High-Performance Computing and GPU Acceleration for Mission Workloads
Design and deployment of a high-performance computing cluster with GPU acceleration to support computationally intensive mission applications including AI training, scientific simulation, and signals processing.
Challenge
- Existing compute infrastructure cannot keep pace with growing AI/ML and simulation workloads
- Long queue times and resource contention on shared HPC resources
- Need for GPU-accelerated compute within a secure, accredited environment
Approach
- Profile workload characteristics to determine optimal GPU/CPU ratios and interconnect requirements
- Design dense compute clusters with high-bandwidth, low-latency fabric (InfiniBand/RoCE)
- Implement job scheduling and resource management for multi-tenant usage
- Integrate with existing storage systems and establish data pipeline automation
Typical Outcomes
- Dramatically reduced model training and simulation run times
- Improved researcher productivity through reduced queue wait times
- Scalable platform ready for next-generation AI/ML workloads
Procurement Paths
- NASA SEWP V for HPC hardware and GPU accelerators
- ITES-4H for Army compute infrastructure
- GSA MAS for integration and professional services
Partner Technology Examples
- NVIDIA
- AMD
- Hewlett Packard Enterprise
- Dell Technologies
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Explore Odin's Edge →Frequently Asked Questions
What GPU platforms does Norseman deploy?
Norseman is a partner with NVIDIA and AMD for GPU compute platforms. NVIDIA H100, A100, and L40S configurations are available for AI training workloads. HPE, Dell, and Supermicro server platforms are used for HPC node deployment.
How is HPC infrastructure procured through government contracts?
HPC and GPU hardware is available through NASA SEWP V and ITES-4H. Both vehicles support large hardware procurements. Norseman can deliver complete cluster solutions including racking, networking, cooling, and software stack configuration.