NVIDIA Tesla C2090 vs AMD Radeon Instinct MI300

VS

NVIDIA Tesla C2090

AMD Radeon Instinct MI300

We compared two Professional market GPUs: 6GB VRAM Tesla C2090 and 128GB VRAM Radeon Instinct MI300 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla C2090 's Advantages

Lower TDP (250W vs 600W)

AMD Radeon Instinct MI300 's Advantages

Released 11 years and 6 months late

Boost Clock1700MHz

More VRAM (128GB vs 6GB)

Larger VRAM bandwidth (3277GB/s vs 177.4GB/s)

13568 additional rendering cores

Score

Benchmark

FP32 (float)

Tesla C2090

1.332 TFLOPS

Radeon Instinct MI300 +3493%

47.87 TFLOPS

Tesla C2090

VS

Radeon Instinct MI300

Graphics Card

Jul 2011

Release Date

Jan 2023

Tesla

Generation

Radeon Instinct

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 5.0 x16

Clock Speeds

-

Base Clock

1000 MHz

-

Boost Clock

1700 MHz

924 MHz

Memory Clock

1600 MHz

Memory

6GB

Memory Size

128GB

GDDR5

Memory Type

HBM3

384bit

Memory Bus

8192bit

177.4GB/s

Bandwidth

3277GB/s

Render Config

-

Compute Units

220

16

SM Count

-

512

Shading Units

14080

64

TMUs

880

48

ROPs

0

-

Tensor Cores

880

-

64 KB (per SM)

L1 Cache

16 KB (per CU)

768 KB

L2 Cache

16 MB

-

Theoretical Performance

20.83 GPixel/s

Pixel Rate

0 MPixel/s

41.66 GTexel/s

Texture Rate

1496 GTexel/s

-

FP16 (half)

383.0 TFLOPS

1332 GFLOPS

FP32 (float)

47.87 TFLOPS

666.1 GFLOPS

FP64 (double)

47.87 TFLOPS

Board Design

250W

TDP

600W

600 W

Suggested PSU

1000 W

No outputs

Outputs

No outputs

-

Power Connectors

2x 8-pin

Graphics Processor

GF110

GPU Name

Aqua Vanjaram

-

Fermi 2.0

Architecture

CDNA 3.0

TSMC

Foundry

TSMC

40 nm

Process Size

5 nm

3 billion

Transistors

153 billion

520 mm²

Die Size

1017 mm²

Graphics Features

12 (11_0)

DirectX

N/A

4.6

OpenGL

N/A

1.1

OpenCL

3.0

N/A

Vulkan

N/A

2.0

CUDA

-

5.1

Shader Model

N/A

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