The Most
Cost-Effective
GPU Cloud for
Global AI Scaling.
Deploy high-performance GPU pods with unmatched price-to-performance. Leverage a globally distributed network designed for seamless training and production-grade inference.
Cut Your GPU
Expenses by 50%.
We bridge the gap between expensive hyperscalers and unreliable providers. Our infrastructure is optimized to provide maximum stability at half the cost.
NVIDIA RTX 4090
Vision & Inference
NVIDIA A100 (80GB)
LLM Fine-tuning
NVIDIA H100 (80GB)
Massive-scale Training
Distributed,
Low-Latency.
Our infrastructure spans 5 key global regions, interconnected via private dark fiber to ensure your AI models respond instantly from anywhere on Earth.

GPU Pods: Developer-Centric Infrastructure
Performance-tuned for the modern AI stack
True Pay-As-You-Go
Granular hourly billing with no long-term commitments or hidden overhead. Cost scales exactly with your execution time.
Shared Network Volumes
Decouple your data from compute. Mount a single Network Volume to multiple GPU Pods simultaneously to share datasets and models across your fleet.
Zero-Cost System Storage
Every instance includes a complimentary high-performance OS disk to accelerate your initial deployment. No hidden storage line items.
Image Pre-warming
Automatic pre-warming for custom Docker Hub images ensures near-instantaneous boot times even for multi-gigabyte environments.
Pre-Optimized AI Environments
From Zero to Deployment in One Click. Skip the environment setup.
LLM & Inference
vLLM-DeepSeek-R1-Distill
Cuda 12.1Deep Learning
PyTorch 1.8.1 - 2.5.0
TensorFlowCreative AI
ComfyUI Standard
GenerativeVoice & Audio
RVC (AI Cover Singing)
VibeVoice-7BTurnkey Tooling: Immediate access via secure SSH or integrated JupyterLab environments, performance-tuned for the modern AI stack.
Serverless:
Zero-Management.
Predictive Scaling
AI-driven workload prediction ensures your capacity is ready before the spike hits, maintaining perfect performance without manual tuning.
Edge-Ready Routing
Traffic is routed to the nearest available GPU node, slashing TTFT (Time to First Token) for real-time generative AI applications.
Autoscale in
seconds
Instantly respond to demand with GPU workers that scale from 0 to 1000s in seconds. Never pay for idle capacity again.
Zero cold-starts
active workers
Always-on GPUs for uninterrupted execution. Achieve millisecond latency for your most demanding AI inference tasks.