Competitive Pricing
Scalable, Affordable GPU Compute
Renting an H100 GPU instance starts at $1.8/GPU/hour, reducing the computational cost of training and inference by 70% compared to AWS.
H100*8 On-Demand Price
$14.4
ATLAS CLOUD
$24
RUNPOD
$25
DIGITAL OCEAN
$49
COREWEAVE
$55
AWS
$56
AZURE
Fast Deployment
Deploy Open-Source AI Fastest
Skip settings and immediately start GPU workloads through Docker Hub, GitHub pre built images, and ready-made images optimized by AtlasCloud for PyTorch, TensorFlow, CUDA and Jupyter.
Expansive Storage
Flexible, High-Capacity Storage
Start with generous free storage to easily manage your models and datasets. Scale effortlessly as your needs grow, with no transfer fees or hidden costs.
Feature Spotlight
More Features, Less Overhead
Serverless Extension
Skip the infra headaches. Our auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating.
Integrated Fine-Tuning
Quickly fine-tuning any model on Huggingface using high-performance GPUs and parallel workloads.
Infiniband-Powered Clusters
Delivers 3.2 Tbit/s throughput per 8-GPU host and ensures direct GPU-to-GPU communication.
Network Storage Volumes
Reduce the cluster recovery time by leveraging network disks mounted to every virtual instance. This provides cloud-native elasticity and a quick VM restart when failure occurs.
Customize TCP/UDP Ports
Each GPU supports expanding HTTP and TCP ports, and can also configure environment variables, making them highly operable.
Pro Experience
Expert consulting team of professionals coming from Google Cloud, Microsoft, AWS and Tencent Cloud.
Need a Custom Solution?
Qualifications
99.9% Uptime, Safe and Reliable
Powerful engineering team from the top AI companies.
Backed by Dell, HPE, Supermicro, and more.
SOC 2 & HIPAA Compliance at every level.
