NVIDIA Tesla V100 FHHL vs SPARKLE Arc A310 OmniView

Comparison of NVIDIA Tesla V100 FHHL with 16 GB HBM2 and 5,120 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

NVIDIA Tesla V100 FHHL

13.4

NVIDIA Tesla V100 FHHL

13.4
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

16 ГБ 4 GB

Memory Type

HBM2 GDDR6

Memory Bandwidth

827.4 GB/s 124.0 GB/s

Memory Bus Width

4,096 бит 64 бит

ML Performance

FP16 (Half Precision)

26.42 TFLOPS 6.144 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

13.21 TFLOPS 3.072 TFLOPS

FP64 (Double Precision)

6.605 TFLOPS 0.768 TFLOPS

CUDA Cores

5,120 768

RT Cores

No 6

Architecture & Compatibility

GPU Architecture

Volta Xe-HPG

SM (Streaming Multiprocessor)

80 No

PCIe Version

PCIe 3.0 x16 PCIe 4.0 x8

ML Software Support

CUDA Version

7.0 No

Clocks & Performance

Base Clock

937 2,000

Boost Clock

1,290 2,000

Memory Clock

808 1,937

Power Consumption

TDP/TGP

250 W
🔥 -70% 75 W

Recommended PSU

600 W
🔥 -58% 250 W

Power Connector

1x 8-pin None

Rendering

Texture Units (TMU)

320 32

ROP

No 6

L2 Cache

6 MB 4 MB

Additional

Slots

Single-slot Single-slot

Release Date

March 27, 2018 Nov. 18, 2024

Display Outputs

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

Renting is cheaper than buying