Intel Data Center GPU Max NEXT vs SPARKLE Arc A310 OmniView

Comparison of Intel Data Center GPU Max NEXT with 128 GB HBM2e and 20,480 cores vs SPARKLE Arc A310 OmniView with 4 GB GDDR6 and 768 cores.

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Performance Rating

Intel Data Center GPU Max NEXT outperforms SPARKLE Arc A310 OmniView by 2,723.64% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

Intel Data Center GPU Max NEXT

62.1

Intel Data Center GPU Max NEXT

62.1
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

128 ГБ
🔥 4 ГБ

Memory Type

HBM2e GDDR6

Memory Bandwidth

🔥 3.21 TB/s
124.0 GB/s

Memory Bus Width

8,192 бит 64 бит

ML Performance

FP16 (Half Precision)

65.54 TFLOPS
🔥 6.144 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

65.54 TFLOPS
🔥 3.072 TFLOPS

FP64 (Double Precision)

65.54 TFLOPS
🔥 0.768 TFLOPS

CUDA Cores

20,480
🔥 768

RT Cores

160
🔥 6

Architecture & Compatibility

GPU Architecture

Generation 12.5 Generation 12.7

SM (Streaming Multiprocessor)

No No

PCIe Version

PCIe 5.0 x16 PCIe 4.0 x8

ML Software Support

CUDA Version

No No

Clocks & Performance

Base Clock

900
🔥 +122% 2,000

Boost Clock

1,600
🔥 +25% 2,000

Memory Clock

1,565
🔥 +24% 1,937

Power Consumption

TDP/TGP

800 W
🔥 -91% 75 W

Recommended PSU

1200 W
🔥 -79% 250 W

Power Connector

8-pin EPS None

Rendering

Texture Units (TMU)

1,280
🔥 32

ROP

160
🔥 6

L2 Cache

408 MB
🔥 4 MB

Benchmarks

MLPerf, llama2-70b-99.9 (UINT4)

527.5 tokens/s

MLPerf, llama3.1-8b (UINT4)

1 337 tokens/s

MLPerf, llama3.1-8b-edge (UINT4)

1 652 tokens/s

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

8.21 tokens/s

Additional

Slots

OAM Module Single-slot

Release Date

No Nov. 18, 2024

Display Outputs

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

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