Overview
This engagement establishes a high-performance Azure HPC foundation using advanced compute, networking, and storage to validate production readiness for large-scale workloads.
What You Will Gain
- Enterprise-Scale HPC: Highly scalable environment for complex, compute-intensive workloads.
- Advanced Networking & Storage: Access to Infiniband or ExpressRoute and high-throughput storage solutions like Weka.io or Hammerspace.
- Performance at Peak Load: Optimized for AI/ML, simulations, and other high-priority HPC tasks.
- Cloud Efficiency & Cost Control: Leverage Azure on-demand resources with built-in security, reducing infrastructure maintenance.
What Is Included
Scope includes end-to-end deployment, validation, and optimization support for enterprise HPC workloads on Azure.
- Comprehensive Azure CycleCloud and advanced Slurm deployment for high-performance workloads.
- High-throughput storage via Weka.io or Hammerspace.
- High-speed connectivity using Infiniband or ExpressRoute.
- Extensive performance testing across large-scale HPC workloads.
- Detailed report including performance metrics, cost analysis, and production-readiness recommendations.
- Additional 2-week post-deployment optimization support.
Engagement Timeline
- Assessment: Review HPC requirements and target performance
- Design: Architect large-scale Azure HPC environment with specialized storage, compute, and networking
- Deployment: Configure CycleCloud, Slurm, and integrate advanced networking and storage solutions
- Testing: Conduct extensive performance validation of complex workloads
- Review & Reporting: Deliver detailed performance, cost analysis, and recommendations
- Overall Duration: 12 Weeks + 2 Weeks Optimization Support
Who This Offer Is For
- Organizations with high-complexity, large-scale HPC workloads.
- Teams running AI/ML applications, simulations, or other compute-intensive tasks.
- Enterprises requiring ultra-low latency networking and high-throughput storage in the cloud.
Prerequisites
- Azure subscription with sufficient HPC compute capacity.
- Clearly defined large-scale workloads for testing.
- Understanding that job execution volume will be limited during the PoC.
- Agreement to evaluate production deployment or decommissioning at conclusion.
