COMPOSABLE INFRASTRUCTURE FOR NAVY TACTICAL WORKLOADS
Dynamic resources for mission-driven processing
OVERCOMING STATIC INFRASTRUCTURE LIMITS
Navy tactical software is evolving to incorporate containerized applications, commercial technologies, artificial intelligence (AI) and machine learning (ML). However, many tactical processors remain tied to fixed hardware configurations that cannot easily scale to accommodate new applications or changing computational demands.
This rigid approach can leave valuable resources underused while other workloads lack the processing capacity they need. It also complicates technology upgrades, increases the risk of overprovisioning and limits the Navy’s ability to integrate emerging capabilities across tactical environments.
COMPOSABLE RESOURCES FOR DYNAMIC WORKLOADS
Arcfield’s Composable Disaggregated Infrastructure (CDI) Management and Control Layer separates computing resources from fixed hardware configurations to enable flexible resource allocation and scalable processing for evolving tactical workloads. Memory, storage, networking and graphics processing units (GPUs) are pooled across an interconnected fabric and composed through software application programming interfaces based on workload requirements.
Integration with the Kubernetes control plane allows resources to be allocated dynamically as demands change. Fractional GPU allocation supports multiple AI/ML and signal-processing workloads using shared resources, while high-speed network interconnects are designed to reduce latency and central processing unit overhead.
This hardware-agnostic approach transforms static infrastructure into a flexible, rack-level computing environment that can support technology updates, workload scaling and evolving operational requirements.
INCREASING INFRASTRUCTURE FLEXIBILITY
Arcfield’s CDI approach is designed to improve the use of GPUs, processors, memory and other high-value computing resources. Dynamic composition allows resources to be assigned according to real-time workload requirements, reducing the need to dedicate complete hardware systems to individual applications.
Resource pooling can help decrease overprovisioning and limit stranded capacity while supporting demanding AI/ML and signal-processing workloads. High-bandwidth interconnects and shared memory pools also provide a foundation for scaling processing capabilities as mission requirements change.
By enabling more efficient resource allocation, CDI has the potential to reduce the size, weight and power requirements of tactical computing environments. Its flexible architecture can also support edge-processing applications where physical space, power availability and processing capacity are limited.
WHY ARCFIELD
Arcfield brings deep mission understanding and technical expertise to the modernization of Navy tactical infrastructure. Our CDI Management and Control Layer combines hardware disaggregation, software-driven composition and workload orchestration to address the limitations of fixed computing architectures.
Arcfield’s hardware-agnostic approach helps separate tactical applications from specific infrastructure configurations, providing greater flexibility for technology upgrades and changing processing requirements. Our capabilities in GPU composition, network optimization, AI/ML and edge processing support a practical path toward more adaptable tactical computing environments.
KEY FEATURES
Hardware-agnostic resource composition
Dynamic, Kubernetes-integrated resource allocation
Fractional GPU allocation across multiple workloads
High-speed, optimized data paths
Support for tactical and edge environments
