AI PLATFORM
Securely host and scale your AI/ML tools in dedicated environments
Launch and grow your AI/ML initiatives with confidence. Deploy open-source or commercial AI solutions in single-tenant environments on AWS or Azure, with seamless high-performance computing (HPC) scaling. Benefit from enterprise-grade security, compliance, DevOps integration, and clear cost control through flexible subscriptions.
PLATFORM OVERVIEW
Powering AI/ML success with secure, scalable cloud hosting
The iTmethods AI Platform delivers single-tenant hosting for your AI/ML toolchains—open-source or commercial—on AWS or Azure, with on-demand HPC for training and inference. Designed for enterprise security, compliance, and transparency, it integrates effortlessly with your existing cloud setup or iTMethods’ managed infrastructure, meeting the toughest audit standards.
Start with iTmethods AI Workbench on AWS Marketplace for a quick proof-of-concept, then upgrade to a full subscription for scalable, dedicated HPC. Flexible terms, robust security, and optimized performance empower your team to innovate without limits.
CUSTOMER CHALLENGES
Overcome barriers to scalable, secure AI
Complex GPU & compute scaling
Training and inference demand HPC across AWS, Azure, or hybrid setups. Without a unified strategy, costs spiral, and scaling stalls.
Security & compliance demands
AI/ML pipelines require zero-trust security—encryption, identity management, container scanning, and FedRAMP compliance—yet gaps persist.
Fragmented DevOps & MLOps workflows
Open-source tools like Hugging Face or Kubeflow often lack DevOps harmony, slowing deployments, siloing teams and limiting enterprise agility.
Multi-cloud & hybrid complexity
On-prem and cloud compute create governance blind spots, inconsistent GPU scheduling, and murky cost visibility—optimization suffers.
Key Benefits
Drive AI innovation with confidence
PLATFORM FEATURES
Hosted, automated, and compliant
Scale and secure your AI/ML workloads with DevOps integration, automated GPU scaling, and built-in compliance in your preferred environment, without the headaches.
- Single-tenant hosting for strict compliance, GPU bursts, and your choice of open-source or commercial stacks (Hugging Face, JFrog ML, Zetaris, W&B, Anaconda).
- Secure with container scanning and plugin gating.
Auto-provision GPU resources across AWS, Azure, or on-prem clusters.
Real-time dashboards track usage and costs.
Encryption, identity management, logging, and open-source vulnerability scanning.
SOC 2, HIPAA, FedRAMP-ready.
Tie HPC triggers to GitLab, Jenkins, or iTMethods DSP pipelines. Pair with our DevOps SaaS for seamless AI scaling.
- Leverage our Application Managed Services for ongoing enhancements and cost optimization.
Track HPC usage, model performance, and container health with optional TAM fine-tuning and enhancements.
MODERNIZATION JOURNEY
Fast Setup, Ongoing AI Growth
ENGAGEMENT MODELS
Flexible subscriptions & HPC co-management
Our AI platform offers flexible subscription plans with 1-, 2-, or 3-year terms. Tiers scale from basic HPC to enterprise-grade compliance, hosted on AWS or Azure and fully managed by iTmethods or deployed in your own cloud environment with enforced controls.
Foundation
Basic HPC scaling, standard security, single-tenant hosting for open-source tools. Ideal for mid-market SaaS or regulated sectors like BFSI and healthcare.
Premier
Efficient GPU scaling, automated compliance, and resource optimization. Suited for robust MLOps and frequent AI updates.
Enterprise
Large-scale HPC, FedRAMP compliance, advanced gating, dedicated TAM. Perfect for BFSI, healthcare, or multi-region AI expansions.
Frequently Asked Questions
Managed AI platform FAQs
Yes—we host stacks like PyTorch and Kubeflow in single-tenant AWS/Azure setups with HPC scaling for training.
We spin up GPU nodes on demand, track usage live, and shut them down post-task—cutting costs and ensuring compliance.
Absolutely—link HPC to Jenkins, GitLab, or iTMethods DSP for seamless, compliant AI workflows.
Yes—our Professional Services and AMS teams optimize HPC, adoption, and compliance continuously.
Yes—choose co-managed or fully managed HPC with AMS for analytics and expansions.
We link AWS, Azure, and on-prem GPU clusters under unified compliance.
Yes—if compliance and audit trails are met, we’ll deploy single-tenant AI Platform in your AWS or Azure cloud accounts.
It’s a fast pilot option—start there, then upgrade to a full ARR subscription for deeper HPC and compliance.
Ready to Get Started?
Launch your AI/ML future today
Simplify HPC, secure your AI toolchains, and unify DevOps with MLOps. Our AI platform delivers dedicated hosting, scalable HPC, top-tier compliance, and flexible subscriptions. Ready to transform your AI strategy? Let’s talk!
