GPU compute,
instantly on demand.
Kshana pools H100s, A100s, and L40S GPUs across global datacenters — exposing them through a unified API. Train, infer, render, and simulate at scale, billed to the second.
$ kshana instance launch --gpu h100-sxm5 --count 8 --region us-east-1
Provisioning 8× H100 SXM5 in us-east-1...
✓ Instance inst-8f3k2p is running (87s)
SSH: ssh ubuntu@10.0.1.42 • Cost: $26.32/hr
$
Everything you need to ship AI at scale
One platform. Full ML lifecycle support from notebook to production inference.
Instant Provisioning
From API request to a running GPU instance in under 90 seconds. No waiting, no queues for on-demand jobs.
Global Infrastructure
GPUs pooled across US, EU, and Asia-Pacific datacenters. Deploy close to your users and data sources.
Full ML Stack
Managed JupyterHub, MLflow, Kubeflow Pipelines, Triton Inference Server, and LoRA fine-tuning — all included.
Flexible GPU Sharing
Dedicated GPUs for large training, MIG partitions for dev, and time-sliced vGPU for lightweight workloads.
Per-Second Billing
Real-time metering accurate to the second. Spot market discounts of 60–80% for interruptible workloads.
Zero-Trust Security
SOC 2 Type 2, ISO 27001, HIPAA BAA. Istio mTLS between all services. AES-256 encryption at rest.
Developer-First APIs
REST, gRPC, and WebSocket APIs. Python SDK, CLI, Terraform & Pulumi providers. GitHub Actions integration.
Unified Dashboard
Monitor utilization, costs, and running jobs across all regions from a single control plane with real-time metrics.