Parallel Works, provider of the Activate control plane for hybrid multi-cloud computing resources, announced new AI governance and budget management capabilities for Activate AI, enabling enterprises and government organizations to centrally manage, govern and control AI usage across commercial and privately hosted large language models (LLMs) through a single unified gateway.The Parallel Works Activate AI Gateway addresses the growing challenge of uncontrolled token consumption by applying proven governance principles that enterprises utilize for compute and storage. Designed for large enterprises, government/defense organizations and HPC/research environments, the platform addresses the costly challenge of uncontrolled token use as organizations strive to manage escalating AI usage costs. 

“Organizations are discovering that the future of AI will be defined as much by governance and economics as by the model itself,” said Matthew Shaxted, CEO, Parallel Works. “As AI adoption expands across departments, teams and cloud providers, token consumption is quickly becoming fragmented and difficult to manage. Enterprises need centralized visibility, accountability and financial controls to ensure AI can scale sustainably across the organization.”

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 chargebacks, within a single platform.  Organizations are able to 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 govern AI access and consumption consistently across cloud and on-premises environments while avoiding vendor lock-in.

Key capabilities of the Activate AI Gateway governance module include:

• 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
• AI resource consumption chargeback and cost accounting
• Single-pane-of-glass management integrated into existing compute and storage governance

“Our customers are demanding stronger AI governance capabilities to ensure AI can be deployed securely, responsibly, and at scale,” said Chris Coker, VP, major accounts, aerospace & defense, FutureTech. “The combination of token budgeting, usage visibility and chargeback, integrated directly into the compute governance environment, gives our clients the controls they need to scale AI responsibly and with confidence.”

Activate AI Gateway governance capabilities 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 govern AI resources efficiently across cloud and on-premises environments.  

“Developers consistently want the state of the art, and in AI, that\’s changing day by day. Activate AI gives organizations a unified governance layer across both commercial AI APIs and private infrastructure, which is critical for anyone running hybrid environments,” said Michael McQuade, director, engineering, Parallel Works. “Enterprises want to expand AI access across their teams, but without governance controls, costs and operational risks spiral fast.“

Availability
The Activate AI Gateway governance and token budgeting capabilities are now available. The functionality is designed for large enterprises, government and defense organizations, HPC environments and research institutions that deploy private GPU infrastructure or consume commercial AI APIs at scale.