The Engine for Likelihood-Free Inference is open to everyone, and it can help significantly reduce the number of simulator runs. Researchers have succeeded in building an engine for likelihood-free ...

EdgeQ revealed today it has begun sampling a 5G base station-on-a-chip that allows AI inference engines to run at the network edge. The goal is to make it less costly to build enterprise-grade 5G ...

Machine-learning inference started out as a data-center activity, but tremendous effort is being put into inference at the edge. At this point, the “edge” is not a well-defined concept, and future ...

Most mobile Machine Learning (ML) tasks, like image or voice recognition, are currently performed in the cloud. Your smartphone sends data up to the cloud where it is processed and the results are ...

Any workload that has a complex dataflow with intricate data needs and a requirement for low latency should probably at least consider an FPGA for the job. FPGAs have, of course, been operating in the ...

GDDR7 is the state-of-the-art graphics memory solution with a performance roadmap of up to 48 Gigatransfers per second (GT/s) and memory throughput of 192 GB/s per GDDR7 memory device. The next ...

Every GPU cluster has dead time. Training jobs finish, workloads shift and hardware sits dark while power and cooling costs keep running. For neocloud operators, those empty cycles are lost margin.