Thelio Astra is meticulously engineered for the demands of AI and autonomous driving developers: arm-native development on Ampere, PCIe expansion for AI accelerators, preinstalled drivers, and lifetime in-house support from a team of highly-rated experts.
The Starling server with Ampere processors is the ideal platform for high-performance ARM build CI and AI inference workloads. Unleash scalable performance with up to 192 cores on AmpereOne.
Ampere® Altra® Developer Kit (AADK) enables quickly prototyping new edge AI and embedded solutions. It includes COM-HPC Ampere Altra module and carrier board. Custom carriers with specialized I/O and very small sizes can be developed.
Ampere® Altra® Developer Platform (AADP) is an arm64 developer desktop for AI and software development, especially within the automotive industry due to “arm native” parity with automotive ECUs.
Supermicro offers customers access to Ampere® Altra® family of processors and AmpereOne® family of processors in its MegaDC server series supporting configurations from 32 to 192 cores per CPU socket.
Meet the Kinara Ara-2 AI processor, the leader in edge AI acceleration. This 40 TOPS powerhouse tackles the massive compute demands of Generative AI and transformer-based models with unmatched cost-effectiveness.
Kinara Ara-1 edge AI processors are the engines powering the next generation of smart edge devices. Built around a flexible and efficient dataflow architecture and supported by a comprehensive SDK, Ara-1 processors deliver the performance and responsiveness needed for real-time AI computing and decision-making.
The new Ampere servers configured by ASA Computers feature Cloud Native Processors that offers industry-leading core density, server efficiency, and per-rack performance, with up to 192 cores providing the best performance/$ compute for AI inferencing.
Ampere’s inference acceleration engine is fully integrated with Pytorch framework. PyTorch models and software written with PyTorch API can run as-is, without any modifications.
Ampere’s inference acceleration engine is fully integrated with Pytorch framework. PyTorch models and software written with PyTorch API can run as-is, without any modifications.
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