A partnership has been announced between Run:ai, the industry pioneer in computing orchestration for AI workloads, and Weights & Biases (W&B), the premier developer-first MLOps platform. In order to give ML developers and MLOps platform owners a smooth experience for MLOps and GPU orchestration for machine learning and deep learning workloads, the cooperation will concentrate on establishing connectors between the two platforms.
"We are excited to partner with Run.ai to provide data scientists and ML practitioners the best tools for their ML development workflow. 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," said Seann Gardiner, VP of Business Development of Weights & Biases.
The collaboration will simplify AI initiatives for academics in the field as well as the MLOps and IT teams in charge of maintaining the infrastructure. The Weights & Biases MLOps capabilities, including experiment and artifact tracking, hyperparameter optimization, and collaboration reports, will be available to ML practitioners in a single interface, along with access to NVIDIA accelerated computing resources managed by Run:Atlas ai's Platform. The W&B dashboard will allow ML developers to track NVIDIA GPU usage, and they can then increase it by using Run:scheduling ai's and orchestration features. In addition, the MLOps platform owner will be able to provide a single ML system of record to maintain an accurate history of all ML experiments, model history, and dataset versioning. They will also be able to optimize GPU resource scheduling and consumption for ML practitioners.
"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. 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."
Omri Geller, CEO and co-founder of Run:ai
The collaboration between Weights & Biases and Run:ai will significantly help ML academics and businesses using NVIDIA GPUs. As software partners for NVIDIA DGX-Ready and NVIDIA AI Accelerated, Run:ai and W&B have both received validation. In order to assist businesses to get the most out of their investment in NVIDIA-accelerated systems for ML and AI, the cooperation will build on connections between W&B and Run.ai with NVIDIA AI Enterprise software.