NVIDIA RTX PRO 4000 Blackwell Embedded vs NVIDIA RTX PRO 6000 Blackwell Server

Comparison NVIDIA RTX PRO 4000 Blackwell Embedded with 16 GB GDDR7 and 7,680 cores vs NVIDIA RTX PRO 6000 Blackwell Server with 96 GB GDDR7 and 24,064 cores.

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Performance Rating

NVIDIA RTX PRO 6000 Blackwell Server outperforms NVIDIA RTX PRO 4000 Blackwell Embedded by 282.37% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

NVIDIA RTX PRO 4000 Blackwell Embedded

15.0

NVIDIA RTX PRO 4000 Blackwell Embedded

15.0
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

Expert Comparison

RTX PRO 6000 Blackwell Server имеет значительно более мощные характеристики: больше ядер (24064 против 7680), большую память (96 ГБ против 16 ГБ) и гораздо большую пропускную способность (1.79 ТБ/с против 896 ГБ/с). Он также обладает высокой GPU Performance Index (57.5 против 15.0). Однако он требует гораздо больше энергии (600 Вт против 80 Вт). Лучше подходит для серверных задач и интенсивного вычисления. RTX PRO 4000 Blackwell Embedded более экономичный вариант с достаточными характеристиками для меньших нагрузок и задач среднего уровня.

Contents:

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

Memory

Memory Size

16 GB
🔥 +500% 96 ГБ

Memory Type

GDDR7 GDDR7

Memory Bandwidth

896.0 GB/s
🔥 1.79 TB/s

Memory Bus Width

256 бит 512 бит

ML Performance

FP16 (Half Precision)

26.14 TFLOPS
🔥 +382% 126.0 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

26.14 TFLOPS
🔥 +382% 126.0 TFLOPS

FP64 (Double Precision)

0.4085 TFLOPS
🔥 +382% 1.968 TFLOPS

CUDA Cores

7,680
🔥 +213% 24,064

RT Cores

60
🔥 +213% 188

Architecture & Compatibility

GPU Architecture

Blackwell 2.0 Blackwell 2.0

SM (Streaming Multiprocessor)

60
🔥 +213% 188

PCIe Version

PCIe 5.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

12.0 12.0

CUDA Toolkit (first supported)

v12 v12

CUDA Toolkit status

Supported Supported

Clocks & Performance

Base Clock

975
🔥 +63% 1,590

Boost Clock

1,702
🔥 +54% 2,617

Memory Clock

1,750
🔥 1,750

Power Consumption

Recommended PSU

No 1000 W

Power Connector

None 1x 16-pin

TDP/TGP

🔥 -87% 80 W
600 W

Rendering

Texture Units (TMU)

240
🔥 +213% 752

ROP

60
🔥 +213% 188

L2 Cache

64 MB
🔥 +100% 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

IGP Dual-slot

Release Date

No March 18, 2025

Display Outputs

Portable Device Dependent
4x DisplayPort 2.1b

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