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

Catalyst-GPU

From RADX Technologies, Inc.

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Description

The Catalyst-GPU range offers NVIDIA-based, cost-effective PXIe/CPCIe modules that deliver advanced graphics and compute acceleration for signal processing and ML/DL applications. Catalyst-GPUs support the Quadro T600 and T1000 GPUs, providing high-performance capabilities onto the PXIe/CPCIe platforms widely utilized in growing areas such as Modular Test & Measurement and Electronic Warfare.

These GPUs offer unmatched computational performance, especially where data is acquired, by performing fast and accurate data analysis directly within the system. Supporting extensive programming frameworks such as MATLAB, Python, and C/C++, Catalyst-GPUs facilitate the straightforward integration of GPU acceleration into existing workflows, benefiting users across Windows and Linux environments.

With multi-teraflop performance, the Catalyst-GPU units excel in tasks requiring substantial computational power, such as Machine and Deep Learning inferencing. Equipped with features enabling enhanced accuracy and resolution bandwidths, it ensures a higher level of performance previously unattainable in non-GPU systems, allowing for more detailed signal processing and analysis.

Features
  • Advanced graphics and compute acceleration
  • Multi-teraflop performance levels
Tech Specs
Class Value
Categories Graphic & Peripheral > GPU
Processor > AI Processor
Processor > Security Processor
Processor > Vision Processor
Processor > DSP Core
Platform Level IP > Multiprocessor / DSP
Platform Level IP > Processor Core Dependent
Graphics Power (TGP) 38W - 50W
Compute Performance 1.7 - 2.5 FP32 TFLOPS (T600, T1000 Models)
Memory 4GB - 8GB GDDR6
Power (W) 38W - 50W
Availability All Countries & Regions
Applications
  • Signal Processing
  • Graphics-intensive applications
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