥 1,750
2,000

Boost Clock

🔥 1,750
2,000

Memory Clock

🔥 1,937
1,937

Power Consumption

TDP/TGP

🔥 -60% 30 W
75 W

Recommended PSU

🔥 -20% 200 W
250 W

Power Connector

None None

Rendering

Texture Units (TMU)

🔥 32
32

ROP

🔥 6
6

L2 Cache

🔥 4 MB
4 MB

Additional

Slots

Single-slot Single-slot

Release Date

April 27, 2023 Nov. 18, 2024

Display Outputs

4x mini-DisplayPort 2.0
4x mini-DisplayPort 2.0
4x HDMI 2.1

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