Slurm

Clusterra.cloud —

https://clusterra.cloud/ [E1]
Clusterra.cloud was founded in 2025 , is headquartered in Bengaluru, India , and reports a workforce of two people . [E1] It is an API-first managed platform for Slurm-based HPC and AI research clusters GPU Clusters , with OIDC authentication, per-user and per-job cost visibility, quotas, and a unified queue for conventional HPC and AI workloads. [E1]
The available search results did not provide additional reliable, entity-specific sources about Clusterra.cloud; several results concerned unrelated organizations or general cluster-computing topics and were excluded.

Value Proposition & Features

Clusterra.cloud operates managed Slurm clusters end-to-end in a customer’s AWS account, keeping research data in the customer’s VPC while allowing the customer’s AWS and NVIDIA credits to fund compute. [E1] Its target use cases include computer-aided drug discovery, cryo-electron microscopy, and multi-omics workflows. [E1]
Core features include:
  • Managed Slurm operations for research teams running HPC and AI workloads. [E1] This aligns with Slurm Workload Manager .
  • API-first cluster management for programmatic provisioning and workload submission. [E1]
  • OIDC authentication for integrated identity and access management. [E1]
  • Per-user and per-job cost visibility with submission metadata and trackable per-run costs. [E1]
  • Usage quotas for controlling resource consumption. [E1]
  • Unified queue for classic HPC and AI workloads. [E1]
  • Scientific workflow support , including AlphaFold and nf-core/sarek examples. [E1]
  • Spot GPU support and an open-source scientific software stack. [E1]

History and Origin Story

Clusterra.cloud was founded in 2025 in Bengaluru, India, as a small, two-person company focused on managed Slurm infrastructure for research teams. [E1] The available source describes its product direction—API-first cluster operations, identity integration, cost controls, quotas, and combined HPC/AI scheduling—but does not identify the founders or document specific inflection points. [E1]

Market Sizing

Category, Market Size, and Category Growth

Clusterra.cloud appears to operate in the managed high performance computing , Compute in AI ML cloud HPC , and AI research infrastructure categories, particularly for life-sciences workloads. [E1] The available search results did not provide a credible Clusterra-specific market-size estimate or a sufficiently authoritative estimate for its precise niche.
A general search result reported that the global cluster-computing market is expected to reach $85.27 billion by 2030 , but that result was a commercial market-report announcement rather than an independent analyst source and does not isolate managed Slurm platforms or scientific research infrastructure. [i1ojru]

Pricing

Tier Price Details
BYOC plans From $99/month Customer-operated AWS account; metadata-supplied pricing
30-day pilot Optional free pilot Metadata-supplied offer
The available search results did not independently verify the published pricing details.

Revenue Trajectory Estimates

No reliable public revenue or ARR figures were found.

Competitive Landscape

Who it's for, who it's not for

Clusterra.cloud is aimed at research teams in drug discovery, cryo-EM, multi-omics, and related scientific-computing fields that need managed Slurm operations, reproducible workflows, workload-level cost visibility, and AWS-account or VPC control. [E1]
It is not clearly positioned for general-purpose web hosting, conventional enterprise IT workloads, or teams seeking a fully provider-owned public supercomputing environment rather than infrastructure operated in their own AWS account.

Viable Alternatives

  • Self-managed Slurm — suitable for organizations with internal HPC administrators and platform-engineering capacity.
  • AWS ParallelCluster — a cloud-native option for teams that want to provision and manage Slurm clusters directly on AWS.
  • AWS Batch — appropriate for batch-oriented workloads that do not require Slurm compatibility.
  • Kubernetes -based research platforms — suitable for teams standardizing on containers and Kubernetes rather than HPC schedulers.
  • Specialist HPC cloud providers — relevant for teams that prefer rented infrastructure and provider-managed operations over a bring-your-own-cloud model.

Competitor Table

Competitor Description
AWS ParallelCluster AWS tooling for creating and managing HPC clusters, including Slurm-based environments.
AWS Batch Managed batch-computing service for running jobs across AWS compute resources.
Google Cloud Batch Cloud batch service for scheduling large-scale computational jobs.
Azure CycleCloud Azure service for orchestrating HPC clusters and schedulers.
SchedMD Slurm The underlying open-source workload manager on which Clusterra.cloud’s managed platform is based. [E1]

Sources

[1]: Top 100 Startup Accelerators and Incubators in India - build3 blog [2]: Latest Startup News in India | Express Computer [3]: ООО "КОМПАНИЯ "КЛАСТЕРРА" [4]: www.blockchain-council.org › quantum-computingQuantum Computing in India: Initiatives and Startups [5]: ENR Videos [6]: 体育 [7]: Wikidata [8]: True [9]: 360 [10]: Newsroom \ Anthropic

Sources (retrieved)

[E1] Exa.ai API response for data on Clusterra.cloud