Rent high-performance
cloud GPUs in seconds.
EasyGPU.dev makes renting GPU compute power simple and accessible. Spin up bare-metal and containerized instances for AI training, LLM inference, and heavy compute workloads—with zero hardware lock-in.
GPU Marketplace Preview
Inspect architectures and compute specifications. Select any card to preview configuration options.
NVIDIA H100 SXM5
Large Scale LLM Pre-training & Mixture-of-Experts
NVIDIA A100 SXM4
LLM Fine-Tuning & High-Throughput vLLM Inference
NVIDIA L40S
Multimodal AI, Diffusion Models & Real-time Serving
NVIDIA RTX 4090
3D Rendering, Blender, Prototyping & Small LLMs
NVIDIA A10G
Cost-Effective Microservices & Speech AI Models
NVIDIA V100
Classical Deep Learning & Academic Research Experiments
* Note: EasyGPU is currently in developer preview. Real hardware inventory and cluster contracts will be enabled at general availability.
How It Works in Three Steps
From discovering capacity to training and serving models in minutes.
Select Architecture & Spec
Find the exact GPU instance tailored for your workload
Filter GPUs by VRAM, compute capability, architecture, and network topology. Whether you need a single RTX 4090 for fast local fine-tuning or an 8x H100 cluster for distributed training, choose your specifications without negotiating custom enterprise minimums.
Deploy Container or SSH Instantly
Boot up pre-configured environments with zero boilerplate
Launch instances running your preferred base stack: PyTorch, CUDA, vLLM, TensorRT-LLM, or custom Docker images. Secure direct SSH access and standard container ports are exposed in seconds.
Pay Only for Usage
Simple, per-minute accounting with no hidden fees
Scale your jobs up and down as your model runs complete. Terminate or snapshot instances anytime. No multi-month lock-in, no surprise egress fees, and full clarity over your compute budget.
Designed for AI & Machine Learning Teams
Skip long-term hyperscaler contracts and hardware procurement delays. Focus on shipping models, not configuring data centers.
Flexible GPU Access
Access GPUs on-demand when your projects need burst capacity. Rent individual cards for fast iterative experiments or launch multi-GPU clusters when it's time to run distributed batch jobs.
Transparent Usage-Based Pricing
Know your exact compute costs in advance. Pure usage-based pricing with second-level metering eliminates surprise auxiliary fees and unpredictable egress charges.
Simple Deployment
Start running code in minutes. Launch with curated deep learning environments, PyTorch and CUDA pre-installed, or deploy directly with Docker and SSH keys ready out of the box.
Scalable Infrastructure
Architected for modern machine learning engineering. Easily resize workloads, automate runs using developer CLI & API endpoints, and orchestrate compute as your models expand.
Built for Modern Compute Demands
From experimental notebooks to mission-critical production pipelines.
LLM Inference & Serving
Host open-weight language models like Llama 3, Mistral, and DeepSeek with optimized FP8/FP16 quantization. Serve high-throughput API endpoints with low latency.
AI Development & Prototyping
Connect directly from your local terminal or IDE via SSH. Prototype experiments, run evaluation scripts, and debug models on dedicated high-performance hardware without heating up your laptop.
Model Training & Fine-Tuning
Fine-tune foundation models on domain-specific datasets. Leverage high-memory GPUs (up to 80GB VRAM) and NVLink interconnects for distributed training workloads.
3D Rendering & Simulation
Accelerate ray tracing, computer vision pipelines, Gaussian splatting, and complex simulation tasks using RTX and Ada Lovelace hardware with dedicated RT cores.
Ready to power your AI workloads?
Get early access to our high-performance GPU rental fleet. Simple setup, transparent rates, and zero long-term commitments.
* Developer preview edition. No payment method or provisioning card required for exploratory preview.