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Mercury Unveils New High Performance Graphics Processor

TURING Architecture-based GPU Detects Threats Faster

Mercury Systems announced the release of its new GSC6204 OpenVX 6U NVIDIA TURING architecture-based graphics processing unit (GPU) on 11 June.

Artificial intelligence, radar, EO/IR imagery, cognitive EW and sensor fusion applications all require high-performance computing capabilities closer to the sensor for increased effectiveness. Mercury’s purpose-built GSC6204 module incorporates NVIDIA TURING GPU architecture to bring the latest advancements in processing and scale to the embedded domain. Powered by dual NVIDIA QUADRO TU104 processors and incorporating NVIDIA’s NVLink high-speed direct GPU-to-GPU interconnect technology, the module delivers the same massive parallel processing capability found in data centres. Combined with Mercury’s HDS6605 Intel XEON scalable server blade, SCM6010 fast storage, SFM6126 wideband PCIe switches, streaming IOM-400 I/O modules and ruggedised to withstand environmental extremes, these GPU co-processing engines are a critical component of a truly composable high-performance embedded edge compute (HPEEC) environment unmatched by competing solutions.

Our customers need real-time, data centre-level performance in their platforms to process the unrelenting streams of data from high-resolution, long-range sensors,” commented Joe Plunkett, VP/General Manager of Mercury’s Sensor Processing group. “As part of our commitment to Innovation That Matters, we’re leveraging NVIDIA GPU technology to embed the latest parallel processing capabilities into ruggedised solutions and bring supercomputing closer to the edge. By making commercial technology profoundly more accessible to aerospace and defence, we can more rapidly turn sensor data into actionable information.”

Mercury Systems is doing great work in harnessing the power of NVIDIA GPUs in their solutions,” added Anthony Robbins, VP Federal at NVIDIA. “The rapid advancements made in parallel processing and HPC have had a significant impact on the ways that companies like Mercury are applying AI to solve real-world problems across all industries.”

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Publish date

06/12/2020

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