Beamr Boost for Machine Learning: Accelerating Neural Networks Training
But the players in this expanding arena face critical pain points, like storage and bandwidth bottlenecks or the difficulty to reach acceptable training and inferencing speeds.
- But the players in this expanding arena face critical pain points, like storage and bandwidth bottlenecks or the difficulty to reach acceptable training and inferencing speeds.
- The video files used for machine learning training were optimized by Beamr Cloud, reducing file sizes by 24%-67%.
- The current case study covers the more challenging task of training a neural network for action recognition in video.
- In coming months, the Beamr R&D team plans to expand the initial experiment described above to large scale testing, including neural networks that operate in the cloud using GPUs.