Built for AI workloads
GPU-first infrastructure so you spend time on models, not ops.
GPU Cloud Infrastructure
H200, L4 — real GPU power for training and inference. 4.8 TB/s bandwidth.
Auto-Scaling Clusters
Go from 1 GPU to 1000+ automatically. Pay only when jobs are running.
High-Speed Storage
100K+ IOPS NVMe storage. Your datasets load fast, not your patience.
Model Registry
Version, deploy, and A/B test your models. Roll back in one click.
Kubernetes Native
Run ML pipelines on managed K8s with GPU scheduling and spot support.
India Data Residency
Train and serve models from India. Stay compliant with local regulations.
GPU Cloud Infrastructure
H200, L4 — real GPU power for training and inference. 4.8 TB/s bandwidth.
Right GPU For Every Workload
From fine-tuning to large-scale training — pick the GPU that fits your workload and budget.
AI/ML Use Cases
LLM Training
Train 70B+ parameter models on H200 clusters. Distributed training, done right.
Computer Vision
From image recognition to video analytics — build and deploy vision models fast.
MLOps Pipelines
Data prep to production in one pipeline. Automate the boring parts of ML.
LLM Training
Train 70B+ parameter models on H200 clusters. Distributed training, done right.