More processing power, same number of slots
XMC GPGPU coprocessors bring parallel processing to SBCs and other compute modules with an XMC site. These field-proven, rugged modules feature powerful capabilities without consuming an additional slot in your system.
|Product Name||Product Image||Function||Generation||Features||PCIe Configuration||Standard||Product Sheet|
|XMC-4902 GPGPU Processor with NVIDIA Quadro Pascal||GPGPU||NVIDIA Quadro Pascal GP107 (768 CUDA cores)||4 GB GDDR5 memory, 96 GB/s max memory bandwidth, 4 independent video outputs||x8 Gen 3||XMC|
Reduce cost, risk, and time to market with COTS hardware
Our broad selection of open-architecture, commercial off-the-shelf (COTS) rugged embedded computing solutions process data in real time to support mission-critical functions. Field proven, highly engineered and manufactured to stringent quality standards, Curtiss-Wright’s COTS boards leverage our extensive experience and expertise to reduce your program cost, development time and overall risk.
The Role of Tensor Cores in Enabling AI and Machine Learning
Tensor cores are indispensable for performing the types of calculations needed for artificial intelligence (AI) and machine learning. The role of AI and machine learning in defense applications is on the rise, making tensor cores critical for defense. In this white paper, you will discover how tensor cores are used in AI and machine learning, and ways to incorporate tensor cores into extremely rugged applications.