Private AI Infrastructure
Secure, Hybrid, and Managed
GPU Pods, tenant-private AI, and hybrid cloud pipelines — built on our Advanced Colocation+ foundation with premium security included.
Why Private AI Matters
Public cloud AI services are powerful, but they come with tradeoffs: unpredictable costs, compliance hurdles, and data that leaves your control. Private AI solves these challenges by keeping your workloads secure, predictable, and aligned with enterprise standards.
Data Control
Prompts, outputs, and training data stay inside your account, not exposed to public endpoints.
Compliance Confidence
Essential for industries under SOC 2, HIPAA, GDPR, and financial regulations.
Predictable Costs
Fixed OPEX models eliminate surprise bills from usage-based APIs.
Hybrid Flexibility
Train at scale on ColoPods GPUs, serve inference and RAG pipelines in your tenant.
Why Choose ColoPods for Private AI
ColoPods goes beyond traditional colocation or GPU cloud providers by delivering a managed, secure, and enterprise-ready foundation for AI.
Colo+ Foundation
Every deployment includes high-density power, cooling, lifecycle ops, OS patching, and security from day one.
Premium Security Included
SOC 2–aligned controls, PAM, micro-segmentation, and SIEM logging — built-in, never an add-on.
AI-Optimized Density & Cooling
Support for 35–100kW racks with liquid cooling options designed specifically for GPU clusters.
High-Speed Interconnects
Multi-node GPU performance with NVIDIA NVLink and InfiniBand networking.
GPU Supply Without CapEx
Lease Pods via trusted OEM and GPU cloud partners — ColoPods manages them end-to-end.
Transparent SLAs
99.99% facility uptime and 15-minute critical response commitments, clearly defined and measurable.
AI Infrastructure Packages
Choose the model that fits your stage. All packages include premium security and Colo+ lifecycle management.
Lease Pods via Partners
Turnkey GPU clusters, no capex
Teams needing GPU capacity without hardware investment
Advanced Colocation+ for AI
Bring your own GPU hardware
Enterprises bringing their own GPU hardware into ColoPods
Hybrid Burst
Scale to cloud when needed
Hybrid architectures with variable compute needs
All packages include enterprise security, compliance support, and 24/7 expert assistance
Lease Pods: Enterprise GPU Cluster Specifications
ColoPods delivers three Pod types aligned to real enterprise AI workflows. Whether you're experimenting, training at scale, or serving models in production, each Pod is engineered for performance, security, and cost predictability.
Build Pod
Best for Fine-tuning
Small-scale GPU environments for data preparation, prototyping, and experimentation
Best for:
- •Fine-tuning existing foundation models with domain-specific data
- •Testing embeddings and vector databases for retrieval use cases
- •Proof-of-concept development and rapid iteration cycles
- •Data preprocessing and feature engineering
Train Pod
Proven Workhorse
Scalable multi-node GPU clusters for distributed training of large models
Best for:
- •Training large language models (LLMs) and multimodal AI
- •Distributed training jobs that require NVLink + InfiniBand
- •Re-training or extending foundation models on private datasets
- •Running computationally intensive HPC workloads (genomics, simulations)
Serve Pod
Cost Optimized
Purpose-built GPU environments optimized for low-latency inference and RAG
Best for:
- •Deploying fine-tuned models in production at scale
- •Powering chatbots, copilots, and customer-facing AI services
- •Running RAG pipelines with integrated vector DBs
- •Real-time inference on structured or unstructured data
Custom GPU Cluster Configurations
From 8-GPU development clusters to 1000+ GPU training supercomputers
8-32 GPUs
Development & Research
64-256 GPUs
Production Training
512+ GPUs
Large Model Training
1000+ GPUs
Foundation Models
Managing Colo+ for AI Workloads
Every Private AI deployment starts with Advanced Colocation+ — covering hardware lifecycle, OS patching, and premium security. On top of that foundation, ColoPods offers three AI-specific management tiers.
Operate (AI-Ready)
Get the cluster running for production workloads.
Optimize (AI Performance)
Go beyond basic ops to tune for speed and cost efficiency.
Enhance (Add-Ons)
Extend your platform with advanced features.
AI Management Tiers Comparison
Choose the right level of AI infrastructure management for your needs
| Layer / Function | Colo+ Baseline | Operate | Optimize | Enhance |
|---|---|---|---|---|
| Hardware lifecycle, firmware, RMA | — | — | — | |
| OS patching, baseline hardening | — | — | — | |
| Premium security & compliance | — | — | — | |
| NVIDIA drivers, CUDA, NCCL | — | |||
| Slurm / K8s / Run:ai schedulers | — | |||
| GPU partitioning (MIG) | — | |||
| Cluster observability (jobs/logs) | — | |||
| InfiniBand / NCCL tuning | — | — | ||
| Job queue optimization | — | — | ||
| Golden images & baselines | — | — | ||
| Cost/perf reviews (AI Strategy) | — | — | ||
| RAG toolkit, eval harnesses | — | — | — | |
| Confidential computing setup | — | — | — |
Hybrid Burst: Extend Into Your Cloud Tenant
Why Private AI?
Public cloud AI services are convenient, but they come with tradeoffs: unpredictable costs, limited visibility, and data leaving your control. Many enterprises are turning to tenant-private AI to solve these challenges:
Keep your data private
Prompts, outputs, and training data never leave your account or tenant.
Meet compliance needs
Aligns with SOC 2, HIPAA, GDPR, and financial regulations by keeping sensitive data in your control.
Predictable cost control
Avoid surprise bills from usage-based pricing; run workloads on fixed OPEX or your own infrastructure.
Hybrid flexibility
Train at scale on ColoPods GPUs, then serve inference or RAG pipelines securely in your cloud tenant.
Customization & control
Configure runtimes, observability, and security to match your policies, not a hyperscaler's defaults.
How ColoPods Delivers It
We design, build, and operate tenant-private AI landing zones in AWS, Azure, and Google Cloud. You get secure, private access to the latest AI services — fully managed by ColoPods and seamlessly connected to your Colo+ Pods.
AWS
Azure
Google Cloud
Our Capabilities:
Build
Secure landing zone design with private subnets, firewall policies, registries, and IaC templates
Secure
Customer-managed encryption keys, SIEM logging, enforced no-egress
Operate
Ongoing patching, runtime updates, cost/performance tuning, drift detection
Extend
Private interconnects (Direct Connect, ExpressRoute, PSC) linking Colo+ Pods and your cloud tenant for seamless data and job flows
Design-to-Run: Deployment in 2-4 Weeks
Every Private AI deployment includes a structured onboarding project. In 2–4 weeks, we assess your requirements, design the landing zone, deploy secure infrastructure, and hand over with full documentation and runbooks.
Step 1 — Assess & Design
- •Current-state review (infrastructure, security, data flows)
- •High-level design (Pods, hybrid interconnect, tenant-private landing zones)
- •Cost/TCO modeling across BYO, Lease, and Burst options
Step 2 — Build Foundations
- •Networking (private subnets, endpoints, firewalls)
- •Identity integration (IAM/AD, SSO)
- •Storage & registry hardening
- •IaC scaffolding (Terraform, ARM, or Deployment Manager templates)
Step 3 — Models & Data Paths
- •Deployment of model endpoints (Bedrock/Azure OpenAI/Vertex AI) or OSS runtimes
- •Integration with schedulers (Slurm/K8s/Run:ai)
- •Logging & observability pipelines to SIEM
- •Optional RAG toolkit (vector DB, retrieval connectors)
Step 4 — Hybrid & Handover
- •Private interconnects configured (DX/ER/PSC)
- •Performance validation (job tests, inference latency checks)
- •Documentation, diagrams, and runbooks delivered
- •Security sign-off and customer acceptance
Deliverables
Architecture diagram
Final approved reference architecture for Pods, hybrid fabric, and tenant-private landing zone
Infrastructure as Code templates
Terraform/ARM/Deployment Manager modules for repeatable deployments
IAM policy set
Role definitions, least-privilege enforcement, and access workflows
Security sign-off pack
Evidence of controls (network segmentation, encryption, logging, vulnerability scans)
Runbooks for ongoing ops
Step-by-step procedures for patching, upgrades, incident response, and scaling
Security & Compliance Included
Premium security isn't an add-on at ColoPods — it's built into every deployment from day one. Meet compliance requirements without compromise.
Enterprise Security
- Multi-layered security architecture
- 24/7 SOC monitoring
- Biometric access controls
- Encryption at rest and in transit
Compliance Ready
- SOC 2 Type II certified
- HIPAA compliant infrastructure
- PCI DSS ready
- GDPR compliant processes
Guaranteed SLAs
Trusted by Enterprises and Partners
Leading organizations and technology partners rely on ColoPods for their AI infrastructure needs.
OUR TECHNOLOGY PARTNERS
Financial Services Firm
Healthcare AI Startup
Enterprise SaaS Platform
Frequently Asked Questions
Common questions about Private AI Infrastructure
What's the difference between Advanced Colocation+ and Private AI Infrastructure?
If I'm already on Colo+, can I upgrade to Private AI?
How fast can you deploy Private AI Infrastructure?
Can I connect my cloud tenant directly?
Do I pay extra for premium security and compliance?
Can I burst to the cloud for overflow workloads?
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