training Archives - Page 2 of 2

Google Chips Away at Problems at “Mega-Batch” Scale

August 9, 2021 Nicole Hemsoth Prickett 0

As Google’s batch sizes for AI training continue to skyrocket, with some batch sizes ranging from over 100k to one million, the company’s research arm is looking at ways to improve everything from efficiency, scalability, and even privacy for those whose data is used in large-scale training runs. …

Feeding The Datacenter Inference Beast A Heavy Diet Of FPGAs

July 31, 2020 Timothy Prickett Morgan 0

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. …

Habana Takes Training And Inference Down Different Paths

August 26, 2019 Michael Feldman 2

Processor hardware for machine learning is in their early stages but it already taking different paths. …

Programmable Networks Train Neural Nets Faster

February 14, 2018 Timothy Prickett Morgan 0

When it comes to machine learning training, people tend to focus on the compute. …