HILLSBORO, Ore.--(BUSINESS WIRE)--Lattice Semiconductor Corporation (NASDAQ: LSCC), the low power programmable leader, today extended its portfolio of comprehensive low power FPGA-based solution ...

HILLSBORO, Ore.--(BUSINESS WIRE)--Lattice Semiconductor (NASDAQ: LSCC), the low power programmable leader, today introduced the Lattice Drive™ solution stack to enable the accelerated development of ...

Generative AI looks different from anything most working IT professionals have seen before. The hardware differs from traditional servers, bringing new power and cooling concerns into the data center.

Hewlett Packard Enterprise (HPE) today revealed a stack of software and hardware for 5G open radio access networks (RAN) that it plans to make commercially available before July. The HPE Open RAN ...

The newly formed Ultra Ethernet Consortium—whose members also include AMD, Broadcom, Cisco and Hewlett Packard Enterprise—seeks to ‘build a complete Ethernet-based communication stack architecture’ ...

Aiming to address a telecoms industry that it says is amidst unprecedented technological transformation, with 5G promising to revolutionise the landscape, Hewlett Packard Enterprise has established ...

This is the first article in a four-part series that explores using Intel HPC Orchestrator to solve HPC software stack management challenges. The complete report, available here, outlines some of ...

Lattice sensAI Solution Offers new Features for Power-Efficient AI/ML Inferencing Lattice Semiconductor introduced a roadmap of low-power, AI/ML-enabled solutions to improve battery life and ...

‘We believe that where telecom companies implement an Open RAN strategy solution versus a proprietary solution they are looking at about a 25 percent reduction in total cost of ownership,’ says HPE ...

This article introduces a DALI 2.0 slave software stack for XMC 1000 microcontrollers. This stack was developed by Infineon in close cooperation with Xenerqi and accelerates design of LED lighting ...

Developing an agile software stack is important for successful AI deployment on the edge. We regularly encounter new machine learning models created from multiple AI frameworks that leverage the ...