NVIDIA Tesla V100 vs NVIDIA RTX 3080
NVIDIA RTX 2080 Ti
NVIDIA Titan RTX
NVIDIA Quadro RTX 6000
NVIDIA Quadro RTX 8000
NVIDIA GTX 1080 Ti
NVIDIA Titan V
NVIDIA Tesla V100
NVIDIA GTX 780
NVIDIA GTX 780 Ti
NVIDIA GTX 960
NVIDIA GTX 980
NVIDIA GTX 980 Ti
NVIDIA GTX 1050
NVIDIA GTX 1050 Ti
NVIDIA GTX 1060
NVIDIA GTX 1070
NVIDIA GTX 1070 Ti
NVIDIA GTX 1080
NVIDIA GTX 1650
NVIDIA GTX 1660
NVIDIA GTX 1660 Ti
NVIDIA RTX 2060
NVIDIA RTX 2060 Super
NVIDIA RTX 2070
NVIDIA RTX 2070 Super
NVIDIA RTX 2080
NVIDIA RTX 2080 Super
NVIDIA Titan Xp
NVIDIA Quadro M6000
NVIDIA Quadro P1000
NVIDIA Quadro P2000
NVIDIA Quadro P4000
NVIDIA Quadro P5000
NVIDIA Quadro P6000
NVIDIA Quadro GP100
NVIDIA Quadro GV100
NVIDIA Quadro RTX 4000
NVIDIA Quadro RTX 5000
NVIDIA RTX 3070
NVIDIA RTX 3080
NVIDIA RTX 3090
NVIDIA RTX A6000
NVIDIA RTX 3060
NVIDIA RTX 3060 Ti
NVIDIA A100 40 GB (PCIe)
NVIDIA A40
NVIDIA A10
NVIDIA A16
NVIDIA A30
NVIDIA RTX A4000
NVIDIA RTX A5000
NVIDIA RTX 3070 Ti
NVIDIA RTX 3080 Ti
NVIDIA A100 80 GB (PCIe)
NVIDIA A100 80 GB (SXM4)
NVIDIA RTX A4500
NVIDIA T400
NVIDIA T600
NVIDIA T1000
NVIDIA RTX A5500
NVIDIA RTX A2000
NVIDIA H100 (PCIe)
NVIDIA H100 (SXM5)
NVIDIA H100 CNX
NVIDIA RTX 3090 Ti
NVIDIA RTX 4090
NVIDIA RTX 4080
NVIDIA RTX 4070 Ti
NVIDIA RTX 6000 Ada
NVIDIA L40
NVIDIA RTX 4090 Ti (Unreleased)
NVIDIA RTX 4000 SFF Ada
NVIDIA RTX 4070
NVIDIA L40s
NVIDIA RTX 4000 Ada
NVIDIA RTX 4500 Ada
NVIDIA RTX 5000 Ada
NVIDIA A800 40 GB (PCIe)
NVIDIA A800 40 GB Active
NVIDIA H200 (SXM5)
NVIDIA GH200
NVIDIA L4
NVIDIA B200 (SXM)
NVIDIA RTX 5090 (Unreleased)
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Quick links:
Best GPUs for deep learning, AI development, compute in 2023–2024. Recommended GPU & hardware for AI training, inference (LLMs, generative AI).
GPU training, inference benchmarks using PyTorch, TensorFlow for computer vision (CV), NLP, text-to-speech, etc.
We benchmark these GPUs and compare AI performance (deep learning training; FP16, FP32, PyTorch, TensorFlow), 3d rendering, Cryo-EM performance in the most popular apps (Octane, VRay, Redshift, Blender, Luxmark, Unreal Engine, Relion Cryo-EM).
Our benchmarks will help you decide which GPU (NVIDIA RTX 4090/4080, H100 Hopper, H200, A100, RTX 6000 Ada, A6000, A5000, or RTX 6000 ADA Lovelace) is the best GPU for your needs. We provide an in-depth analysis of the AI performance of each graphic card's performance so you can make the most informed decision possible. We offer deep learning and 3d rendering benchmarks that will help you get the most out of your hardware.
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Featured GPU benchmarks:
Deep Learning GPU Benchmarks 2023–2024 [Updated]
Resnet50 (FP16)
4 GPU
NVIDIA Tesla V100
2309.02
Resnet50 (FP16 XLA)
1 GPU
NVIDIA Tesla V100
1071.32
4 GPU
NVIDIA Tesla V100
3562.89
Resnet50 (FP32)
4 GPU
NVIDIA Tesla V100
1141.56
Resnet50 (FP32 XLA)
4 GPU
NVIDIA Tesla V100
1202.04
Inception V3 (FP16)
4 GPU
NVIDIA Tesla V100
1490.05
Inception V3 (FP16 XLA)
4 GPU
NVIDIA Tesla V100
2121.59
Inception V4 (FP16 XLA)
4 GPU
NVIDIA Tesla V100
1142.94
3D, GPU Rendering Benchmarks 2023–2024 [Updated]
Blender
1 GPU
NVIDIA Tesla V100
2075.51
RELION Cryo-EM Benchmarks 2023-2024 [Updated]
BERT LARGE Training, Inference Benchmark 2023-2024 [Updated]
Llama3 70B Inference Benchmark 2024 [Updated]
Board Design
NVIDIA Tesla V100
NVIDIA RTX 3080
Length
267 mm
285 mm
Outputs
No outputs
1x HDMI, 3x DisplayPort
Power Connectors
2x 8-pin
2x 8-pin
Slot width
Dual-slot
Dual-slot
TDP
250 W
320 W
Clock Speeds
NVIDIA Tesla V100
NVIDIA RTX 3080
Boost Clock
1380 MHz
1710 MHz
GPU Clock
1230 MHz
1440 MHz
Memory Clock
1752 MHz
19000 MHz
Graphics Card
NVIDIA Tesla V100
NVIDIA RTX 3080
Bus Interface
PCIe 3.0 x16
PCIe 4.0 x16
Generation
Tesla (Vxx)
GeForce 30
Graphics Features
NVIDIA Tesla V100
NVIDIA RTX 3080
DirectX
12 Ultimate (12_1)
12 Ultimate (12_2)
OpenCL
1.2
3.0
OpenGL
4.6
4.6
Shader Model
6.4
6.6
CUDA
7.0
8.6
Graphics Processor
NVIDIA Tesla V100
NVIDIA RTX 3080
Architecture
Volta
Ampere
Die Size
815 mm2
627 mm2
GPU Name
GV100
GA102-200-K1-A1
Process Size
12 nm
8 nm
Transistors
21100 million
28000 million
Memory
NVIDIA Tesla V100
NVIDIA RTX 3080
Bandwidth
897 GB/s
760 GB/s
Memory Bus
4096 bit
320 bit
Memory Size
32 GB
10 GB
Memory Type
HBM2
GDDR6X
Render Config
NVIDIA Tesla V100
NVIDIA RTX 3080
ROPs
128
88
Shading Units/ CUDA Cores
5120
8704
TMUs
320
272
Tensor Cores
640
272
RT Cores
68
Theoretical Performance
NVIDIA Tesla V100
NVIDIA RTX 3080
FP16 (half) performance
28.26 TFLOPS
59.54 TFLOPS
FP32 (float) performance
14.13 TFLOPS
29.77 TFLOPS
FP64 (double) performance
7066 GFLOPS
930.2 GFLOPS
Pixel Rate
176.6 GPixel/s
150.5 GPixel/s
Texture Rate
441.6 GTexel/s
465.1 GTexel/s
Price
NVIDIA Tesla V100
NVIDIA RTX 3080
MSRP
11459 $
699 $
Release Date
Mar 27th, 2018
Sep 1st, 2020
Test bench configuration
NVIDIA Tesla V100
NVIDIA RTX 3080
Hardware
BIZON X5000 More details
BIZON X5000 More details
Software
Deep learning:
Nvidia Driver: 440
CUDA: 10.1
TensorFlow: 1.14
Batch size: 64
3D Rendering:
Nvidia Driver: 442.19
VRay Benchmark: 4.10.3
Octane Benchmark: 4.00
Redshift Benchmark: 3.0.x
Blender: 2.81
Luxmark: 3.1
3D Rendering:
Nvidia Driver: 456.38
VRay Benchmark: 5
Octane Benchmark: 2020.1.5
Redshift Benchmark: 3.0.28 Demo
Blender: 2.90
Luxmark: 3.1
Recommended hardware
NVIDIA Tesla V100
NVIDIA RTX 3080
Best GPU workstations
BIZON X5500