NVIDIA Tesla S2050 vs NVIDIA Tesla V100 SXM2 16 GB

VS

NVIDIA Tesla S2050

NVIDIA Tesla V100 SXM2 16 GB

We compared two Professional market GPUs: 3GB VRAM Tesla S2050 and 16GB VRAM Tesla V100 SXM2 16 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 SXM2 16 GB 's Advantages

Released 8 years and 4 months late

Boost Clock1597MHz

More VRAM (16GB vs 3GB)

Larger VRAM bandwidth (1133GB/s vs 148.4GB/s)

4672 additional rendering cores

Lower TDP (250W vs 900W)

Score

Benchmark

FP32 (float)

Tesla S2050

1.028 TFLOPS

Tesla V100 SXM2 16 GB +1490%

16.35 TFLOPS

Tesla S2050

VS

Tesla V100 SXM2 16 GB

Graphics Card

Jul 2011

Release Date

Nov 2019

Tesla

Generation

Tesla

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

1245 MHz

-

Boost Clock

1597 MHz

773 MHz

Memory Clock

1106 MHz

Memory

3GB

Memory Size

16GB

GDDR5

Memory Type

HBM2

384bit

Memory Bus

4096bit

148.4GB/s

Bandwidth

1133GB/s

Render Config

-

14

SM Count

80

448

Shading Units

5120

56

TMUs

320

48

ROPs

128

-

Tensor Cores

640

-

64 KB (per SM)

L1 Cache

128 KB (per SM)

768 KB

L2 Cache

6 MB

-

Theoretical Performance

16.07 GPixel/s

Pixel Rate

204.4 GPixel/s

32.14 GTexel/s

Texture Rate

511.0 GTexel/s

-

FP16 (half)

32.71 TFLOPS

1028 GFLOPS

FP32 (float)

16.35 TFLOPS

513.9 GFLOPS

FP64 (double)

8.177 TFLOPS

Board Design

900W

TDP

250W

1300 W

Suggested PSU

600 W

No outputs

Outputs

No outputs

-

Power Connectors

None

Graphics Processor

GF100

GPU Name

GV100

-

Fermi

Architecture

Volta

TSMC

Foundry

TSMC

40 nm

Process Size

12 nm

3.1 billion

Transistors

21.1 billion

529 mm²

Die Size

815 mm²

Graphics Features

12 (11_0)

DirectX

12 (12_1)

4.6

OpenGL

4.6

1.1

OpenCL

3.0

N/A

Vulkan

1.3

2.0

CUDA

7.0

5.1

Shader Model

6.6

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