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Weights & Biases and Lambda Announce Strategic Partnership to Accelerate Deep Learning and AI

Weights & Biases and Lambda Announce Strategic Partnership to Accelerate Deep Learning and AI

Weights & Biases and Lambda announced a strategic partnership to bring the infrastructure and MLOps tools required for AI and deep learning workloads to enterprises of all sizes.

The Weights & Biases MLOps platform integrates with NVIDIA-accelerated systems provided by Lambda, including compatibility with Lambda’s Cloud powered by NVIDIA GPUs, laptops, workstations, servers, and clusters. This combination is leveraged by enterprises developing cutting-edge computer vision and natural language processing algorithms.

“As frictionless access to compute becomes a bigger determining factor in AI success, Weights & Biases is proud to partner with Lambda, one of the leading NVIDIA GPU cloud providers for AI and machine learning development,” said Seann Gardiner, VP of Business Development and International Business, Weights & Biases. “The combination of Lambda’s compute infrastructure and Weights & Biases’ MLOps platform arms ML developers with critical tools to create cutting edge machine learning algorithms for all kinds of use cases, such as computer vision and generative AI.”

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As part of the strategic partnership, Weights & Biases can be purchased through Lambda. With this relationship, enterprises can now acquire both the infrastructure and the MLOps software for their ML engineers through Lambda, and leverage Lambda’s expertise to implement and manage the Weights & Biases platform with the Lambda Cloud, workstations, servers, and clusters accelerated by NVIDIA.

“The addition of the Weights & Biases MLOps platform to the Lambda portfolio allows Lambda to provide the complete ML development environment for enterprises of all sizes,” said Robert Brooks, VP of Sales, Lambda. “The combination of Lambda’s Echelon NVIDIA GPU systems and Weights & Biases has been used to accelerate computer vision and natural language processing use cases across a wide variety of industries.”

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