ACTIVATE AI
Operationalize AI Infrastructure at Scale


Kubernetes-native orchestration, built for scalable,
GPU-intensive AI workloads across cloud, on-prem, and neocloud.



Parallel Works ACTIVATE AI

ACTIVATE AI extends the Parallel Works control plane with powerful new capabilities for teams deploying advanced AI infrastructure. Whether you're managing Kubernetes clusters, integrating with services like SageMaker or Azure ML, or scaling to neocloud GPU providers, ACTIVATE AI provides the orchestration layer that unifies, secures, and simplifies it all. From fine-tuning LLMs to running persistent Jupyter sessions, ACTIVATE AI meets the needs of modern R&D, DevOps, and data science teams — across environments and without added complexity.

Simplifying Kubernetes for AI Teams

Kubernetes is critical for modern AI and ML workloads — but it's not always easy to use. Most platforms require YAML configuration, command-line tools, and manual cluster operations. ACTIVATE AI removes that complexity. With a few clicks, you can plug Kubernetes clusters into your existing ACTIVATE environment, gaining secure, role-based access, automated resource controls, and native support for persistent AI services like Jupyter, Ray, and Stable Diffusion.


Centralized AI Infrastructure

ACTIVATE AI at a glance: Kubernetes-native. Neocloud-ready. Built for scalable AI and ML workflows.

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Key Capabilities

What sets ACTIVATE AI apart for scalable, production-ready infrastructure

🔐 Automated User & Namespace Access

Integrate user identity and permissions directly into Kubernetes RoleBindings with team-specific namespace isolation — no manual config needed.

📊 Dynamic Resource Quotas

Assign and adjust compute, memory, GPU, and storage limits in real-time across Kubernetes namespaces to support fast-moving AI teams.

💰 Chargeback & Budget Enforcement

Apply usage-based pricing to CPUs, GPUs, RAM, and storage, with 3-minute resolution tracking, budget thresholds, and freeze/shutdown controls.

🎯 GPU Fractionalization

Use NVIDIA MIG or Juice GPU-over-IP to securely partition GPUs and allocate fractions dynamically to users and groups with policy controls.

🔁 Persistent Sessions & Orchestration

Run long-lived services like Jupyter or Stable Diffusion with persistent sessions and submit workloads via UI, CLI, or API — no kubectl required.

🔗 Secure AI Tool Integrations

Federate access to AWS SageMaker, Azure Machine Learning, and OpenAI-compatible apps — no credential sprawl or multi-login overhead.

Testimonials

“ACTIVATE AI will streamline our computational workflows and allow our team to deploy AI models across diverse environments. This flexibility will be crucial in advancing our mission objectives efficiently.”

Junk Wilson, SVP, Government Relations & Compliance, Orion Space Solutions, an Arcfield company
“As enterprises move from AI experimentation to production, managing the complexity of hybrid infrastructure has become a major bottleneck. Solutions like ACTIVATE AI reflect a growing need for orchestration platforms that can unify Kubernetes, GPU-as-a-Service, and legacy systems to help organizations manage resources more efficiently across diverse environments.”

— Mike Leone, Practice Director and Principal Analyst, Data Management, Analytics and AI, Enterprise Strategy Group

Parallel Works Inc.
350 N Orleans St #9000N
Chicago, IL 60654

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