Weights & Biases (W&B), the leading developer-first MLOps platform, and Run:ai, the leader in compute orchestration for AI workloads, have announced a joint partnership. The partnership will focus on developing integrations between the two platforms to provide ML developers and MLOps platform owners a seamless experience for MLOps and GPU orchestration for machine learning and deep learning workloads.
“We are excited to partner with Run.ai to provide data scientists and ML practitioners the best tools for their ML development workflow,” said Seann Gardiner, VP of Business Development of Weights & Biases. “The combination of the developer tools provided by Weights and Biases, the dynamic allocation and orchestration of compute resources from Run.ai, and the optimized hardware and software provided by NVIDIA gives ML teams everything they need to accelerate the development and deployment of AI in the enterprise.”
Also Read: DEWA is receiving applications for WETEX & DSS 2022
The partnership will streamline AI projects for both AI researchers as well as the MLOps and IT teams managing AI infrastructure. ML practitioners will be able to leverage the MLOps capabilities provided by Weights & Biases – such as experiment and artifact tracking, hyperparameter optimization, and collaboration reports – and gain access to NVIDIA accelerated computing resources orchestrated by Run:ai’s Atlas Platform, all in one experience. ML developers will be able to monitor NVIDIA GPU utilization within the W&B dashboard, and then improve utilization with Run:ai’s scheduling and orchestration capabilities. The MLOps platform owner will be able to optimize GPU resource scheduling and consumption for the ML practitioners, and provide a single ML system of record to keep an accurate history of all ML experiments, model history, and dataset versioning.
“Run:ai and Weights & Biases together give data scientists, and the IT teams that support them, a complete solution for the full ML lifecycle, from building models, to training and inference in production,” said Omri Geller, CEO and co-founder of Run:ai. “Companies building their AI infrastructure and tooling from scratch can use NVIDIA GPUs, Run:ai, and W&B and have everything they need to manage AI initiatives at scale.”