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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 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.

Features
  • Cost-effective NVIDIA-based modules
  • Advanced compute acceleration
Foundries & Process Nodes
Foundry Process Nodes
All Foundries All Process Nodes
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
GPU Models NVIDIA Quadro T600 and T1000
FP32 Performance Up to 2.5 TFLOPs
Memory Options 4GB to 8GB GDDR6
Power (W) 38W to 50W
Availability All Countries & Regions
Applications
  • AI-Based Signal Classification
  • Semiconductor Testing
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