Chrono for Research Labs
Scheduling intelligence for AI research environments. Optimizes for getting from hypothesis to result, not just raw GPU utilization. Enforces equitable access across teams.
Chrono for Enterprise
GPU workload orchestration for shared enterprise infrastructure. Handles mixed workloads under a single fairness and utilization framework. Adapts continuously without operator intervention.
ChronoNeo
Cloud-native GPU scheduling for next-generation cloud providers. Designed for the economics of cloud infrastructure, maximizing revenue per GPU and enforcing contractual SLAs.
ChronoHyper
Extreme-scale scheduling for frontier compute infrastructure. For the largest GPU clusters on earth, addressing challenges where standard approaches fail. Quantum-integrated path.
Compare Chrono Product Tiers
ChronoNeo
ChronoHyper
Cloud-native GPU scheduling for next-gen cloud providers. Optimizes for commercial outcomes. For 10K-100K GPUs. Contractual SLAs. Available 2027.
Extreme-scale scheduling for frontier compute infrastructure. Quantum-Integrated. For 100K-1M+ GPUs. Mission-critical SLAs. In development.
Chrono Enterprise
GPU workload orchestration for shared enterprise infrastructure. Handles mixed workloads. For 1K-10K GPUs. Internal SLAs. Available now.
Deployment Workflow
Kubernetes-Native
Observation Mode
Air-Gapped by Design
Configuration via Profiles
Helm-deployed and compatible with existing SLURM, bare metal, and cloud environments. Integrates seamlessly into your current infrastructure.
Chrono starts in observation mode, allowing you to see results and verify performance before the system takes any live actions on your workloads.
Operates without network access, cloud services, or external dependencies. No telemetry, no cloud dependency, and no vendor lock-in.
Configure Chrono via declarative profiles. No code changes required, ensuring smooth integration and rapid deployment across your environment.
We work with a small number of partners at a time. If you're serious about extracting full value from your AI compute investment, let's talk.
