Arcadion
arcadion

Managed Services for AI

Scalable HPC & Model Support

Get end-to-end support for your AI and high-performance computing environments. Arcadion delivers managed AI infrastructure services for enterprises, research institutions, and public sector teams across North America and beyond. Whether you’re running large-scale simulations, training multimodal models, or deploying real-time AI assistants, our expert team ensures your operations stay optimized, secure, and compliant.

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Enterprise-Grade AI Infrastructure & Managed Services

As organizations in North America adopt AI at scale, infrastructure challenges grow more complex. Arcadion helps you architect, deploy, and manage AI workloads with precision. From LLMs to HPC clusters, we support every layer of your AI environment, with security-first design and guaranteed SLAs. We provide:

  • Full-stack support for HPC and AI infrastructure
  • Orchestration for LLM, RAG, and simulation workflows
  • Compliance, observability, and model lifecycle management
  • Real-time monitoring and 24/7 technical support

Core Capabilities of Our Managed AI Services


AI Workload Engineering & Model Operations

  • LLM and transformer-based model orchestration
  • MLOps and pipeline automation (Kubeflow, MLflow, Argo)
  • Retrieval-augmented generation (RAG) system tuning and retraining workflows
  • Continuous monitoring of inference APIs, retraining workflows, and bias detection
  • Prompt versioning, fine-tuning automation, and safety alignment

Architecture & Systems Engineering

  • AI Factory and HPC cluster architecture design
  • GPU scheduling, burst scaling (cloud or hybrid HPC), container orchestration
  • Secure enclave configuration and workload isolation
  • Custom OS imaging, benchmarking, and capacity planning

Scientific & Research Support

  • Model parallelism and multi-GPU training optimization
  • Support for simulation, modeling, and data visualization workflows
  • Advanced visualization and research modeling workflows
  • HPC enablement for universities, labs, and hospitals

End-to-End Managed Lifecycle Services

  • 24/7 monitoring, alerting, and root cause analysis
  • Hardware diagnostics and repair coordination (RMA)
  • Backup, disaster recovery, and model version tracking
  • Audit logging, compliance reporting, and quarterly reviews

Industries We Support Across North America

  • AI-first enterprises using real-time inference and RAG
  • Scientific and academic labs running simulations and models
  • Government agencies with secure compute and compliance needs
  • Biotech and health research teams deploying ML in genomics
  • Finance and insurance firms needing performance uptime

Integrated AI Tools, Security & Observability


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  • Security integrations (CrowdStrike, Cisco, Red Hat)
  • Collaboration tools (JupyterHub, VS Code Server, RAPIDS)
  • AI observability (Prometheus, Grafana, Elastic)
  • HPC usage, carbon impact, and cost dashboards
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Why North American Organizations Choose Arcadion


Deep Technical Fluency

Our team includes AI engineers, hardware specialists, DevOps architects, and domain-specific HPC consultants.


Hybrid Infrastructure Support

On-premise, cloud-native (AWS, Azure), and hybrid orchestration with security-first design.


Mission-Critical Operations

We specialize in uptime-sensitive, performance-intensive environments that power national R&D and enterprise innovation.


Vendor-Agnostic Flexibility

We support mixed GPU and CPU hardware, Red Hat, Ubuntu, Rocky Linux, and container ecosystems.


AI-Aware Service Model

Our managed services account for your model types, memory needs, context-fetching layers, and retraining triggers.


Let's build a better digital world together.

Our experts will guide you through the complex world of technology and cybersecurity.

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Common Questions About Managed AI Services

Find answers to the most common questions about our services

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  • What’s included in your managed AI services?

    We offer full-lifecycle support for AI workloads, including infrastructure design, model operations, security, monitoring, and compliance. This includes HPC cluster management, MLOps pipelines, and observability tools.

  • Do you support on-premise and hybrid environments?

    Yes. We support fully on-premise deployments as well as hybrid and cloud-native environments using AWS, Azure, and private infrastructure based in North America or Canada.

  • What industries benefit most from your AI managed services?

    Our services are ideal for enterprises in healthcare, finance, biotech, government, and research, anywhere high uptime and performance are critical.

  • How do you ensure data security and compliance?

    We implement secure enclaves, RBAC, encryption, audit logging, and integrations with trusted tools like CrowdStrike and Red Hat to meet industry and government standards.

  • What kind of support do you offer after deployment?

    We provide 24/7 monitoring, root cause analysis, performance tuning, infrastructure reviews, and ongoing model lifecycle management under enterprise-grade SLAs.

Let Experts Manage Your AI Infrastructure

Move your AI workloads to an AI ready data center where certified specialists handle installation, monitoring and maintenance.

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