At the Association of Old Crows (AOC) 2022 Annual Convention, RADX Technologies announced the Trifecta-GPU Family of COTS PXIe/CPCIe GPU Modules. Trifecta-GPUs are the first COTS products that bring the extreme to compute acceleration and ease-of-programming of NVIDIA® RTX® A2000 Embedded GPUs to PXIe/CPCIe platforms for modular Test & Measurement (T&M) and Electronic Warfare (EW) applications.
Designed to complement RADX Catalyst-GPU products announced earlier this year, Trifecta-GPUs deliver even greater compute performance by employing NVIDIA RTX Embedded GPUs. The Trifecta-GPU model introduced at AOC 2022 is based on the RTX A2000, which features 8GB of GDDR6 DRAM, PCIe Express 4.0 and up to 8.3 FP32 TFLOPS peak compute performance. As with Catalyst-GPUs, Trifecta-GPUs feature comprehensive support for MATLAB, Python, and C/C++ programming, as well as industry-best support for virtually all popular computing frameworks, making Trifecta-GPUs easy-to-program for both Windows and Linux operating environments. With their extreme levels of performance, Trifecta-GPUs are ideal for the most demanding Signal Processing, Machine Learning (ML) or Deep Learning (DL) inference applications for AI-based signal classification and geolocation, semiconductor & PCB testing, failure prediction, failure analysis, and other important missions.
Trifecta PXIe/CPCIe GPUs – Flexible and Scalable
Many PXIe and CPCIe chassis are limited to 38W/Slot for input power and thermal dissipation. To address this, Trifecta-GPUs are available in both single and dual-slot configurations, with dual-slot configurations for 38W/Slot conventional and legacy chassis and single-slot configurations for NI Chassis that support 58W/Slot and 82W/Slot.
With a peak performance of 8.3 FP32 TFLOPS, the new Trifecta A2000 GPU delivers compute acceleration that’s almost 5x that of the Catalyst T600 GPU and over 20x that of a Xilinx® Kintex® Ultrascale® KU060 FPGA. Until now, this level of compute acceleration has not been available in PXIe/CPCIe systems.
With Catalyst and Trifecta PXIe-GPUs, users can now conduct fast and accurate signal analysis and machine and deep learning on acquired data - directly in the PXIe/CPCIe systems where the data is acquired. “With over 8.3 FP32TFLOPS, the Trifecta A2000 GPU brings remarkable compute acceleration and compelling price-performance to PXIe systems,” said Ross Q. Smith, RADX Co-founder and CEO.
“Combined with the flexibility of single and dual-slot configs, long life cycle support, and ease-of-programming, Catalyst and Trifecta-GPUs enable PXIe users and integrators to develop their GPU-accelerated software once, and then select the Catalyst or Trifecta GPU that’s appropriate for their application and budget, for both legacy and new systems, without changing their software.”
Easy-to-Program via MATLAB, Python, C/C++ and LabVIEW
One of the most important aspects of Catalyst and Trifecta GPUs is their ease-of-programming, which stems from their underlying NVIDIA GPUs that support programming via MATLAB TM, Python and C/C++ that enable compute acceleration via NVIDIA CUDA® and OpenCL®. This ease of programming has resulted in NVIDIA GPUs becoming the most popular compute accelerators in the world today - with millions of engineers, developers and computer scientists using NVIDIA GPUs to accelerate their applications. Catalyst and Trifecta GPUs support both Windows and Linux operating environments. In addition, Catalyst and Trifecta GPUs support popular AI and other frameworks, including LabVIEWTM, MATLAB TM, TensorFlow, PyTorch, RAPIDS AI and RAPIDS cuSignal, to name a few.
About Trifecta-GPUs
Trifecta-GPU models announced today include single and dual-slot versions of the embedded RTX A2000 GPU, which are available in a single-slot and a dual-slot PXIe module. Trifecta-GPUs support PCIe Gen 4 x8 interfaces for optimal, future-proof performance and 4x miniDP outputs for multi-monitor applications with resolutions up to 4k. The Trifecta A2000 GPU supports 8GB of GDDR6 memory, up to 8.3 FP32 TFLOPs and a Total Graphics Power (TGP) of 58W. The single-slot module is ideal for NI PXIe-1092 or PXIe-1095 chassis, which support 58W/Slot or 82W/Slot. The dual-slot version dissipates 29W/Slot TGP, which makes it suitable for all NI and 3rd party PXIe chassis.
Pricing and Availability
Trifecta A2000 Single-Slot and Dual-Slot GPUs have list prices of $6,999 and $7,499, respectively. Lead time for single units is typically 30 days, starting in Q123. Trifecta-GPUs are BAA & TAA Compliant and will be available on GSA via TestMart.
RADX Technology will provide datasheets and more information about Trifecta-GPU products soon.
Click here to learn more about RADX Trifecta Modules.
