NVIDIA A800 SXM4 80 GB vs NVIDIA Tesla T10 16 GB

Comparison of NVIDIA A800 SXM4 80 GB with 80 GB HBM2e and 6,912 cores vs NVIDIA Tesla T10 16 GB with 16 GB GDDR6 and 3,584 cores.

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Performance Rating

H200 H200
MI325X MI325X
A100 A100

NVIDIA A800 SXM4 80 GB

NVIDIA A800 SXM4 80 GB

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

NVIDIA Tesla T10 16 GB

NVIDIA Tesla T10 16 GB

Contents:

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

Memory

Memory Size

80 GB 16 GB

Memory Type

HBM2e GDDR6

Memory Bandwidth

2.04 TB/s 403.2 GB/s

Memory Bus Width

5,120 бит 256 бит

ML Performance

FP16 (Half Precision)

77.97 TFLOPS 20.0 TFLOPS

BF16 (Brain Float)

311.84 TFLOPS No

TF32 (TensorFloat)

155.92 No

Compute Power

FP32 (Single Precision)

19.49 TFLOPS 9.999 TFLOPS

FP64 (Double Precision)

9.746 TFLOPS 0.3125 TFLOPS

CUDA Cores

6,912 3,584

RT Cores

No 56

Architecture & Compatibility

GPU Architecture

Ampere Turing

SM (Streaming Multiprocessor)

108 56

PCIe Version

PCIe 4.0 x16 PCIe 3.0 x16

ML Software Support

CUDA Version

🔥 8.0
7.5

Clocks & Performance

Base Clock

1,155 1,065

Boost Clock

1,410 1,395

Memory Clock

1,593 1,575

Power Consumption

TDP/TGP

400 W
🔥 -62% 150 W

Recommended PSU

800 W
🔥 -44% 450 W

Power Connector

None 1x 8-pin

Rendering

Texture Units (TMU)

432 224

ROP

No 56

L2 Cache

40 MB 6 MB

Additional

Slots

SXM Module Single-slot

Release Date

Aug. 11, 2022 March 12, 2020

Display Outputs

No outputs
No outputs

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