NVIDIA A800 PCIe 80 GB vs NVIDIA RTX PRO 6000 Blackwell Server

Comparison of NVIDIA A800 PCIe 80 GB with 80 GB HBM2e and 6,912 cores vs NVIDIA RTX PRO 6000 Blackwell Server with 96 GB GDDR7 and 24,064 cores.

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Performance Rating

H200 H200
MI325X MI325X
A100 A100

NVIDIA A800 PCIe 80 GB

NVIDIA A800 PCIe 80 GB

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

NVIDIA RTX PRO 6000 Blackwell Server

NVIDIA RTX PRO 6000 Blackwell Server

Contents:

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

Memory

Memory Size

80 GB 96 GB

Memory Type

HBM2e GDDR7

Memory Bandwidth

1.94 TB/s 1.79 TB/s

Memory Bus Width

5,120 бит 512 бит

ML Performance

FP16 (Half Precision)

77.97 TFLOPS 126.0 TFLOPS

BF16 (Brain Float)

311.84 TFLOPS No

TF32 (TensorFloat)

155.92 No

Compute Power

FP32 (Single Precision)

19.49 TFLOPS 126.0 TFLOPS

FP64 (Double Precision)

9.746 TFLOPS 1.968 TFLOPS

CUDA Cores

6,912 24,064

RT Cores

No 188

Architecture & Compatibility

GPU Architecture

Ampere Blackwell 2.0

SM (Streaming Multiprocessor)

108 188

PCIe Version

PCIe 4.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

8.0
🔥 12.0

Clocks & Performance

Base Clock

1,065 1,590

Boost Clock

1,410 2,617

Memory Clock

1,512 1,750

Power Consumption

TDP/TGP

🔥 -58% 250 W
600 W

Recommended PSU

🔥 -40% 600 W
1000 W

Power Connector

8-pin EPS 1x 16-pin

Rendering

Texture Units (TMU)

432 752

ROP

No 188

L2 Cache

80 MB 128 MB

Benchmarks

MLPerf, llama2-70b-99.9 (fp4)

3 250 tokens/s

MLPerf, llama3.1-8b (fp4)

5 758 tokens/s

Geekbench AI, FP16

53 322 points

Geekbench AI, INT8

28 264 points

Geekbench AI, FP32

37 299 points

MLPerf, mixtral-8x7b (fp8)

3 767 tokens/s

Additional

Slots

Dual-slot Dual-slot

Release Date

Nov. 8, 2022 March 18, 2025

Display Outputs

No outputs
4x DisplayPort 2.1b

Renting is cheaper than buying