Compare GPU Performance – Find the Right GPU Server for Your Needs
Our GPU servers power a wide range of applications, including AI and machine learning, high-performance computing (HPC), 3D rendering and visualization, and cloud gaming. With 20+ GPU models available, we provide solutions tailored to diverse workloads, from deep learning and big data processing to video editing and virtualization. Below is a comparison of key GPU specifications to help you select the best option for your needs.
GPU Specification Comparison Table
| Model | Type | Launch Time | Architecture | CUDA Cores | Tensor Cores | GPU VRAM | vGPU Support | NVLink Support | FP32 Performance | Power Consumption |
|---|---|---|---|---|---|---|---|---|---|---|
| GT 710 | Desktop | Mar. 2014 | Kepler | 192 | No | 2GB DDR3 | No | No | 0.3 TFLOPS | 19W |
| GT 730 | Desktop | Jun. 2014 | Kepler | 384 | No | 2GB DDR3 | No | No | 0.7 TFLOPS | 25W |
| GTX 1060 | Desktop | Dec. 2016 | Pascal | 1152 | No | 6GB GDDR5 | No | No | 3.9 TFLOPS | 120W |
| GTX 1080 | Desktop | May. 2016 | Pascal | 25604 | No | 8GB GDDR5X | No | No | 8.9 TFLOPS | 180W |
| GTX 1650 | Desktop | Apr. 2019 | Turing | 896 | No | 4GB GDDR6 | No | No | 3.0 TFLOPS | 75W |
| GTX 1660 | Desktop | Mar. 2019 | Turing | 1408 | No | 6GB GDDR6 | No | No | 5.0 TFLOPS | 120W |
| RTX 2060 | Desktop | Jan. 2019 | Turing | 1920 | 240 | 6GB GDDR6 | No | No | 6.5 TFLOPS | 160W |
| RTX 2080 | Desktop | Sep. 2018 | Turing | 2944 | 368 | 8GB GDDR6 | No | Yes | 10.1 TFLOPS | 215W |
| RTX 3050 | Desktop | Feb. 2024 | Ampere | 2304 | 72 | 8GB GDDR6 | No | No | 6.8 TFLOPS | 70W |
| RTX 3060 | Desktop | Feb. 2021 | Ampere | 3584 | 112 | 12GB GDDR6 | No | No | 12.7 TFLOPS | 170W |
| RTX 3060 TI | Desktop | Dec. 2020 | Ampere | 4864 | 152 | 8GB GDDR6 | No | No | 16.2 TFLOPS | 200W |
| RTX 3090 | Desktop | Sep. 2020 | Ampere | 10496 | 328 | 24GB GDDR6X | No | Yes | 35.6 TFLOPS | 350W |
| RTX 4060 | Desktop | Jun 2023 | Ada Lovelace | 3072 | 96 | 8GB GDDR6 | No | No | 15.1 TFLOPS | 115W |
| RTX 4060 TI | Desktop | May 2023 | Ada Lovelace | 4351 | 136 | 8GB GDDR6 | No | No | 20.1 TFLOPS | 160W |
| RTX 4080 | Desktop | Nov. 2022 | Ada Lovelace | 9728 | 304 | 16GB GDDR6X | No | No | 48.8 TFLOPS | 320W |
| RTX 4090 | Desktop | Oct. 2022 | Ada Lovelace | 16384 | 512 | 24GB GDDR6X | No | Yes | 82.6 TFLOPS | 450W |
| RTX 5060 | Desktop | May 2025 | Blackwell | 3840 | 120 | 8GB GDDR7 | No | No | 19.2 TFLOPS | 145W |
| RTX 5090 | Desktop | May 2025 | Blackwell | 21760 | 680 | 32GB GDDR7 | No | No | 104.8 TFLOPS | 575W |
| Quadro K620 | Workstation | Jul. 2014 | Maxwell (1st Gen) | 384 | No | 2GB GDDR5 | No | No | 0.77 TFLOPS | 45W |
| Quadro K1200 | Workstation | Jan. 2015 | Maxwell (1st Gen) | 512 | No | 4GB GDDR5 | No | No | 1.08 TFLOPS | 45W |
| Quadro K2200 | Workstation | Jul. 2014 | Maxwell (1st Gen) | 640 | No | 4GB GDDR5 | No | No | 1.34 TFLOPS | 68W |
| Quadro K4000 | Workstation | Mar. 2013 | Kepler | 768 | No | 3GB GDDR5 | No | No | 2.17 TFLOPS | 80W |
| Quadro M2000 | Workstation | Apr. 2016 | Maxwell (2nd Gen) | 768 | No | 4GB GDDR5 | No | No | 1.8 TFLOPS | 75W |
| Quadro M4000 | Workstation | Jun. 2015 | Maxwell (2nd Gen) | 2048 | No | 8GB GDDR5 | No | No | 4.3 TFLOPS | 150W |
| Quadro M6000 | Workstation | Mar. 2015 | Maxwell (2nd Gen) | 3072 | No | 24GB GDDR5 | No | No | 6.1 TFLOPS | 250W |
| Quadro P600 | Workstation | Feb. 2017 | Pascal | 384 | No | 2GB GDDR5 | No | No | 1.2 TFLOPS | 40W |
| Quadro P620 | Workstation | Feb. 2018 | Pascal | 512 | No | 2GB GDDR5 | No | No | 1.5 TFLOPS | 40W |
| Quadro P1000 | Workstation | Feb. 2017 | Pascal | 640 | No | 4GB GDDR5 | No | No | 1.9 TFLOPS | 47W |
| Quadro T1000 | Workstation | May 2021 | Turing | 896 | No | 8GB GDDR6 | No | No | 2.5 TFLOPS | 50W |
| Quadro P4000 | Workstation | Feb. 2017 | Pascal | 1792 | No | 8GB GDDR5 | No | No | 5.3 TFLOPS | 105W |
| Quadro P5000 | Workstation | Oct. 2016 | Pascal | 1792 | No | 16GB GDDR5X | No | No | 8.9 TFLOPS | 180W |
| RTX A400 | Workstation | Apr. 2024 | Ampere | 768 | 24 | 4GB GDDR6 | No | No | 2.7 TFLOPS | 50W |
| RTX A1000 | Workstation | Apr. 2024 | Ampere | 2304 | 72 | 6GB GDDR6 | No | No | 6.8 TFLOPS | 50W |
| RTX A4000 | Workstation | Apr. 2021 | Ampere | 6144 | 192 | 16GB GDDR6 | Yes | No | 19.2 TFLOPS | 140W |
| RTX A5000 | Workstation | Apr. 2021 | Ampere | 8192 | 256 | 24GB GDDR6 | Yes | Yes | 27.8 TFLOPS | 230W |
| RTX A5500 | Workstation | Mar. 2022 | Ampere | 10240 | 320 | 24GB GDDR6 | Yes | No | 34.1 TFLOPS | 230W |
| RTX A6000 | Workstation | Apr. 2021 | Ampere | 10752 | 336 | 48GB GDDR6 | Yes | Yes | 38.7 TFLOPS | 300W |
| RTX Pro 2000 | Workstation | Aug. 2018 | Turing | 1024 | 128 | 4 GB GDDR5 | Yes | No | 3.0 TFLOPS | 75W |
| RTX Pro 4000 | Workstation | Mar. 2025 | Blackwell | 8960 | 280 | 24GB GDDR7 | Yes | No | 46.9 TFLOPS | 140W |
| RTX Pro 4500 | Workstation | Mar. 2025 | Blackwell | 10496 | 328 | 32GB GDDR7 | Yes | No | 54.9 TFLOPS | 200W |
| RTX Pro 5000 | Workstation | Mar. 2025 | Blackwell | 14080 | 440 | 48GB GDDR7 | Yes | No | 73.7 TFLOPS | 300W |
| RTX Pro 6000 | Workstation | Mar. 2025 | Blackwell | 24064 | 752 | 96GB GDDR7 | Yes | Yes | 110 TFLOPS | 600W |
| Tesla K40 | Datacenter | Oct. 2013 | Kepler | 2880 | No | 12GB GDDR5 | No | No | 5.0 TFLOPS | 235W |
| Tesla M40 | Datacenter | Nov. 2015 | Maxwell | 3072 | No | 24GB GDDR5 | No | No | 8.7 TFLOPS | 235W |
| Tesla K80 | Datacenter | Nov. 2014 | Kepler | 4992 | No | 24GB GDDR5 | No | Yes | 6.8 TFLOPS | 300W |
| Tesla P40 | Datacenter | Sep. 2016 | Pascal | 3840 | No | 24GB GDDR5 | No | No | 11.8 TFLOPS | 250W |
| Tesla P100 | Datacenter | Jun. 2016 | Pascal | 3584 | No | 16GB HBM2 | Yes | Yes | 9.3 TFLOPS | 250W |
| Tesla V100 | Datacenter | Jun. 2017 | Volta | 5120 | 640 | 16GB HBM2 | Yes | Yes | 13.2 TFLOPS | 250W |
| Tesla T4 | Datacenter | Sep. 2018 | Turing | 2560 | 320 | 16GB GDDR6 | Yes | No | 8.1 TFLOPS | 70W |
| Tesla A30 | Datacenter | Apr. 2021 | Ampere | 3584 | 224 | 24GB HBM2 | Yes | Yes | 10.3 TFLOPS | 250W |
| Tesla A40 | Datacenter | Oct. 2020 | Ampere | 10752 | 336 | 48GB GDDR6 | Yes | Yes | 37.4 TFLOPS | 300W |
| Tesla A100 | Datacenter | May. 2020 | Ampere | 6912 | 432 | 40GB HBM2e | Yes | Yes | 19.5 TFLOPS | 250W |
| Tesla H100 | Datacenter | Mar. 2022 | Hopper | 14592 | 456 | 80GB HBM3 | Yes | Yes | 51.2 TFLOPS | 350W |
| Tesla H200 | Datacenter | Nov. 2024 | Hopper | 16896 | 528 | 41GB HBM3e | No | Yes | 60.3 TFLOPS | 600W |
| NVIDIA L4 | Datacenter | Mar. 2023 | Ada Lovelace | 7424 | 528 | 24GB GDDR6 | Yes | No | 30.3 TFLOPS | 72W |
Explanation of Key GPU Parameters
Type: Refers to its main use and target users. GeForce is for gaming and everyday graphics, Quadro/RTX A is for professional work like 3D design and rendering, and Tesla/A/H series is for AI, high-performance computing, and data centers.
Architectuer: Represents the underlying chip design generation of the GPU, impacting performance, power efficiency, AI capabilities, and feature support. Each architecture brings advancements tailored for specific compute needs.
CUDA Cores: Determines parallel processing power, essential for AI training and complex computations.
Tensor Cores: Boosts AI computations and deep learning efficiency, available in NVIDIA’s latest GPUs.
VRAM (Video Memory): Affects handling of large datasets; critical for deep learning and video rendering.
Memory Bandwidth: Impacts data transfer speed between GPU and memory, important for high-performance computing.
FP32 Performance(TFLOPS): Measures floating-point computing power, crucial for machine learning and simulations.
Power Consumption (Wattage): Important for energy efficiency and infrastructure planning.
Custom GPU Server Solutions
Looking for a specific GPU configuration? We offer customizable GPU servers to match your workload needs. Contact us for tailored AI, ML, or HPC solutions.
Email *
Name
Company
Get Personalized Advice on GPU Servers
Other Questions