NVIDIA RTX PRO 6000 Blackwell Server vs PNY XLR8 GTX 1660 SUPER Dual Fan OC

Comparison of NVIDIA RTX PRO 6000 Blackwell Server with 96 GB GDDR7 and 24,064 cores vs PNY XLR8 GTX 1660 SUPER Dual Fan OC with 6 GB GDDR6 and 1,408 cores.

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Performance Rating

A100 A100
H200 H200
MI325X MI325X

NVIDIA RTX PRO 6000 Blackwell Server

NVIDIA RTX PRO 6000 Blackwell Server

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

PNY XLR8 GTX 1660 SUPER Dual Fan OC

4.2

PNY XLR8 GTX 1660 SUPER Dual Fan OC

4.2

Contents:

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

Memory

Memory Size

96 GB 6 ГБ

Memory Type

GDDR7 GDDR6

Memory Bandwidth

1.79 TB/s 336.0 GB/s

Memory Bus Width

512 бит 192 бит

ML Performance

FP16 (Half Precision)

126.0 TFLOPS 10.31 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

126.0 TFLOPS 5.153 TFLOPS

FP64 (Double Precision)

1.968 TFLOPS 0.161 TFLOPS

CUDA Cores

24,064 1,408

RT Cores

188 No

Architecture & Compatibility

GPU Architecture

Blackwell 2.0 Turing

SM (Streaming Multiprocessor)

188 22

PCIe Version

PCIe 5.0 x16 PCIe 3.0 x16

ML Software Support

CUDA Version

🔥 12.0
7.5

Clocks & Performance

Base Clock

1,590 1,530

Boost Clock

2,617 1,830

Memory Clock

1,750 1,750

Power Consumption

TDP/TGP

600 W
🔥 -79% 125 W

Recommended PSU

1000 W
🔥 -70% 300 W

Power Connector

1x 16-pin 1x 8-pin

Rendering

Texture Units (TMU)

752 88

ROP

188 No

L2 Cache

128 MB 1536 KB

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

March 18, 2025 Oct. 29, 2019

Display Outputs

4x DisplayPort 2.1b
1x DVI
1x HDMI 2.0
1x DisplayPort 1.4a

Renting is cheaper than buying