HPC Cloud Infrastructure

Common Challenges & Technical Drivers

• Bottlenecks in specialized computational jobs draining budget and stalling research velocity.
• Inability to ingest high-frequency IoT sensor telemetry without message drops.
• Suboptimal GPU memory allocation leading to low computational utilization rates.
• Complexity of managing Slurm job schedulers alongside modern cloud infrastructure.

What Is Included (In-Scope Deliverables)

• High-Performance Computing (HPC) cluster architecture with InfiniBand fabric networking.
• Scalable IoT telemetry ingestion pipeline with edge buffering and MQTT brokers.
• GPU cluster orchestration configured with autoscaling job queues.
• High-throughput shared storage filesystem configuration (Lustre / FSx).

Scope Boundaries & Transparent Exclusions

• Specialized hardware hourly cloud compute and physical appliance costs.
• Authoring custom machine learning algorithms or proprietary mathematical models.
• Physical installation of IoT hardware sensors or edge microcontrollers on site.
• Warranty support for third-party proprietary specialized vendor binaries.

Tangible Engineering Deliverables

• Terraform code provisioning HPC compute clusters with high-performance networking.
• IoT telemetry ingestion pipeline manifests with automated scaling policies.
• Job scheduling scripts and operational runbook for workload batch execution.
• Performance benchmark report validating computational throughput and I/O rates.

Select your target cloud environment and operational scale to view projected engineering capacity and sprint milestones.

Enterprise baseline declaration module deployed as part of this service scope. Fully auditable, zero-lockin, turnkey source code.

resource "aws_pcluster" "gpu_cluster" {
  cluster_name           = "hpc-gpu-workload"
  cluster_configuration  = file("cluster-config.yaml")
  rollback_on_failure    = true
}

Sprint Delivery Roadmap & Phased Milestones

Frequently Asked Questions