Embedded Composable Data Center
GSC6204 GPU co-processing engines are a critical component of a truly composable high-performance embedded edge compute (HPEEC) environment with processing power unmatched by competing approaches. Combined with Mercury’s HDS6605 Intel® Xeon® scalable server blades, SCM6010 fast storage, SFM6126 wideband PCIe switches and streaming IOM-400 I/O modules forms a truly composable high-performance embedded edge compute (HPEEC) environment. The HPEEC approach leverages the same tools, architecture and software used in the data center, enabling your application to scale from the cloud to the edge with ease.
The Anatomy of a Rugged GPU Co-Processor Module
GSC6204 modules protect electronics, keeping them cool for long, reliable service lives and delivering consistent switch fabric performance across a broad temperature range. Our proven fifth generation of advanced packaging, cooling and interconnects technologies enable GSC6204 modules to be the first GPU powered OpenVPX co-processors that are truly rugged for applications requiring protection from harsh environments. For extreme environmental protection, GSC6204 modules are available with optional MOTS+ technologies.
Affordable, Interoperable and Upgradable
Place the best technology in your application faster by building your next HPEEC processing solution with compute modules that are made to open architectures including Sensor Open System Architecture (SOSA) for interoperability, scalability and reuse. Further drive affordability and performance and lower your program risk by using the architecture that evolves at the speed of technology, follows industry technology roadmaps and leverages data center hardware, software and IP.
Gain the Competitive Edge
The HPEEC architecture enables you to deploy smarter and more automatous platforms and compute-intense sensor processing solutions that require data center capabilities closer to the data source – at the edge. Efficiently process streaming data over a distributed, heterogeneous PCIe-enabled and scalable common data center architecture. Then leverage the data center software and tools to drive your program velocity, while lowering your risk through much greater IP reuse.
- NVIDIA Tensor and Ray Tracing Cores for AI and graphics applications
- 6144 CUDA cores and 32GB GDDR6 memory
- PCIe Gen 3 and NVIDIA NVLink high-speed interconnects
- SOSA aligned and VITA 65 compliant
- NVIDIA, CUDA and OpenCL software support
- Optional MOTS+ extreme environmental protection
- Designed, built, coded and supported from trusted DMEA facilities
- 6U OpenVPX, standard 1-inch pitch module
- Weight 2 to 3Kg depending upon configuration