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RADX's Trifecta-SSD-RAID is engineered to satisfy the rigorous data storage demands of PXIe/CPCIe applications, where efficiency and performance are paramount. It excels in providing high-capacity, high-speed data storage ideal for RF and microwave recording, playback, and sustained data transfer activities, achieving up to 7 GB/Sec in sequential read and write speeds. This efficiency ensures that operational performance doesn’t stumble due to SSD write inconsistencies. The modular design of the Trifecta-SSD-RAID allows it to house up to eight M.2 NVMe SSDs within a single PXIe/CPCIe slot, representing a significant leap in storage capacity—ranging from 8TB to 64TB per slot. This makes it a reliable choice for extensive RF/IF data streaming and long-duration data logging systems, thus supporting the most data-intensive applications with ease and speed. Furthermore, the Trifecta-SSD-RAID is built with compliance to crucial international standards and is easily integrated into varied operating environments, supporting 64-bit Windows and select Linux systems. Its performance metrics not only provide high return on investment but also ensure that industries relying on rapid, heavy data traffic have a sustainable and scalable storage solution.
Providing a versatile and high-performance storage solution, RADX’s Trifecta-SSD-RM serves both PXIe and CPCIe systems well with its M.2 NVMe SSD Data Cartridges that can be easily interchanged. Its design supports breakthrough data speeds of up to 3.5 GB/Sec using PCIe Gen3 interfaces, ensuring quick access to and recording of large volumes of data, critical for intensive data acquisition undertakings. Available in a range of capacities from 1TB to 8TB, the Trifecta-SSD-RM delivers multiple times the capacity of conventional embedded controllers. This module stands out not only for its speed but for its cost efficiency. It is an optimal upgrade path for both existing and new PXIe infrastructures, particularly where security level adaptations and rapid backup investigations are necessary. Notably, this module facilitates software RAID configurations to further enhance data reliability and performance. This adaptability makes the Trifecta-SSD-RM particularly suited to enterprises striving for improved output with robust data collection capabilities, without compromising on economic viability.
The Catalyst-GPU series heralds a new era of computing flexibility and power in the PXIe/CPCIe arena with its integration of NVIDIA Quadro T600 and T1000 GPUs. These modules offer outstanding compute acceleration and significant graphics capabilities, crucial for detailed signal processing and AI-driven tasks, making them indispensable for Modular Test & Measurement and Electronic Warfare applications. Boasting a significant performance gain, the Catalyst-GPU sets the stage for seamless, real-time processing abilities across a range of programming environments including MATLAB, Python, and popular AI frameworks. With multi-teraflop capabilities, the Catalyst-GPU ensures that even the most computationally demanding processes are handled with precision, thereby eliminating bottlenecks in data acquisition and computational tasks. Different models within this lineup are tailored to diverse application needs, maintaining ease of programmatic interaction and integration across both Windows and Linux platforms. This adaptability, coupled with a focus on cost-effective solutions, positions the Catalyst-GPU as a leading candidate for industries looking to enhance their AI application infrastructures.
The Trifecta-GPU series by RADX Technologies represents a leap forward in processing power with the integration of NVIDIA RTX A2000 Embedded GPUs. Designed specifically for high-demand tasks, these COTS PXIe/CPCIe GPU Modules deliver remarkable compute acceleration through 8.3 FP32 TFLOPS performance, making them ideal for advanced signal processing and machine learning inference applications. Enhanced by its use of MATLAB, Python, and C/C++ programming environments, the Trifecta-GPU is well-suited for both Windows and Linux operating systems, providing maximum versatility in deployment. A hallmark of the Trifecta-GPU is its adaptability to various PXIe chassis configurations, making it an excellent fit for both single and dual-slot requirements, accommodating legacy and modern setups alike. Its peak performance is over 20 times more powerful than typical FPGA modules, underlining its pioneering place in the industry. This makes the Trifecta-GPU exceptionally capable in scenarios requiring extensive data analysis and AI-driven tasks. This prominent GPU option offers features like arbitrary length FFTs and exceptional machine learning support—attributes that positions it as a critical tool for endeavors such as signal classification and geolocation. Its BAA & TAA compliant design, combined with a highly competitive price-per-performance metric, makes the Trifecta-GPU an accessible yet powerful choice for those working in sophisticated test and measurement applications.
RADX's Catalyst-GbE is designed to deliver exceptional networking performance within PXIe systems, leveraging Intel and NVIDIA Mellanox NIC technologies to achieve industry-leading robust Ethernet capabilities. Available as COTS, single-slot PCIe NICs, they provide configurations ranging from 10GbE to 100GbE, including a dual 25GbE option, effectively addressing the varied and demanding needs of high-throughput applications. These NICs promise reduced latency and increased throughput, complemented by their compliance with the latest industry standards and protocols. Whether employed in high-speed data transfer operations or configured to handle complex networking tasks, Catalyst-GbE NICs work tirelessly to ensure consistent, high-level performance without crippling delays, thus serving as vital components in infrastructures requiring reliable data streaming and computational networking flexibility. With a focus on balancing cost, performance, and quick deployment capability, the Catalyst-GbE modules are crafted to align smoothly into current systems, offering a solid return on investment and scaling effortlessly as operational demands evolve.
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