Krutrim is live · free plan, paid from ₹1.56/hr · last verified 9 Nov 2026 · viability monitor
Krutrim
Krutrim Cloud rents A100 and H100 GPU instances in India with rupee billing and Indian data residency.
If Indian data residency is a hard requirement, these GPU rates are hard to argue with — A100 80GB at ₹189/hr on-demand sliding to ₹98/hr annual, with fractional Pods from ₹24/hr for smaller jobs. AWS-compatible APIs and MCP support make it credible beyond training runs. Pass if your stack depends on a wide managed-services catalog or regions outside Bangalore and Hyderabad.
Verdict generatedVerified 5d ago · liveness 65/100 · cite: rightaichoice.com/tools/krutrim
- Indian startups that must keep training data and inference inside India
- Teams that need A100 or H100 capacity billed in INR with reserved-rate discounts
- Platform teams already standardized on Kubernetes and Terraform
- Agent builders wanting isolated sandboxes, MCP support and streaming inference endpoints
- Global products needing regions outside Bangalore and Hyderabad
- Architectures dependent on a broad managed-database and SaaS marketplace
- Workloads that must run at edge locations or under non-Indian regulatory regimes
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Skip Krutrim if your application needs regions outside Bangalore and Hyderabad, or depends on a broad managed-database and messaging catalog rather than raw GPU plus Kubernetes.
Storage keeps billing at ₹0.011/GB-hr after you stop a sandbox or instance — compute drops to ₹0/hr, the disk does not
The entry point is genuinely low: object storage free to 5 GB and sandboxes from ₹1.56/hr mean a solo developer can start without a GPU commitment. A100 80GB at ₹189/hr on-demand (₹98/hr on a 1-year commitment) and A100 Tiny Pods at ₹24/hr sit well under renting equivalent capacity through a hyperscaler Mumbai region billed in foreign currency, but you are paying that premium for a narrow catalog and two domestic regions rather than global reach.
In short
Krutrim — Krutrim Cloud rents A100 and H100 GPU instances in India with rupee billing and Indian data residency. Best for Indian startups that must keep training data and inference inside India, Teams that need A100 or H100 capacity billed in INR with reserved-rate discounts, Platform teams already standardized on Kubernetes and Terraform. Free to start; paid plans from ₹1.56/hr.
No head-to-head comparison for Krutrim yet — the alternatives below are the closest matches we list.
What is Krutrim?
Krutrim — Krutrim Cloud rents A100 and H100 GPU instances in India with rupee billing and Indian data residency. Best for Indian startups that must keep training data and inference inside India, Teams that need A100 or H100 capacity billed in INR with reserved-rate discounts, Platform teams already standardized on Kubernetes and Terraform. Free to start; paid plans from ₹1.56/hr.
Krutrim Cloud is the Ola Group's India-native AI cloud, running workloads from two domestic regions — Bangalore and Hyderabad — so training data and inference traffic never leave the country. It's aimed at Indian startups, platform teams and enterprises that need real A100 or H100 capacity without dollar invoicing or offshore data flows, plus a general-purpose side covering CPU VMs, block and object storage, managed Kubernetes, load balancers and DNS. The GPU catalog comes in two shapes. Dedicated A100 80GB machines with NVLINK start at ₹189/hr on-demand and drop to ₹98/hr on a 1-year commitment; H100 × 1 runs ₹213/hr on-demand (₹173/hr annual). If a whole node is overkill, Kubernetes-managed AI Pods slice the same silicon from A100 Tiny at ₹24/hr and H100 Tiny at ₹30/hr up to eight-GPU nodes. Per-second metering applies with no minimum floor. The developer layer is where Krutrim pushes hardest: SDKs for Python, Go, Java and Rust, a CLI, a Terraform provider and AWS-compatible APIs let existing tooling point at an Indian endpoint with minimal rewrite. The vendor also advertises MCP server support, AI agent frameworks and real-time streaming inference APIs, and its ephemeral Sandbox gives agents isolated code execution that spins up in under two seconds from ₹1.56/hr. Trust signals are documented rather than implied — SOC Type I and II plus ISO 20000, 27001, 27017 and 27018, a 99.99% uptime SLA and 24/7 monitoring with average first response under 15 minutes. The trade-off is breadth: two regions and a thinner managed-services catalog than the hyperscalers. Pick it for residency and rupee invoicing, not for a dozen managed databases and a sprawling SaaS marketplace.
Key features
- Dedicated A100 80GB GPU instances with NVLINK from ₹189/hr on-demand, ₹98/hr on a 1-year commitment
- Dedicated H100 instances from ₹213/hr on-demand, scaling to H100 × 4 at ₹852/hr
- Kubernetes-managed AI Pods from A100 Tiny at ₹24/hr to A100 × 8 at ₹1,360/hr
- H100 AI Pod variants from H100 Tiny at ₹30/hr up to H100 × 8 at ₹1,700/hr
- Reserved pricing on monthly, 6-month and 1-year commitments across GPU and CPU
- Per-second metering with no minimum floor on compute
- Ephemeral sandboxes ready in under 2 seconds, from ₹1.56/hr, free while stopped
- Sandbox compute tiers nano to x-Large with 20 GB disk on every tier
- General-purpose CPU VMs from 1 vCPU / 4 GB at ₹3.00/hr up to 32 vCPU / 128 GB at ₹97/hr
- Managed Kubernetes control plane at ₹7.00/hr (₹5,110/mo)
- Object storage with first 5 GB free, tiered down to ₹1.54/mo per GB above 500 TB
- Block SSD volumes at ₹0.011/GB-hr with snapshots at ₹0.006 and backups at ₹0.003
- SDKs for Python, Go, Java and Rust, plus CLI and Terraform provider
- MCP server support, AI agent frameworks and real-time streaming inference APIs
- AWS-compatible APIs for migration with minimal rewrite
Behind the verdict
The pitch here is narrow and useful: put A100 and H100 capacity inside India and bill it in rupees. Most teams evaluating Krutrim Cloud aren't shopping for the biggest cloud — they're solving a compliance or procurement problem, and this removes the awkward step of routing GPU spend through a US region and a dollar invoice. We'd reach for it when a data-residency requirement is already written into a contract, when reserved GPU spend is predictable enough to take the annual rate (₹98/hr on A100 80GB against ₹189/hr on-demand is roughly half), or when a Kubernetes shop wants the control plane at ₹7/hr and everything managed through Terraform. The fractional AI Pods matter more than they look: A100 Tiny at ₹24/hr lets a small team prototype on real silicon before committing to a node. The agent angle is the part still maturing. Sandbox spin-up under two seconds at ₹1.56/hr, with compute free while stopped, is a genuinely cheap place to run untrusted tool-calling code, and MCP plus streaming inference APIs mean you aren't building the plumbing yourself. Where it bites is depth — a managed-services catalog that's thinner than AWS or GCP, so anything beyond VMs, block/object storage, Kubernetes and basic networking likely runs on your own machines. Two regions is the other constraint. Bangalore and Hyderabad cover Indian residency well and disaster recovery adequately, but they don't serve a global user base, and non-Indian regulatory regimes are out of scope entirely. If you need edge locations or a broad third-party marketplace, you're in the wrong catalog. Closest alternative is the obvious one: AWS or GCP Mumbai/Hyderabad regions, which give you breadth and global reach in exchange for dollar billing and a longer path to residency sign-off. Krutrim's counter is
Limitations
- Two regions only — Bangalore and Hyderabad — so multi-continent failover is not on the table.
- The managed-service catalog is narrow compared with AWS, GCP or Azure: the site lists object and block storage, DBaaS, Kubernetes, load balancing, DNS, VPC and auto-scaling, but nothing resembling the long tail of managed queues, streaming services or serverless functions.
- Reserved rates require accurate load forecasting, since on-demand GPU pricing runs roughly double the 1-year rate (A100 80GB at ₹189/hr on-demand versus ₹98/hr on a 1-year commitment).
- Storage keeps accruing after compute stops — sandbox storage bills at ₹0.011/GB-hr even with compute at ₹0/hr.
- A load balancer base charge of ₹8.00/hr (₹5,840/mo) plus ₹0.40/GB application data transfer is a real line item on small deployments.
as of 2026-10-20
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Is Krutrim still active?
Krutrim is live · free plan, paid from ₹1.56/hr · last verified 9 Nov 2026 · viability monitor.
Viability score
How well maintained and how widely used is Krutrim? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: November 2026
How we score →What do users say about Krutrim?
What people actually say about Krutrim — is it worth it?
Our community sentiment research written Aug 14, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
How we verified this
Every listed fact about Krutrim — pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 9 Nov 2026. Analysis is drafted with AI models and checked against our editorial standards before publishing; see how we verify.
Verification history
We have re-verified Krutrim 24 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed our verdict, features, summary, pricing tiers, description
- — changed pricing page
- — changed who it suits, pricing tiers, our verdict, summary, features, description, who should skip it
- — changed pricing page
- — changed our verdict, pricing tiers, features, description, summary
- — changed switching out, pricing fit, who should skip it, setup time, hidden costs, limitations, summary, switching in, description, our verdict, use cases, pricing tiers, features
Showing the 6 most recent of 24 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Krutrim cost in 2026?
Krutrim: Free to start; paid plans from ₹1.56/hr. Pricing last verified 9 Nov 2026.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Krutrim's pricing actually pencils out — and where peers do it cheaper.
The entry point is genuinely low: object storage free to 5 GB and sandboxes from ₹1.56/hr mean a solo developer can start without a GPU commitment. A100 80GB at ₹189/hr on-demand (₹98/hr on a 1-year commitment) and A100 Tiny Pods at ₹24/hr sit well under renting equivalent capacity through a hyperscaler Mumbai region billed in foreign currency, but you are paying that premium for a narrow catalog and two domestic regions rather than global reach.
Has Krutrim's pricing changed?
No plan price for Krutrim has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Krutrim?
Pick Krutrim if you are Indian startups that must keep training data and inference inside India, Teams that need A100 or H100 capacity billed in INR with reserved-rate discounts, Platform teams already standardized on Kubernetes and Terraform, Agent builders wanting isolated sandboxes, MCP support and streaming inference endpoints.
Look elsewhere if you are Global products needing regions outside Bangalore and Hyderabad, Architectures dependent on a broad managed-database and SaaS marketplace, Workloads that must run at edge locations or under non-Indian regulatory regimes, Teams that want fully managed serverless compute with no cluster operations.
Skip it if Skip Krutrim if your application needs regions outside Bangalore and Hyderabad, or depends on a broad managed-database and messaging catalog rather than raw GPU plus Kubernetes.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Krutrim actually fits — and what changes day-one when you adopt it.
You need to fine-tune a model on A100 80GB with NVLINK but only for a few weeks per quarter. You start on an A100 Tiny Pod at ₹24/hr to get the pipeline working, then move to a dedicated A100 80GB instance at ₹189/hr on-demand for the actual run and let it stop between jobs.
Outcome: Training stays inside India with INR invoicing, and you never pay for GPU capacity you are not using because billing is per second.
You are building tool-calling agents that need a sandbox to execute generated code plus a streaming inference endpoint. You wire the agent to Krutrim's MCP server support and streaming inference APIs, and give each execution an ephemeral sandbox from the nano tier at ₹1.56/hr.
Outcome: Code execution is isolated and self-destructs, spin-up is under 2 seconds, and stopped sandboxes cost zero compute — the meter only runs while the agent is actually working.
Your VMs and data estate sit on AWS but a compliance requirement forces Indian residency. You point existing tooling at Krutrim's AWS-compatible APIs, rebuild infrastructure with the Terraform provider, and reproduce the topology on CPU VMs at ₹3.00/hr plus a managed Kubernetes control plane at ₹7.00/hr.
Outcome: Workloads run in Bangalore or Hyderabad with rupee billing, and the Ola Group's own migration — thousands of VMs and petabytes of data at under 30% lower infrastructure cost — is the reference case.
Use cases
- Fine-tune and train models on dedicated A100 or H100 instances with NVLINK interconnect
- Serve low-latency LLM inference from Kubernetes-managed AI Pods, scaling from a fractional slice to 8 GPUs
- Run tool-calling AI agents using MCP server support and streaming inference APIs
- Prototype cheaply on a sandbox instance that costs nothing while stopped
- Migrate AWS workloads to Indian infrastructure using AWS-compatible APIs and INR invoicing
- Host production APIs and backend services on CPU VMs behind load balancers
- Store AI training data and model artifacts in object storage, tiered from free to ₹1.54/GB/mo
- Run Kubernetes-orchestrated CPU and GPU node pools from one control plane
Setup time & first value
How long it actually takes to get something useful out of Krutrim — broken out by persona, not the marketing-page minute.
A solo developer gets a sandbox running in under 2 seconds from ₹1.56/hr, and the site advertises full setup in under 5 minutes with no credit card required. A platform team rebuilding a Kubernetes topology with the Terraform provider should budget days, not minutes, for the first production cluster.
Switching to or from Krutrim
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From AWS: point existing tooling at Krutrim's AWS-compatible APIs and rebuild infrastructure as code with the Terraform provider
- →From on-premises GPU clusters: move training jobs to dedicated A100 80GB or H100 instances with NVLINK
- →From a hyperscaler Mumbai region: reproduce the topology on CPU VMs and managed Kubernetes while keeping data in Bangalore or Hyderabad
- ↗To AWS, GCP or Azure: only worth it if you need regions outside Bangalore and Hyderabad or a managed-service catalog Krutrim does not list
- ↗To another Indian GPU cloud: relevant if you need capacity in a third domestic region or per-hour GPU rates below Krutrim's reserved tiers
Integrations
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “Krutrim”, and we withheld 6: 6 could not be judged, because “Krutrim” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Krutrim.
Official links
What are the best Krutrim alternatives?
The closest alternatives to Krutrim we list are Paperspace, Modal and Lilac. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Paperspace | Freemium | Pricing not published | — |
| Modal | Freemium | Pricing not published | — |
| Lilac | Freemium | Pricing not published | — |
Alternatives to Krutrim
View all
Paperspace
Per-second-billed cloud GPUs (H100, A100, A6000, V100) with 1-click Jupyter notebooks, model deployment, and distributed training in beta.
Tools that pair well with Krutrim
Common stack mates teams adopt alongside Krutrim, with the specific reason each pairing earns its keep.
Paperspace
Per-second-billed cloud GPUs (H100, A100, A6000, V100) with 1-click Jupyter notebooks, model deployment, and distributed training in beta.
Modal
Modal's serverless GPU cloud runs Python functions and sandboxes with per-second billing, spinning up GPU inference and agent compute from
Lilac
Lilac turns idle GPU clusters into a white-labeled neocloud with spot H100 leases and serverless inference.
Frequently asked questions
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