NVIDIA RTX 5880 Ada Generation vs NVIDIA RTX PRO 6000 Blackwell Server

Comparison of NVIDIA RTX 5880 Ada Generation with 48 GB GDDR6 and 14,080 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 RTX 5880 Ada Generation

31.3

NVIDIA RTX 5880 Ada Generation

31.3
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

🔥 48 ГБ
96 GB

Memory Type

GDDR6 GDDR7

Memory Bandwidth

864.0 GB/s 1.79 TB/s

Memory Bus Width

384 бит 512 бит

ML Performance

FP16 (Half Precision)

🔥 69.27 TFLOPS
126.0 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 69.27 TFLOPS
126.0 TFLOPS

FP64 (Double Precision)

No 1.968 TFLOPS

CUDA Cores

🔥 14,080
24,064

RT Cores

🔥 110
188

Architecture & Compatibility

GPU Architecture

Ada Lovelace Blackwell 2.0

SM (Streaming Multiprocessor)

🔥 110
188

PCIe Version

PCIe 4.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

8.9
🔥 12.0

Clocks & Performance

Base Clock

🔥 975
1,590

Boost Clock

🔥 2,460
2,617

Memory Clock

🔥 +29% 2,250
1,750

Power Consumption

TDP/TGP

🔥 -52% 285 W
600 W

Recommended PSU

🔥 -40% 600 W
1000 W

Power Connector

1x 16-pin 1x 16-pin

Rendering

Texture Units (TMU)

🔥 440
752

ROP

🔥 110
188

L2 Cache

🔥 72 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

Jan. 5, 2024 March 18, 2025

Display Outputs

4x DisplayPort 1.4a
4x DisplayPort 2.1b

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