BreezeML, a Los Angeles, CA-based provider of a holistic management platform for resource-efficient Machine Learning (ML) with guarantees, raised $4M in Seed funding.
The round was led by BlueRun Venture (BRV) Aster with participation by Embark Ventures, UpHonest Capital, and Hat Trick Capital.
The company intends to use the funds to scale out their products and bolster contributions to the ML community.
Led by CEO Harry Xu and CTO Ravi Netravali, BreezeML helps organizations, large and small, through the entire life-cycle of deploying and managing ML training and inference jobs. Developers register jobs (including pre-existing ones) via any ML framework (e.g., PyTorch, TensorFlow), indicate a cloud they wish to run on (e.g., private clouds, Azure, EC2, GCP), and specify various goals and constraints regarding cost, inference latency, training throughput, etc. From there, the research-backed platform provisions resources, deploys jobs, and automatically scales jobs and manages clusters to meet developer requirements while keeping costs to a minimum.
FinSMEs
07/12/2022