The scheduler is the heartbeat of the cluster. We move beyond default configs to implement topology-aware scheduling that respects your specific hardware geometry.
Fairshare Algorithms: Priority weighting for multi-tenant equity
cgroup Containment: Preventing memory leaks from crashing nodes
Hybrid Policies: Seamless bursting to AWS/Azure when queues overflow
A cluster is only as fast as its fabric. We diagnose and resolve the "invisible" network congestion that standard monitoring tools miss.
Subnet Management: OpenSM tuning and routing algorithms
Driver Optimization: Tuning OFED parameters for specific message sizes
Topology Design: Non-blocking Fat Tree and Dragonfly architectures
Storage I/O is the most common bottleneck in modern HPC. We architect for massive throughput, ensuring your GPUs are never left starving for data.
Kernel Bypass: Direct NVMe access for microsecond latency
Tiering Automation: Policy-based movement from Flash to S3 Object Store
Metadata Tuning: optimizing for millions of small files (bio/genomics)
Dependency hell is the enemy of productivity. We implement Apptainer (formerly Singularity) to allow researchers to bring their own environments—running PyTorch, TensorFlow, or custom pipelines at near-native speed without compromising host security.
GPU Integration: Seamless pass-through for NVIDIA CUDA libraries
Bind Mounts: Auto-mapping high-performance storage (WEKA) into containers
SIF Build Pipelines: Automating container builds from GitHub Actions
A cluster that depends on manual tweaks is a ticking time bomb. We treat your OS (Rocky/RHEL) as code. Using Ansible, we ensure that every node, from the login servers to the compute nodes, is identical, version-controlled, and instantly reproducible.
Drift Detection: Automatically reverting manual changes to ensure stability
Rolling Updates: Patching the OS without draining the entire cluster
Security Hardening: Enforcing SELinux policies automatically