AI & GPU Cloud
AI runs on accelerators, not promises. GPU capacity on demand, India-sovereign infrastructure, and an MLOps path from experiment to production — no CapEx gamble.
GPU as a service for AI training and inference, sovereign AI cloud environments, AI studio workspaces and data platforms. Accelerators on demand, no upfront CapEx, with India-located residency for workloads that must stay in-country.
Products in this family
Each capability is delivered as a managed service. Select one to scope a solution or request a quote.
GPU as a Service
On-demand GPU accelerators for training and inference — from a single card to multi-GPU nodes with NVLink — billed only for active compute time. Sessions provision in minutes with pre-installed ML frameworks, so you never buy silicon that sits idle.
Learn moreSovereign AI & GPU Cloud
India-located AI infrastructure: GPUs, data, and models all resident within Indian jurisdiction. Built for regulated sectors and government workloads where the DPDP Act and data-residency mandates are hard requirements — no building a private data centre to meet them.
Learn moreAI Studio & Data Platform
Integrated MLOps platform — feature stores, versioned datasets, notebook workspaces, pipeline orchestration, and inference endpoints in one environment. Closes the handoff gap between data prep, training, and deployment so the full AI lifecycle lives in one place.
Learn moreAI Inference Endpoints
Production-grade model serving behind a scalable API — autoscaling, canary rollouts, A/B testing, and p99 latency observability. Models warm to eliminate cold starts and cache answers for repeated requests. One endpoint to take any trained model live.
Learn moreTraining Clusters
Multi-GPU compute clusters wired with InfiniBand or RoCE for distributed deep-learning training where the bottleneck is your research, not the fabric. GPUDirect RDMA, job scheduling, and automated checkpointing mean a node failure costs an epoch, not the entire run.
Learn moreNotebook Workspaces
GPU-backed Jupyter and VS Code workspaces with curated ML environments (PyTorch, TensorFlow, RAPIDS) and persistent storage. Sessions spin up in seconds with on-demand GPU attachment and release when idle — no more setting up libraries for every experiment.
Learn moreData Integration & Governance
ETL/ELT pipelines with field-level lineage, automated quality checks that catch bad data before it trains a model, and freshness monitoring that pages someone when a source goes quiet. Trace a training table back to its source and prove it's the clean, current version.
Learn moreData Visualization
Interactive dashboards with drill-down, role-based views, and live data connectors to the systems you already run. Designed for the person who makes the decision — not a static PDF report that arrives stale.
Learn moreArtificial Intelligence
Disciplined AI strategy and delivery — ML, computer vision, and NLP applied to business decisions like demand forecasting, document extraction, and support triage. We start from the decision you need and work backward to the model, with a human-in-the-loop where the cost of error is real.
Learn moreAI Agent Development
Autonomous AI agents that complete tasks end-to-end — triage tickets, query databases, draft responses, move data between systems — with bounded scope and exception escalation to humans. Tool-calling, RAG, and guardrails keep them inside the lane you set.
Learn moreNeed a solution tailored to your environment?
Our solutions architects will scope the right product mix for your infrastructure, timeline and budget — no obligation.