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All IPs > Graphic & Peripheral > GPU > Trifecta-GPU

Trifecta-GPU

From RADX Technologies, Inc.

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Description

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.

Features
  • Easy-to-program via MATLAB, Python, C/C++
Foundries & Process Nodes
Foundry Process Nodes
All Foundries All Process Nodes
Tech Specs
Class Value
Categories Graphic & Peripheral > GPU
Processor > CPU
Processor > DSP Core
Processor > AI Processor
Platform Level IP > Multiprocessor / DSP
GPU Model NVIDIA RTX A2000
FP32 Performance 8.3 TFLOPS
Memory 8GB GDDR6
Power (W) 29W to 58W
Availability All Countries & Regions
Applications
  • Signal Processing
  • Machine Learning Inference
  • AI Operations
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