NVIDIA Riva 128 vs NVIDIA RTX PRO 6000 Blackwell Server

Comparison of NVIDIA Riva 128 with 4 GB SDR vs NVIDIA RTX PRO 6000 Blackwell Server with 96 GB GDDR7 and 24,064 cores.

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Performance Rating

A100 A100
H200 H200
MI325X MI325X

NVIDIA Riva 128

0.0

NVIDIA Riva 128

0.0
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

NVIDIA RTX PRO 6000 Blackwell Server

57.5

NVIDIA RTX PRO 6000 Blackwell Server

57.5

Contents:

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

Memory

Memory Size

4 ГБ
🔥 +2,300% 96 ГБ

Memory Type

SDR GDDR7

Memory Bandwidth

1.600 GB/s
🔥 +12% 1.79 TB/s

Memory Bus Width

128 бит 512 бит

ML Performance

FP16 (Half Precision)

No
🔥 126.0 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

No
🔥 126.0 TFLOPS

FP64 (Double Precision)

No
🔥 1.968 TFLOPS

CUDA Cores

No
🔥 24,064

RT Cores

No
🔥 188

Architecture & Compatibility

GPU Architecture

None Blackwell 2.0

SM (Streaming Multiprocessor)

No
🔥 188

PCIe Version

AGP 2x PCIe 5.0 x16

ML Software Support

CUDA Version

No 12.0

Clocks & Performance

Base Clock

No
🔥 1,590

Boost Clock

No
🔥 2,617

Memory Clock

100
🔥 +1,650% 1,750

Power Consumption

TDP/TGP

🔥 -99% 4 W
600 W

Recommended PSU

🔥 -80% 200 W
1000 W

Power Connector

None 1x 16-pin

Rendering

Texture Units (TMU)

1
🔥 +75,100% 752

ROP

No
🔥 188

L2 Cache

No
🔥 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

Single-slot Dual-slot

Release Date

April 1, 1997 March 18, 2025

Display Outputs

1x VGA
1x DB13W3
4x DisplayPort 2.1b

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