Dedicated GPU clusters, private networking, 99.9% SLA and Indian data residency — for product teams building AI at scale.
Talk to an Architect Configure InfrastructurePrivate, compliant, high-performance infrastructure designed for the full AI product lifecycle.
Enterprise-grade availability with dedicated support contacts and incident SLAs.
Fully isolated private networks, peering and site-to-site VPN for secure multi-region deployments.
All compute, storage and model artefacts stay within India for compliance with DPDP and sector regulations.
A named infrastructure engineer who knows your stack, your team and your roadmap.
Multi-node GPU clusters with high-speed InfiniBand interconnects for distributed training at scale. No shared tenancy, no noisy neighbours — compute that is yours alone.
Connect your on-premises data centres, branch offices or cloud accounts into a unified private network. Full control over routing, firewall policy and segmentation.
End-to-end MLOps tooling pre-integrated on your cluster. Go from experiment to production inference without stitching together third-party SaaS tools.
Meet regulatory and enterprise security requirements out of the box. Audit logs, RBAC, encryption and data residency controls are built into the platform, not bolt-ons.
Serve millions of model inferences per day with auto-scaling GPU pools, hardware-optimised runtimes and edge PoPs for low-latency delivery across India.
Run private LLM inference for enterprise chatbots, copilots and voice AI products with guaranteed data residency.
Get StartedProcess video streams, run real-time object detection and serve CV model APIs on GPU clusters built for throughput.
Get StartedHost multi-tenant AI backends with per-customer isolation, usage metering and auto-scaling inference pods.
Get StartedFintech, healthcare and legal AI applications with air-gapped environments, compliance logging and DPDP-aligned data controls.
Get StartedTrain or fine-tune domain-specific foundation models on large Indian datasets using our InfiniBand-connected multi-node GPU clusters.
Get StartedMigrate existing AWS, Azure or GCP AI workloads to METPL for better cost control, Indian data residency and compliance.
Get StartedAll plans are custom-scoped. Use the VM Configurator as a starting point or talk to an architect directly.
For small AI product teams (5–20 engineers)
For companies running AI in production
Air-gapped or on-premises deployment
Raw compute, GPU and storage building blocks for teams that want full control of the stack.
Learn MorePre-built ML pipelines, experiment tracking and model serving platforms on managed infrastructure.
Learn MoreTalk to an infrastructure architect about your cluster requirements, compliance needs and timeline.
Talk to an Architect Configure InfrastructureTell us about your team size, workloads and compliance requirements and we'll come back with a custom architecture proposal within 48 hours.