Krutrim Cloud Review 2026: AI GPU Cloud for Indian Developers

What Is Krutrim Cloud? India's AI-First GPU Cloud Explained

Krutrim Cloud is India's AI-first cloud platform from the Ola group, built for teams that train, fine-tune and run AI models on local soil. It pairs NVIDIA A100 and H100 GPU virtual machines and bare-metal servers with everyday cloud building blocks such as Kubernetes, object storage and private networking. Data stays in India across Bangalore and Hyderabad, and the platform carries a financially backed 99.99% uptime SLA. Billing is in INR with itemised invoices and real-time cost tracking, and the company says 500+ teams already use it, including Airtel and Practo. For a wider view of the local stack, see our Indian and Hindi AI tools hub.

Quick Summary

Overall Rating	3.9/5
Best For	Product engineers building AI‑first SaaS in India

Krutrim Cloud Services: GPUs, Sandbox and General-Purpose Cloud

Krutrim Cloud is an AI-first cloud platform from the Ola group, built and run in India. It gives teams two things in one place: GPU capacity for AI work and ordinary cloud building blocks for everything around it. The AI side runs on NVIDIA A100 and H100 virtual machines, available on-demand or reserved, plus GPU bare-metal servers and AI Pods for containerised workloads. NVMe storage and monitoring cover GPU utilisation, model metrics, logs, traces and alerts. The general-purpose side includes CPU VMs, Kubernetes, load balancers, DNS, auto scaling, object and block storage, DBaaS, backups, snapshots, IAM and private networking. Data stays in India, with regions in Bangalore and Hyderabad.

One of the more unusual pieces is the Krutrim Cloud Sandbox. It is isolated, short-lived compute where AI agents can run code safely. It starts at Rs 1.56 per hour, spins up in under 2 seconds and destroys itself when done. Every tier, from nano to xlarge, comes with 20 GB of disk. Developers get Python, Go, Java, Rust, MCP, CLI and Terraform SDKs, and the APIs are AWS-compatible, so existing tooling often moves across with little change. Billing is in INR with itemised invoices, real-time cost tracking and usage alerts. The company reports 500+ teams on the platform, with logos including Airtel, Practo, Ola, Dashverse and TeleCMI, and says the Ola group moved thousands of VMs and petabytes of data onto it at under 30% lower infrastructure cost.

The company background explains the shape of the product. Ola launched the Krutrim chatbot in February 2024, then added an AI cloud for developers the same year. In May 2025 the Ola group finished moving its workloads to Krutrim Cloud and stopped using Microsoft Azure. The consumer assistant app was pulled in April 2026, and in May 2026 the company pivoted to AI cloud and paused its chip and model work. You can read the full sequence in the Ola Krutrim pivot story. Krutrim, Ola Electric and ANI Technologies are separate companies with different shareholder bases. Bhavish Aggarwal holds close to 90% of Krutrim, and Mint reported in 2026 that nearly 90% of its Rs 101.7 crore revenue came from Ola Electric and ANI Technologies. The name comes from the Sanskrit and Hindi word कृत्रिम, meaning "artificial".

Compliance is a clear selling point. Krutrim Cloud holds SOC 2 Type I and Type II, ISO 20000, ISO 27001, ISO 27017 and ISO 27018. It advertises a financially backed 99.99% uptime SLA, though the enterprise section also states 99.9%. Support runs 24/7, with dedicated SREs for enterprise customers and an average first response under 15 minutes. Onboarding is free with no credit card and setup under 5 minutes, and enterprise buyers can contact sales. Ola Maps APIs sit under the same roof. For teams that want Indian-language AI on top of this kind of stack, Sarvam AI is the closest comparison point, since it positions itself as a full-stack sovereign AI platform built on sovereign compute in India.

Krutrim Cloud Customers and Who It Fits

Krutrim Cloud suits teams that want India-hosted GPU compute and general cloud infrastructure from a single provider.

• AI teams training and serving models: NVIDIA A100 and H100 GPU virtual machines, bare-metal GPU servers and AI Pods cover training, fine-tuning and inference, with observability for GPU utilisation and model metrics.
• Developers building AI agents: The Krutrim Cloud Sandbox gives isolated, ephemeral compute that spins up in under 2 seconds and self-destructs, starting at Rs 1.56 per hour.
• Indian enterprises with data residency duties: Data stays in India across the Bangalore and Hyderabad regions, backed by SOC 2 Type I and Type II, ISO 27001, ISO 27017 and ISO 27018 certifications.
• Teams already on AWS-style tooling: AWS-compatible APIs plus Python, Go, Java, Rust, MCP, CLI and Terraform SDKs ease migration, and INR billing with real-time cost tracking keeps spend visible.

If your work leans on Indian-language speech and translation, compare Krutrim with Bhashini, India's government language AI platform, and read our Sarvam AI API guide for a model-first alternative.

Professional reality: The consumer chatbot, the free tier with fixed limits and the "25x cheaper than AWS" claim are gone, so judge Krutrim Cloud on its current cloud and GPU lineup alone.

Krutrim Cloud GPU Lineup: A100, H100 and Bare-Metal AI Pods

Krutrim Cloud Pricing: INR Billing and Sandbox Rates

Krutrim Cloud does not publish fixed monthly plans. You start free with no credit card and setup under 5 minutes, then pay for what you use. Krutrim bills in INR and provides itemised invoices, real-time cost tracking, and usage alerts. GPU capacity comes as on-demand or reserved NVIDIA A100 and H100 virtual machines, GPU bare-metal servers and AI Pods, while CPU VMs, Kubernetes, object storage, DBaaS and the rest of the general purpose cloud are billed separately. The one listed rate is the Krutrim Cloud Sandbox, an isolated, ephemeral space where AI agents run code safely: it starts at Rs 1.56 per hour, spins up in under 2 seconds and self-destructs. Sandbox flavours run from nano to xlarge, each with 20 GB of disk, priced per hour.

Krutrim Cloud lists no fixed free-tier limits, no credit amount and no rollover or refund terms on its pricing page, so treat any such figure you see elsewhere as out of date. Prices are in INR and were checked in November 2026 on olakrutrim.com; rates can change, so confirm before you commit. For a wider look at the category, see our Indian AI tools guide.

Krutrim Cloud Strengths and Limitations Examined

Krutrim AI Cloud Use Cases: Training, Fine-Tuning and Inference

Krutrim Cloud Console: Getting Started in Under 5 Minutes

Is Krutrim Cloud Worth It After the 2026 Pivot?

Krutrim Cloud is now a focused AI infrastructure product, not the consumer chatbot it started as. The site no longer shows the free tier with fixed limits, the no-code studio or the "25x cheaper than AWS" claim. What remains is NVIDIA A100 and H100 GPU virtual machines, bare-metal GPU servers, AI Pods, Kubernetes, object and block storage, DBaaS and a sandbox for AI agents starting at Rs 1.56 per hour. Data stays in India across Bangalore and Hyderabad, with a 99.99% uptime SLA and SOC 2 Type I and Type II, ISO 27001, ISO 27017 and ISO 27018 certifications. Billing is in INR with itemised invoices and real-time cost tracking.

The value case is strongest for teams that must keep workloads and data inside India. Regulated sectors, government-linked projects and Indian enterprises get local regions, INR billing and a support model with dedicated SREs and a first response under 15 minutes for enterprise customers. Developers also get Python, Go, Java, Rust, MCP, CLI and Terraform tooling plus AWS-compatible APIs, which lowers migration effort. The Ola group itself moved thousands of VMs and petabytes of data onto the platform at under 30% lower infrastructure cost, and 500+ teams now use it, including Airtel, Practo and Ola.

Who should skip it: teams that want a free tier with fixed limits, a pre-trained model catalogue or a consumer assistant. Those are no longer shown on the site. Teams needing a global footprint across many regions should look at providers with wider zone coverage. Anyone comparing raw GPU rates should note that Krutrim does not publish per-hour GPU prices on the facts available here, while Together AI lists H100 on-demand at $3.99 per hour and H200 at $5.99 per hour, so a direct price comparison needs a sales quote. Startups that only need serverless token pricing may find per-token providers simpler than renting GPU machines.

One caution: nearly 90% of Krutrim's Rs 101.7 crore revenue came from two group entities, Ola Electric and ANI Technologies. That concentration is worth weighing if you depend on the platform long term. For Indian AI teams that need sovereign compute and are comfortable with a young cloud, the fit is good. For everyone else, compare against Together AI and the wider list of Indian and Hindi AI tools before committing.

Krutrim Cloud vs Together AI and Sarvam AI

Frequently Asked Questions

Krutrim Cloud Alternatives for Indian AI Teams

• Together AI — Publishes per-hour GPU rates openly: HGX H100 on-demand $3.99/hr (preemptible $1.99, 90-day reserved $3.19), H200 $5.99/hr, B200 $8.19/hr, B300 $9.99/hr, plus serverless per-token inference — a direct benchmark Krutrim does not publish.
• Sarvam AI — Full-stack sovereign AI platform with a model/API layer (TTS across 11 Indic languages, STT across 12, translation across 23), $234M Series B first close at a $1.5B valuation (June 2026), and named customers including Aadhaar, Axis Bank, CRED, Infosys and LIC — Krutrim's public logos are mostly Ola group and a handful of others.
• BharatGPT (CoRover) — Ships an actual model family — five BharatGPT models from 5M to 5B parameters, newest BharatGPT-Instruct (Jul 2026, Gemma-based MoE, 35+ languages, multimodal) — whereas Krutrim paused its own model work in May 2026 and now sells compute only.

Teams that want open model weights to self-host should look at Hugging Face, which gives you the weights and tooling to run models on your own infrastructure. For a wider shortlist of domestic platforms, see our Indian AI tools guide.

Bottom Line: Krutrim Cloud suits Indian teams that want GPU capacity and general cloud in one place with data kept in India. If you need published GPU rates, a full model and API stack, or an active model family, the three options above cover those gaps.

theaitoolsbox.com editorial team