Frontgrade, Vorago team for autonomous AI in space
Frontgrade Technologies is working with processor supplier Vorago Technologies are developing scalable AI platforms for autonomous space systems.
The two are developing references designs based on Vorago’s space-certified processors for in-orbit autonomy, real-time data processing, and AI capabilities.
They will also align their long-term technical roadmaps for integration of the Vorago processing architectures into a progression of compute modules from Frontgrade, previously CAES. These modules can be configured for a wide range of mission profiles from small satellites to crewed exploration systems. Vorago has developed a dual core ARM-based system on chip (SoC), the VA7230, with two Cortex-A72 cores running up to 1.5 GHz with L1 and shared 1 MB L2 caches with ECC error correction as well as a NEON SIMD data engine and FPU for space AI applications running on an integrated 3D GPU. This provides up to 10.4 GFLOPS of performance and runs OpenCL 1.2, OpenGL ES 3.1 with 256KB on-chip SRAM
The two expect to announce additional developments including new product releases, reference designs, and evaluation platforms in the coming months.
“This joint effort reflects Frontgrade’s commitment to innovation and our belief in the power of collaboration,” said Tommy Reed, Chief Growth Officer at Frontgrade Technologies. “By leveraging VORAGO’s rad-hard processing architecture, we’re positioned to accelerate the deployment of scalable, space-qualified computing platforms that meet the evolving needs of commercial and government space missions.”
“As space systems grow more autonomous and data-intensive, the need for reliable, high-performance computing grows exponentially,” said Ken Obuszewski, Vice President of Business Development and Product at VORAGO. “Working together with an industry leader like Frontgrade, allows for solutions that will power the future of space exploration and commercial space infrastructure.”
www.vorago.com; www.frontgrage.com
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