NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA GeForce RTX 4060

VS

NVIDIA Tesla V100 SXM2 16 GB

NVIDIA GeForce RTX 4060

We compared a Professional market GPU: 16GB VRAM Tesla V100 SXM2 16 GB and a Desktop platform GPU: 8GB VRAM GeForce RTX 4060 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

More VRAM (16GB vs 8GB)

Larger VRAM bandwidth (1133GB/s vs 272.0GB/s)

2048 additional rendering cores

NVIDIA GeForce RTX 4060 's Advantages

Released 3 years and 6 months late

Boost Clock has increased by 54% (2460MHz vs 1597MHz)

Lower TDP (115W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 SXM2 16 GB +8%

16.35 TFLOPS

GeForce RTX 4060

15.11 TFLOPS

Blender

Tesla V100 SXM2 16 GB

2432

GeForce RTX 4060 +38%

3363

OctaneBench

Tesla V100 SXM2 16 GB

354

GeForce RTX 4060

351

Tesla V100 SXM2 16 GB

VS

GeForce RTX 4060

Graphics Card

Nov 2019

Release Date

May 2023

Tesla

Generation

GeForce 40

Professional

Type

Desktop

PCIe 3.0 x16

Bus Interface

PCIe 4.0 x8

Clock Speeds

1245 MHz

Base Clock

1830 MHz

1597 MHz

Boost Clock

2460 MHz

1106 MHz

Memory Clock

2125 MHz

Memory

16GB

Memory Size

8GB

HBM2

Memory Type

GDDR6

4096bit

Memory Bus

128bit

1133GB/s

Bandwidth

272.0GB/s

Render Config

-

80

SM Count

24

5120

Shading Units

3072

320

TMUs

96

128

ROPs

48

640

Tensor Cores

96

-

RT Cores

24

128 KB (per SM)

L1 Cache

128 KB (per SM)

6 MB

L2 Cache

24 MB

-

Theoretical Performance

204.4 GPixel/s

Pixel Rate

118.1 GPixel/s

511.0 GTexel/s

Texture Rate

236.2 GTexel/s

32.71 TFLOPS

FP16 (half)

15.11 TFLOPS

16.35 TFLOPS

FP32 (float)

15.11 TFLOPS

8.177 TFLOPS

FP64 (double)

236.2 GFLOPS

Board Design

250W

TDP

115W

600 W

Suggested PSU

300 W

No outputs

Outputs

1x HDMI 2.1 3x DisplayPort 1.4a

None

Power Connectors

1x 12-pin

Graphics Processor

GV100

GPU Name

AD107

-

GPU Variant

AD107-400-A1

Volta

Architecture

Ada Lovelace

TSMC

Foundry

TSMC

12 nm

Process Size

5 nm

21.1 billion

Transistors

18.9 billion

815 mm²

Die Size

159 mm²

Graphics Features

12 (12_1)

DirectX

12 Ultimate (12_2)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.3

7.0

CUDA

8.9

6.6

Shader Model

6.7

Related GPU Comparisons

1

NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA RTX A500 Embedded

2

NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Quadro P2200

3

NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Quadro P620

4

NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Tesla M4

5

NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Quadro M6000

6

NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Quadro M5500 Mobile

7

NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Tesla M40 24 GB

8

NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA RTX A4 Mobile

9

NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Quadro FX 1700 Mac Edition

10

NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Quadro 500M

Related News

1

AMD Unveils New RX 9070 XT Graphics Card Performance: Positioned Between RX 7900 GRE and RX 7900 XT

2

Double the Excitement! AMD FSR 4.0 to Launch Alongside RX 9070 XT Graphics Card

3

CPU-Z Minor Update: Support for Intel's Four New Products and New Memory

4

CXMT Reportedly Achieves 80% Yield in DDR5 Production

5

Intel Wildcat Lake Appears on Shipping List with FCBGA1516 Socket, Poised to Replace Alder Lake-N

6

The Commencement of ARM and Qualcomm Licensing Dispute Trial: Potential Major Impact on PC Market

7

NVIDIA Allegedly Equips RTX 5080 with 30Gbps Memory Speed, Other Models to Feature 28Gbps

8

Intel Reports High Return Rates for Devices Featuring Snapdragon X Series; Qualcomm Counters with 'Industry Standard' Claim

9

Intel Confirms Panther Lake Adopts 18A Process, ES0 Samples Already Sent to Customers

10

Complete Lineup of Core Ultra 200HX/H/U and Core 200H/U Revealed: 31 Models to Dazzle the Eyes