Which cloud environments do you support?

AWS, Azure, GCP, on-premises and hybrid — no vendor lock-in required.

How do you handle data security?

ISO 27001-aligned: RBAC, AES-256 encryption, TLS, network segmentation and audit logging.

What does GPU provisioning involve?

Elastic GPU clusters with job scheduling, queue management, auto-scaling and cost tagging.

What is your uptime SLA?

99.9% monthly uptime. P1 response under 15 minutes, 24/7 NOC monitoring.

Can you migrate an existing AI environment?

Yes — phased migration with parallel running and zero-downtime cutover for production endpoints.

AI Data Center Solutions India | AI Infrastructure

Name: Outer Orbit Technologies
Address: C/O MIMEC Cable, 5th Floor, Plot No. 3/P, Namkum Industrial Area, Ranchi, Jharkhand, 834010, IN
Telephone: +917979771209
Price range: ₹₹

AI Data Center Solutions - Outer Orbit Technologies

AI-ready infrastructure

Secure AI infrastructure that scales with your model operations

Building reliable AI capability requires more than compute. It requires governed data pipelines, secure model repositories, elastic GPU resources and real-time observability. Outer Orbit Technologies designs and operates AI data center environments with governance controls built in from the ground up — not retrofitted after deployment.

End-to-end data pipeline design: ingestion, preprocessing, cataloguing and lineage tracking
GPU compute provisioning with elastic scaling and cost controls for training and inference
ISO 27001-aligned security: RBAC, encryption at rest and in transit, audit logging

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What we deliver

AI data center capabilities

Data Pipelines

Automated ingestion, preprocessing and cataloguing with full data lineage tracking and schema validation for AI-ready datasets.

GPU / Compute Fabric

Elastic GPU and CPU resource management for model training and inference workloads with cost controls and scheduling optimisation.

Security & Compliance

Role-based access control, encryption at rest and in transit, audit logging and governance framework aligned to ISO 27001 standards.

Monitoring & MLOps

Real-time observability for data quality, model drift detection, training job status and inference performance with alerting and runbooks.

Why enterprises trust Outer Orbit for AI infrastructure

Most AI projects fail at the infrastructure layer — inconsistent data pipelines, ungoverned model storage and reactive security controls. We build AI data center environments with governance-first architecture that makes models reliable, auditable and secure from day one.

Governance-first architecture

Data lineage, model versioning, access controls and audit trails are designed into the architecture — not added after deployment.

Elastic compute scaling

GPU and CPU resources scale on-demand with automated scheduling. Pay for active compute, not idle infrastructure sitting at peak provisioning.

Enterprise security controls

RBAC, encryption, network segmentation and compliance logging configured from day one. Audit-ready from first deployment.

Cloud and on-prem flexible

AWS, Azure, GCP, on-premises and hybrid environments all supported. We design for your existing stack rather than enforcing a specific cloud vendor.

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Common questions

Frequently asked questions

AWS, Microsoft Azure, Google Cloud Platform, on-premises data centers and hybrid environments. We design architecture for your existing stack and procurement agreements — no vendor lock-in is required as part of our engagement.

ISO 27001-aligned controls including RBAC, AES-256 encryption at rest, TLS in transit, network segmentation, SIEM integration and audit-ready logging. We design compliance documentation (SOC 2, DPDP, GDPR) into the architecture rather than retrofitting it post-deployment.

We provision elastic GPU clusters (NVIDIA A100, H100 or equivalent cloud instances) with job scheduling, queue management and auto-scaling. Training jobs are isolated per team or project with cost allocation tagging. Inference endpoints are optimised separately from training compute.

99.9% monthly uptime for production data pipelines and inference endpoints. Maintenance windows are scheduled with 72 hours advance notice. 24/7 NOC monitoring with P1 incident response under 15 minutes and root cause analysis within 4 hours of resolution.

Yes. We conduct a pre-migration assessment to document existing pipelines, models, dependencies and data stores. Migration is executed in phases with parallel running to validate equivalence before cutover. Zero-downtime migration is standard for production inference environments.

AI Data Center Solutions

Secure AI infrastructure that scales with your model operations