End-to-End Solutions for Faster and More Scalable AI Data Centers

MangoBoost: Programmable AI Infrastructure for Public Sector, Enterprise, and Cloud Environments

MangoBoost develops advanced AI infrastructure acceleration solutions designed to help organizations improve the performance, efficiency, and scalability of modern data centers. The company combines programmable FPGA-based Data Processing Units, AI workload optimization software, and integrated system architectures to address the infrastructure bottlenecks that often limit AI, high-performance computing, storage, and data-intensive workloads.

As AI adoption accelerates across public sector and commercial markets, many organizations face the same core challenge: GPU and CPU resources are expensive, but they are often constrained by inefficient data movement, storage access, network congestion, and under-optimized software stacks. MangoBoost helps solve this problem by improving how data flows across compute, network, and storage infrastructure. The result is better infrastructure utilization, improved workload performance, and a more efficient path from AI experimentation to production deployment.

For public sector organizations, including government agencies, national laboratories, research institutions, and education environments, MangoBoost supports infrastructure modernization without requiring a complete redesign of the data center. The company’s BoostX and BoostX Pro programmable DPU platforms are designed to accelerate critical dataplane functions such as high-speed networking, GPU-to-GPU communication, storage traffic, NVMe-oF, RoCE-based connectivity, and other data-intensive workflows. By offloading and accelerating these functions, MangoBoost can help reduce CPU overhead, improve application responsiveness, and extend the useful life of existing server investments.

MangoBoost solutions are particularly relevant for public sector missions that require secure, scalable, and high-performance infrastructure for AI model development, inference, scientific computing, real-time analytics, and large-scale data processing. Agencies operating under budget, space, power, and procurement constraints can use MangoBoost technologies to improve performance per system while maintaining deployment flexibility across heterogeneous server, GPU, and storage environments.

For commercial enterprises, AI service providers, cloud operators, and GPU infrastructure providers, MangoBoost enables more efficient scaling of AI workloads. GPU clusters are frequently limited by the surrounding infrastructure, including network throughput, storage access, and software orchestration. MangoBoost’s hardware and software stack is designed to keep expensive accelerators better utilized by reducing bottlenecks between compute, memory, storage, and the network.

The company’s LLMBoost software further enhances AI infrastructure by optimizing large language model inference and related AI workloads across heterogeneous compute environments. LLMBoost is designed to improve token throughput, reduce latency, and support scalable deployment of production AI services. When combined with BoostX programmable DPUs and MangoBoost system-level integration, customers receive a practical infrastructure foundation for deploying AI workloads across enterprise, cloud, research, and public sector environments.

MangoBoost helps customers build AI-ready data centers that are more programmable, more efficient, and better aligned to rapidly evolving workload requirements. Rather than forcing organizations into a single fixed architecture, MangoBoost provides adaptable acceleration technologies that can support today’s AI infrastructure requirements while preserving flexibility for future compute, networking, and storage evolution.