Parallel Works, the ACTIVATE control plane for hybrid multicloud computing resources, announced new AI governance and budgeting capabilities in ACTIVATE AI. It enables businesses and government agencies to centrally manage, govern, and control the use of AI across commercial and privately hosted large-scale language models (LLMs) through a single unified gateway.
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“Organizations are beginning to realize that the future of AI will be determined not only by the model itself, but also by governance and economics,” said Matthew Shaxted, CEO of Parallel Works.
Parallel Works ACTIVATE AI Gateway addresses the growing challenge of uncontrolled token consumption by applying proven governance principles that enterprises rely on for compute and storage. The platform is designed for large enterprises, government/defense organizations, and HPC/research environments to address the costly challenge of uncontrolled token usage as organizations seek to manage the increasing costs of using AI.
“Organizations are beginning to realize that the future of AI will be determined not only by the model itself, but also by governance and economics,” said Matthew Shaxted, CEO of Parallel Works. “As AI adoption expands across departments, teams, and cloud providers, token consumption is rapidly becoming fragmented and difficult to manage. Enterprises need centralized visibility, accountability, and financial control to ensure AI can scale sustainably across their organizations.”
The ACTIVATE AI platform is differentiated by its ability to combine hybrid compute orchestration, GPU governance, Kubernetes management, and AI consumption governance, including token budgeting and chargeback, within a single platform. Organizations can centrally connect commercial AI services and self-hosted LLMs from a unified, vendor-neutral API gateway.
The platform supports all OpenAI-compatible providers, Anthropic, Azure OpenAI, AWS Bedrock, and privately hosted LLM models, allowing organizations to consistently manage AI access and consumption across cloud and on-premises environments while avoiding vendor lock-in.
The main features of the ACTIVATE AI Gateway governance module are:
- Unified virtual API gateway for public and private LLM access.
- Real-time token usage, budget allocation, and reporting.
- Organization-level governance and tracking at the user, group, department, or organization level.
- Chargeback and cost calculation for AI resource consumption.
- Centralized management integrated with existing compute and storage governance.
“Our customers are demanding stronger AI governance capabilities to enable them to deploy AI securely, responsibly, and at scale,” said Chris Coker, Vice President of Aerospace and Defense at FutureTech. “The combination of token budgeting, usage visibility, and chargeback integrated directly into their compute governance environment gives our clients the control they need to scale AI responsibly and with confidence.”
The governance capabilities of the ACTIVATE AI Gateway are currently deployed within FutureTech’s large system integrator environment, supporting thousands of users while managing token consumption across complex AI workloads. The platform helps VARs and system integrators control inference costs and efficiently manage AI resources across cloud and on-premises environments.
“Developers consistently want to be on the cutting edge, but with AI, that changes every day. ACTIVATE AI provides organizations with a unified layer of governance across both commercial AI APIs and private infrastructure, which is important for anyone running a hybrid environment,” said Michael McQuade, Director of Engineering at Parallel Works. “Enterprises want to expand access to AI across their teams, but without governance controls, costs and operational risks quickly increase.”
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