NVIDIA GeForce RTX 5090 vs NVIDIA Tesla X2070

Comparison of NVIDIA GeForce RTX 5090 with 32 GB GDDR7 and 21,760 cores vs NVIDIA Tesla X2070 with 6 GB GDDR5 and 448 cores.

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Performance Rating

H200 H200
MI325X MI325X
A100 A100

NVIDIA GeForce RTX 5090

NVIDIA GeForce RTX 5090

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

NVIDIA Tesla X2070

NVIDIA Tesla X2070

Contents:

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

Memory

Memory Size

32 GB 6 GB

Memory Type

GDDR7 GDDR5

Memory Bandwidth

1.79 TB/s 177.4 GB/s

Memory Bus Width

512 бит 384 бит

ML Performance

FP16 (Half Precision)

104.8 TFLOPS No

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

104.8 TFLOPS 1.1657 TFLOPS

FP64 (Double Precision)

1.637 TFLOPS 0.5828 TFLOPS

CUDA Cores

21,760 448

RT Cores

170 No

Architecture & Compatibility

GPU Architecture

Blackwell 2.0 Fermi

SM (Streaming Multiprocessor)

170 14

PCIe Version

PCIe 5.0 x16 MXM-B (3.0)

ML Software Support

CUDA Version

🔥 12.0
2.0

Clocks & Performance

Base Clock

2,017 No

Boost Clock

2,407 No

Memory Clock

1,750 924

Power Consumption

TDP/TGP

575 W
🔥 -61% 225 W

Recommended PSU

950 W
🔥 -42% 550 W

Power Connector

1x 16-pin None

Rendering

Texture Units (TMU)

680 56

ROP

170 No

L2 Cache

96 MB 768 KB

Benchmarks

llama.cpp, llama 7B Q4_0

🔥 +2,110% 315.3 tokens/s
14.3 tokens/s

llama.cpp, llama-2-7b-Q4_0

🔥 +1,818% 273.7 tokens/s
14.3 tokens/s

Geekbench AI, FP16

69 765 points

Geekbench AI, INT8

34 585 points

Geekbench AI, FP32

46 834 points

Additional

Slots

Dual-slot MXM Module

Release Date

Jan. 30, 2025 July 25, 2011

Display Outputs

1x HDMI 2.1b
3x DisplayPort 2.1b
No outputs

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