Kubernetes-Native GPU Orchestration
ACTIVATE AI unifies Kubernetes, GPU-as-a-Service, and AI workflows in the ACTIVATE control plane. Run training and inference across any cloud without deep Kubernetes expertise.
Managed Kubernetes for AI
GPU clusters without the overhead
Launch GPU-accelerated Kubernetes clusters in minutes with drivers, runtimes, and scaling policies preconfigured. ACTIVATE AI removes the operational burden while keeping full flexibility for advanced users.
- Provision GPU-backed Kubernetes clusters on any cloud
- Preconfigured CUDA, NCCL, and container runtimes
- Autoscaling policies tuned for AI workloads
- Self-service access without deep Kubernetes expertise
- Consistent configuration across environments
GPU Provider Management
Pool, share, and slice accelerators
Optimize GPU utilization with pooled capacity, fractional GPU support, and workload-aware scheduling. Keep teams productive while reducing idle spend.
- Pooled GPU capacity across clouds and providers
- Fractional GPU support for smaller workloads
- Mixed instance types and GPU generations
- Fair-share scheduling and quota enforcement
- Real-time utilization and capacity insights
Unified AI + HPC Control Plane
One platform for every workload
Run AI, HPC, virtualized, and remote desktop workloads side-by-side with shared identity, governance, and cost controls. ACTIVATE keeps teams aligned across infrastructure.
- Single identity and access model across workloads
- Unified cost tracking and chargeback reporting
- Shared data access across AI and HPC pipelines
- Policy-based governance for compliance
- Works across AWS, Azure, GCP, OCI, and on-prem
AI Workload Orchestration
From training to inference
Build repeatable AI pipelines for training, tuning, and inference. Orchestrate jobs, schedule runs, and integrate with existing tools without managing the plumbing.
- Orchestrated training and batch inference jobs
- Pipeline automation with scheduling and retries
- Integration points for GitOps and CI/CD
- Model validation and artifact tracking hooks
- Portable workflows across environments
Built for AI Teams
Everything you need to operationalize AI across any infrastructure
Framework-Ready Environments
Prebuilt stacks for PyTorch, TensorFlow, and popular AI toolchains
Secure Access Controls
SSO, OIDC, LDAP, and role-based access built in
Usage-Based Cost Controls
Budget guardrails, chargeback, and spend analytics
GPU Marketplace Access
Tap into specialized GPU providers through ACTIVATE
Ready to Scale AI Workloads?
See how ACTIVATE AI streamlines GPU access, orchestration, and governance.