NVIDIA Tesla C2050 vs AMD Instinct MI300X

VS

NVIDIA Tesla C2050

AMD Instinct MI300X

We compared two Professional market GPUs: 3GB VRAM Tesla C2050 and 192GB VRAM AMD Instinct MI300X to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla C2050 's Advantages

Lower TDP (238W vs 750W)

AMD Instinct MI300X 's Advantages

Released 12 years and 5 months late

Boost Clock2100MHz

More VRAM (192GB vs 3GB)

Larger VRAM bandwidth (5300GB/s vs 144.0GB/s)

19008 additional rendering cores

Score

Benchmark

FP32 (float)

Tesla C2050

1.028 TFLOPS

AMD Instinct MI300X +15794%

163.4 TFLOPS

Tesla C2050

VS

AMD Instinct MI300X

Graphics Card

Jul 2011

Release Date

Dec 2023

Tesla

Generation

Instinct

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 5.0 x16

Clock Speeds

-

Base Clock

1000 MHz

-

Boost Clock

2100 MHz

750 MHz

Memory Clock

5200 MHz

Memory

3GB

Memory Size

192GB

GDDR5

Memory Type

HBM3

384bit

Memory Bus

8192bit

144.0GB/s

Bandwidth

5300GB/s

Render Config

-

Compute Units

304

14

SM Count

-

448

Shading Units

19456

56

TMUs

880

48

ROPs

0

-

64 KB (per SM)

L1 Cache

16 KB (per CU)

768 KB

L2 Cache

16 MB

-

Theoretical Performance

16.07 GPixel/s

Pixel Rate

0 MPixel/s

32.14 GTexel/s

Texture Rate

1496 GTexel/s

-

FP16 (half)

1300 TFLOPS

1028 GFLOPS

FP32 (float)

163.4 TFLOPS

513.9 GFLOPS

FP64 (double)

81.7 TFLOPS

Board Design

238W

TDP

750W

550 W

Suggested PSU

1000 W

1x DVI

Outputs

No outputs

1x 6-pin + 1x 8-pin

Power Connectors

None

Graphics Processor

GF100

GPU Name

MI300

GF100-850-A3

GPU Variant

-

Fermi

Architecture

CDNA 3.0

TSMC

Foundry

TSMC

40 nm

Process Size

5 nm

3.1 billion

Transistors

146 billion

529 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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