The Foundation Suite is a modular, AI-driven RF and signal processing platform designed for high-performance research, deployable prototypes, and field testing.
Combining wideband SDR, high-speed compute, precision calibration, and advanced software IP, it adapts to your unique system needs. Whether for lab, or mission-critical mobile field testing, the Suite allows you to choose the exact components to meet your evolving system needs.
FlexCompute offers FPGA and CPU/GPU-based servers with ultralow latency interconnects for AI-at-the-Edge, 5G DU, Open-RAN vBBU, and satellite applications. Designed for high-throughput test and measurement environments.
C100T – FPGA Baseband Module – Accelerate Edge Intelligence with the FPGA
Baseband Module
The FPGA Baseband Module is purpose-built for high-speed, low-latency data
processing in test and prototyping environments. It transmits and receives digitized data to and from the FlexSDR platform while delivering powerful compute capabilities through large FPGAs and build in optional AI engines.
With support for multiple transport protocols, it connects effortlessly to CPUs and GPUs, enabling flexible, high-throughput system design. Our proprietary data management and
handshaking protocol—completely transparent to the user—ensures optimal performance across multi-processor architectures.
Fully compatible with TruSystems’ NativeAI platform, this module is the ideal foundation for real-time signal processing, edge AI, and next-gen communication systems.
C010T – High-End CPU Compute Server- Unlock High-Speed, Intelligent Connectivity
Our Linux-based, commercial telco-grade advanced compute and connectivity platform
is engineered for ultra-low latency and high-throughput performance. With multiple
100Gbps ports and a high-end CPU, it’s built to handle the most demanding
applications—from AI at the edge to satellite communications.
Seamless integration with FlexSDR modules and full support for Precision Time
Protocol (PTP) ensures accurate synchronization and reliable operation. Thanks to our proprietary data management and handshaking protocol, users benefit from optimized multi-processor performance without added complexity.
Whether you’re prototyping Open-RAN vBBUs, deploying 5G DUs, or building next-gen satellite systems, this platform delivers the speed, intelligence, and flexibility you need.
C011T – Hybrid CPU/GPU Compute Server – High-Performance Edge Server for AI Applications
The C011T is a powerful Linux-based server built for high-speed, low-latency
environments. With integrated CPU and NVIDIA GPU options, it’s designed to handle
compute-intensive workloads at the edge.
Equipped with multiple 100Gbps ports, the C011T ensures seamless, ultra-low latency connectivity with the FlexSDR module. It supports Precision Time Protocol (PTP) for accurate
timing and synchronization across distributed systems.
Thanks to TruSystems’ proprietary data management and handshaking protocol—completely transparent to the user—the C011T maximizes multi-processor performance. It’s fully optimized to process NativeAI RF data from the FlexSDR, making it the ideal platform for edge
AI, advanced wireless system prototyping, and real-time signal processing.
The CalIQ series is the Foundation Suite’s precision calibration engine, ensuring T&M-class measurement performance across all environmental conditions. Designed for both lab and field use, CalIQ maintains gain, phase, and timing alignment for scalable and distributed RF systems.
The AppIQ series adds application-specific processing capabilities to the Foundation Suite, enabling unique measurement features for satellite communications, direct-to-cell networks, and next-generation wireless systems. AppIQ modules integrate seamlessly with TruSystems and the Foundation Suite, providing advanced functionality without additional hardware or software layers.
FlexWave, our family of instrument drivers, is meant for researchers and developers who want to develop their own high-level solutions. Designed for fast SDR development and cross-platform compatibility, there are two options to choose from:
