Seamlessly extend Kubernetes & SLURM. On-premise and Multi-cloud.
Seamless integration with your existing infrastructure, designed for high-performance computing.
No rip-and-replace. No code changes. No disruption to your teams.
Build for HPC. Native support for SLURM workload manager job queues.
Failure and preemptions force workloads to restart from scratch. Up to 65% of compute wasted.
In high-scale AI infrastructure, capacity is routinely over-provisioned by 10-50% just to maintain reliability and hit SLAs.
Valuable compute remains stranded while critical work is delayed.
Schedulers cannot dynamically adapt to failures, demands, or changing priorities.
Workloads automatically migrate to healthy infrastructure and resume after failures with no lost progress.
Automatic migration and recovery remove the need for large safety buffers to meet SLAs and QoS.
Kubernetes and SLURM adapt workloads in real time to failures and demand.
Workloads shift to idle GPUs, reclaiming capacity and maximizing cluster throughput.
Up to 65% compute lost
Stranded Compute While Jobs Wait
10-50% Capacity Buffers
Schedulers Cannot Adapt
Workloads Resume Automatically
Workloads Migrate to Idle GPUs
Workloads Adjust in Real Time
SLAs and Reliability without Safety Buffers
Native support for NCCL and MPI workloads. Achieve massive scale with note-aware scheduling and low-latency interconnect optimization.
Works with distributed multi-node compute, including NCCL and MPI workloads. Works with both CPU and GPU workloads.
Works across on-premise clusters, hybrid environments, and cloud infrastructure. Scale from a single node, to cluster, to AI factory.
