Quick Selection for GPU Rental & Server Hosting
| GPU Model | Launch Time | VRAM | CUDA / Tensor Cores | Architecture | vGPU Support | NVLink | Best Use Cases | GPU Type | Recommended | Rent GPU Server |
|---|---|---|---|---|---|---|---|---|---|---|
| GT 730 | 2014 | 2GB | 384 / β | Kepler | No | No | Office use, light gaming, development, streaming | Desktop | Rent GT 730 | |
| P600 | 2017 | 2GB | 384 / β | Pascal | No | No | Light CAD, UI rendering, gaming, development, streaming | Workstation | Rent Quadro P600 | |
| P1000 | 2017 | 4GB | 640 / β | Pascal | No | No | Light CAD modeling, rendering, gaming, development, streaming | Workstation | Rent Quadro P1000 | |
| T1000 | 2020 | 4GB | 896 / β | Turing | No | No | Video processing, light rendering, streaming | Workstation | Rent Quadro T1000 | |
| GTX 1650 | 2019 | 4GB | 896 / β | Turing | No | No | Streaming, encoding, basic video editing, gaming | Desktop | β | Rent GTX 1650 |
| GTX 1660 | 2019 | 6GB | 1408 / β | Turing | No | No | Small rendering, ML inference, 1080p editing, gaming, streaming | Desktop | β | Rent GTX 1660 |
| RTX 2060 | 2019 | 6GB | 1920 / 240 | Turing | No | No | Real-time rendering, streaming, gaming | Desktop | Rent RTX 2060 | |
| RTX 3060 Ti | 2020 | 8GB | 4864 / 152 | Ampere | No | No | Light AI inference, Stable Diffusion, rendering | Desktop | Rent RTX 3060 Ti | |
| RTX 4060 | 2023 | 8GB | 3072 / 96 | Ada Lovelace | No | No | AI inference, Stable Diffusion, streaming, editing, gaming | Desktop | β | Rent RTX 4060 |
| RTX 5060 | 2024 | 8GB | ~4608 / ~144 | Blackwell | No | No | Mid-tier AI inference, rendering, light AI training, gaming | Desktop | β | Rent RTX 5060 |
| RTX A4000 | 2021 | 16GB | 6144 / 192 | Ampere | Yes | No | Professional rendering, AI inference, 4Kβ6K editing | Workstation | β | Rent RTX A4000 |
| RTX Pro 2000 | 2023 | 16GB | ~4608 / ~144 | Ada | Yes | No | CAD + AI inference, professional video workflows | Workstation | β β β | Rent RTX Pro 2000 |
| RTX A5000 | 2021 | 24GB | 8192 / 256 | Ampere | Yes | Yes | AI training, LLM fine-tuning, heavy rendering | Workstation | Rent RTX A5000 | |
| RTX Pro 4000 | 2023 | 20GB | ~7680 / ~240 | Ada | Yes | No | AI training, production rendering | Workstation | β β β β | Rent RTX Pro 4000 |
| RTX A6000 | 2020 | 48GB | 10752 / 336 | Ampere | Yes | Yes | LLM inference & training, multi-GPU AI, large scenes | Workstation | β β β | Rent RTX A6000 |
| RTX Pro 5000 | 2024 | 32GB | ~9728 / ~304 | Ada | Yes | No | AI training, heavy video workloads | Workstation | β β β | Rent RTX Pro 5000 |
| RTX Pro 6000 | 2024 | 48GB | ~18176 / ~568 | Ada | Yes | No | Large-scale AI, LLM training, rendering | Workstation | β β β | Rent RTX Pro 6000 |
| RTX 4090 | 2022 | 24GB | 16384 / 512 | Ada Lovelace | No | No | High-performance AI training, SD, LLM fine-tuning | Desktop | β | Rent RTX 4090 |
| RTX 5090 | 2025 | 32GB | ~21760 / ~680 | Blackwell | No | No | High-end AI training, large LLMs, advanced rendering | Desktop | β β | Rent RTX 5090 |
| K80 | 2014 | 24GB | 4992 / β | Kepler | No | No | Legacy HPC, deprecated ML frameworks | Datacenter | Rent Tesla K80 | |
| P100 | 2016 | 16GB | 3584 / β | Pascal | Yes | Yes | HPC compute, legacy AI training | Datacenter | Rent Tesla P100 | |
| V100 | 2017 | 16β32GB | 5120 / 640 | Volta | Yes | Yes | AI training, HPC workloads, enterprise ML | Datacenter | Rent V100 | |
| A40 | 2021 | 48GB | 10752 / 336 | Ampere | Yes | No | Large-scale inference, VDI, AI services | Datacenter | β | Rent A40 |
| A100 | 2020 | 40β80GB | 6912 / 432 | Ampere | Yes | Yes | LLM training, HPC, multi-node AI workloads | Datacenter | β β | Rent A100 |
| H100 | 2022 | 80GB | 16896 / 528 | Hopper | Yes | Yes | Foundation models, large-scale LLM training | Datacenter | β β | Rent H100 |
VRAM: Determines the data and model size a GPU can handle, essential for AI, rendering, and video tasks.
CUDA / Tensor Cores: CUDA cores handle general GPU computing; Tensor Cores boost AI and deep learning performance.
FP32 Performance (TFLOPS): Measures single-precision compute speed, critical for AI training, simulations, and rendering.
vGPU Support: Allows virtualization, enabling shared GPU use in cloud or multi-user environments.
NVLink Support: Enables high-speed multi-GPU interconnect for large AI models or rendering workloads.
Recommended GPUs: Starred GPUs (β ) balance performance and value. β β /β β β are ideal for professional AI or rendering, β β β β for enterprise-scale workloads.
Easily rent 4090, rent 5090, rent A100, rent H100, or any GPU rent GPU online for AI, LLM inference, rendering, and more.
Benefits of Renting GPU Servers with Us
AI Model Training & Inference
Top Tier: H100, A100 (80GB), RTX Pro 6000, RTX A6000
Mid Tier: RTX A5000, RTX Pro 5000, RTX 4090, RTX 5090
Entry Tier: RTX A4000, RTX Pro 4000
Why These GPUs:
High VRAM and Tensor Core performance enable efficient AI training and inference. RTX GPUs excel in multi-GPU stability, while Pro GPUs provide cost-effective single-card power.
Typical Workloads:
LLM Pre-training & Fine-tuning (7Bβ70B+ parameters), Deep Learning Research & Multi-task AI, AI Model Serving & Inference, Generative AI / Image Generation.
AI Image Generation
Top Tier: RTX 5090, RTX 4090, Pro 6000
Mid Tier: RTX A5000, Pro 2000, Pro 4000
Entry Tier: RTX 5060, RTX 4060, RTX 3060 Ti
Why These GPUs:
AI image generation relies heavily on VRAM capacity and Tensor Core performance. Higher VRAM enables high-resolution images and larger batch sizes, while stronger compute throughput significantly reduces generation time for diffusion models.
Typical Workloads:
Text-to-Image Generation, Image-to-Image & Style Transfer, High-Resolution Image Rendering, Batch Image Generation using Stable Diffusion, SD WebUI, and ComfyUI.
3D Rendering & Streaming
Top Tier: RTX 5090, RTX 4090, RTX A6000
Mid Tier: RTX A5000, RTX 5060
Entry Tier: RTX 1650, 1660, RTX 4060
Why These GPUs:
Higher 3D rendering scores correlate with more CUDA/RT cores and bigger VRAM for complex scenes, while stronger streaming efficiency (NVENC/AV1) boosts real-time encoding capability. Top-tier GPUs deliver the best balance of rendering power and streaming throughput for professional
Typical Workloads:
Real-time 3D visualization, high-resolution GPU rendering (Blender/Octane), live game/video streaming with hardware encoding, and interactive design review or virtual production tasks.
FAQ of GPU Rental Hosting
What is your GPU rental?
Is your GPU shared on the VPS?
Do you support hourly billing for GPU Rental?
What operating systems does GPU server support?
Can I customize your GPU server?
What makes your GPU rental services better than other cloud GPU or traditional providers?
What is your company's background and history?
Why are your hosting services cheaper than other hosting providers?
Will your GPU rental plans include more GPU models in the future?
How do I choose between renting a 4090, 5090, A100, or H100 GPU?















