NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Tesla S2050

VS

NVIDIA Tesla V100 SXM2 16 GB

NVIDIA Tesla S2050

We compared two Professional market GPUs: 16GB VRAM Tesla V100 SXM2 16 GB and 3GB VRAM Tesla S2050 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 V100 SXM2 16 GB +1490%

16.35 TFLOPS

Tesla S2050

1.028 TFLOPS

Tesla V100 SXM2 16 GB

VS

Tesla S2050

Graphics Card

Nov 2019

Release Date

Jul 2011

Tesla

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

1245 MHz

Base Clock

-

1597 MHz

Boost Clock

-

1106 MHz

Memory Clock

773 MHz

Memory

16GB

Memory Size

3GB

HBM2

Memory Type

GDDR5

4096bit

Memory Bus

384bit

1133GB/s

Bandwidth

148.4GB/s

Render Config

-

80

SM Count

14

5120

Shading Units

448

320

TMUs

56

128

ROPs

48

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

64 KB (per SM)

6 MB

L2 Cache

768 KB

-

Theoretical Performance

204.4 GPixel/s

Pixel Rate

16.07 GPixel/s

511.0 GTexel/s

Texture Rate

32.14 GTexel/s

32.71 TFLOPS

FP16 (half)

-

16.35 TFLOPS

FP32 (float)

1028 GFLOPS

8.177 TFLOPS

FP64 (double)

513.9 GFLOPS

Board Design

250W

TDP

900W

600 W

Suggested PSU

1300 W

No outputs

Outputs

No outputs

None

Power Connectors

-

Graphics Processor

GV100

GPU Name

GF100

-

Volta

Architecture

Fermi

TSMC

Foundry

TSMC

12 nm

Process Size

40 nm

21.1 billion

Transistors

3.1 billion

815 mm²

Die Size

529 mm²

Graphics Features

12 (12_1)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

1.1

1.3

Vulkan

N/A

7.0

CUDA

2.0

6.6

Shader Model

5.1

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