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The Trifecta-SSD-RAID module is a high-capacity data storage solution optimized for PXIe/CPCIe systems, designed for applications requiring rapid data throughput and extensive storage. It uniquely accommodates up to eight M.2 NVMe SSDs per module, supporting sequential read and write speeds up to 7 GB/Sec, positioning it as ideal for RF and microwave data recording and playback scenarios. Known for its capacity, each module can manage up to 64TB of storage in a single slot, which is substantially more efficient compared to typical single-slot SSD RAID modules. This exceptional storage capability is crucial for applications necessitating continuous data stream handling over wide bandwidths, where conventional systems might falter. With compatibility across diverse operating systems, from 64-bit Windows to selected Linux distributions, and compliance with multiple regulatory standards (RoHS, you have FCC Class A, and CE among others), the Trifecta-SSD-RAID is a robust choice for high-demand environments.
Trifecta-SSD-RM offers a versatile and economical solution for data storage with its removable M.2 NVMe SSD data cartridges, tailored for PXIe and 3U CPCIe systems. It offers substantial enhancements in read-write capability, outperforming traditional Embedded Controller (EC) SSDs by providing speeds up to 3.5 GB/Sec. Featuring ease of upgrade and scalability with capacities ranging from 1TB to 8TB, this module is ideal for systems requiring dynamic data management capabilities. With a PCIe interface accommodating up to PCIe G3/G4, the system efficiently manages rapid backups and supports frequent security level changes, making it suitable for mission-critical operations. Trifecta-SSD-RM’s scalable architecture meets the rigorous demands of next-generation data acquisition systems, promoting operational flexibility and cost-effectiveness. The well-rounded attributes and adaptability enhance its appeal to organizations seeking to maximize their data handling capabilities.
Catalyst-GbE represents RADX’s high-performance NIC solution for modular PXIe systems, combining cutting-edge Intel and NVIDIA Mellanox technology to deliver high-speed networking capabilities. Ideal for applications that demand rapid data communication, Catalyst-GbE supports configurations including 4x10, 2x25, and 2x100 GbE NICs. Ensuring seamless and cost-effective deployment, this single-slot module boasts industry-leading performance, especially in PXIe environments where maximizing speed and efficiency is critical. The Catalyst-GbE’s advanced architecture effectively meets the bandwidth requirements of contemporary data-driven networks, providing dependable connectivity for a wide range of PXIe system applications. RADX’s Catalyst-GbE NIC modules are crafted to deliver low-latency connections, critical for time-sensitive activities and data-intensive processes, enhancing the overall operability and integration of PXIe-based systems.
The Trifecta-GPU is a sophisticated commercial-off-the-shelf (COTS) peripheral designed to enhance computational capacity by integrating NVIDIA RTX A2000 Embedded GPUs within PXIe/CPCIe platforms. Aimed at modular Test & Measurement (T&M) and Electronic Warfare (EW) applications, it offers unmatched compute acceleration and a user-friendly programming environment. This solution delivers up to 8.3 FP32 TFLOPS peak compute performance, effectively supporting advanced signal processing and machine learning applications. The module supports PCIe Gen 4 x8 interfaces, which future-proofs its performance capabilities, while also featuring 8GB GDDR6 DRAM. The Trifecta-GPU is specifically crafted to maximize compute performance in constrained environments, such as Test & Measurement systems, thereby facilitating efficient analysis of data directly where it is acquired. The versatility of the architecture allows it to support extensive computing frameworks like MATLAB, Python, and C/C++. Trifecta-GPU’s advanced acceleration features include full resolution outputs for multi-monitor setups and specialized programming support for deep learning applications. This modular unit exemplifies how cutting-edge computing power can be seamlessly integrated into existing systems, facilitating ongoing operations without compromising data processing efficiency.
The Orca-C2X system offers an exceptional extension to PXIe systems by integrating NVIDIA GPUs and high-performance PCIe add-in cards (AICs) seamlessly into PXIe ecosystems. This capability allows up to 16 GB/sec PCIe bandwidth without the latency typically associated with remote control systems, facilitating high-speed data handling and processing across diverse applications. Orca-C2X negates the need for Thunderbolt-dependent solutions, enabling any PCIe device to function within PXIe systems. It achieves this through dedicated PCIe lanes and sophisticated re-driver technology which ensures minimal latency. Thus, this system is ideal for applications that rely heavily on immediate data processing and retrieval. Offering flexibility for various chassis and device configurations, including full-height dual-slot cards, Orca-C2X supports future PCIe standards and provides sustained power and efficient cooling solutions. Its design ensures operational transparency across different operating systems, simplifying the integration process and maintaining application performance integrity.
PXIe-GPU modules by RADX deliver comprehensive support for NVIDIA Professional GPUs within the PXIe ecosystem, unlocking enhanced processing capabilities for intensive graphics, video, and data tasks as well as machine learning workloads. Leveraging CUDA, OpenCL, and Tensor Core acceleration, these modules ensure unrivaled performance acceleration for sophisticated applications across various high-performance computing environments. Designed to support up to 91.1 FP32 TFLOPS, they cater superb processing speeds for AI training and real-time inference, thus outperforming traditional Embedded Controller solutions. The module integrates NVENC/NVDEC hardware acceleration for video compression and decompression, accommodating rapid video processing needs at 2k/4k/8k resolutions. These modules allow seamless integration within various PXIe chassis configurations, eliminating the necessity for distinct GPU servers, and enabling easy scalability through LabVIEW, MATLAB, and Python programming interfaces. Their ability to operate on both Windows and Linux environments allows for broad compatibility and facilitates efficient implementation into existing technological frameworks.
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