Parallel Works, provider of the ACTIVATE control plane for hybrid multi-cloud computing resources, includes ACTIVATE AI to help organizations operationalize artificial intelligence (AI) and machine learning (ML) workloads.
Operationalizing AI presents an array of challenges. Many enterprises manage fragmented infrastructure across Kubernetes, cloud and legacy systems; face high costs and underutilization of GPU resources; and lack a consistent path from research to scalable, production-ready AI.
ACTIVATE AI addresses these hurdles by unifying infrastructure under one control plane, enabling GPU fractionalization with cost tracking across Kubernetes, virtual machines and cloud-native environments, and simplifying the move from experimentation to deployment across hybrid and distributed environments.
Kubernetes Support
Kubernetes is becoming essential for running modern enterprise, AI, and ML workloads, but it often requires specialized knowledge to use. ACTIVATE's Kubernetes provider changes that. With just a few clicks, organizations can integrate their Kubernetes clusters into the same intuitive environment they already use to run remote desktop, HPC, or virtualized workloads.
AI Resource Integrations
ACTIVATE enables seamless provisioning and federated user access to AWS SageMaker, Azure Machine Learning, and OpenAI-Compatible chat apps.
Neocloud Support
We've partnered with a diverse set of GPU providers to deliver high-performance, cost-effective, and globally available infrastructure for AI workloads. These partnerships enable vendor-neutral, flexible deployment options across public cloud, on-premises systems, and hybrid environments.
Automated User Access: Plug in existing Kubernetes clusters, on-premises or in the cloud, and gain fine-grained control over resource allocation (GPU, CPU, RAM) across projects and teams. ACTIVATE identifies and gives permissions directly integrated into RoleBindings for Kubernetes user access.
Dynamic Resource Quotas: Define compute, memory, GPU, and storage limits at the Kubernetes namespace-level. Then dynamically apply quota adjustments in real-time for distributed project teams.
Chargeback, Showback & Budget Enforcement: Assign usage-based pricing and track internal resource consumption across Kubernetes clusters for accurate budgeting, optimization and accountability.
Seamless Fractionalization of GPUs: Manage and allocate GPU resources across multiple users on both MIG-enabled and non-MIG GPUs, with dynamic partitioning powered by Juice Labs integration.
Multi-Infrastructure Orchestrations & Persistent Sessions: Seamlessly run and migrate workloads across Kubernetes, batch schedulers, OpenStack, VMware and virtual desktops, making ACTIVATE AI a true hybrid orchestrator.
