The Condor GR5S-AD2000 is an advanced SOSA™-aligned 3U VPX graphics and GPGPU card, purpose-built for embedded systems in unmanned platforms, high-performance edge computing, and tactical applications. Powered by the cutting-edge NVIDIA RTX 2000 GPU, leveraging the Ada Lovelace architecture, this card combines exceptional graphics rendering capabilities with powerful general-purpose GPU (GPGPU) computing. Its compact and ruggedized design ensures flawless operation in demanding environments, including aerospace, defense, and autonomous systems.
The Condor GR5S-AD2000 represents the pinnacle of embedded GPU performance, ensuring unmatched computational power in a SOSA™-aligned, VITA-compliant solution. Its innovative architecture not only delivers exceptional performance but also ensures interoperability and longevity in open system frameworks, making it a future-proof choice for defense and unmanned systems engineers.
Key features
Embedded GPGPU Performance
- NVIDIA RTX 2000 Ada GPU: Delivers up to 12.4 TFLOPS of single-precision compute performance, ideal for AI inference, image processing, and accelerated computing tasks.
- Support for CUDA 12 and Tensor Cores, enabling seamless integration of deep learning and complex data analysis workflows.
SOSA™-Aligned Solution
- Fully compatible with SOSA™ Technical Standard, streamlining interoperability and modularity in defense systems.
- Complies with VITA 65 (SOSA-aligned slot profiles) and other key VITA standards for open system architecture.
High-Speed Data Transfer
- Integrated PCIe Gen 4 Switch and RDMA support for ultra-fast data pathways and low-latency communication.
- Embedded codec engines accelerate video encoding and decoding, supporting real-time ISR (Intelligence, Surveillance, and Reconnaissance) operations.
Optimized for Rugged Deployments
- Engineered to withstand extreme environmental conditions, including shock, vibration, and temperature variations.
- Operates seamlessly in SWaP (Size, Weight, and Power)-constrained environments, ensuring efficient deployment on mobile platforms.
