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About Weights & Biases
Weights & Biases provides a developer-first machine learning operations (MLOps) platform. It offers performance visualization tools for machine learning, tracks experiments, manages and version data, and collaborates with the team. Weights & Biases was founded in 2017 and is based in San Francisco, California.
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ESPs containing Weights & Biases
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The version control & experiment tracking market provides solutions for managing and tracking changes to data, models, and databases in the machine learning lifecycle. These solutions allow for reproducibility, scalability, and automation of the ML workflow, reducing errors and increasing efficiency. The market includes vendors offering data versioning and pipeline products, experiment tracking an…
Weights & Biases named as Leader among 9 other companies, including dotData, Fiddler, and Comet.
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Research containing Weights & Biases
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CB Insights Intelligence Analysts have mentioned Weights & Biases in 2 CB Insights research briefs, most recently on Apr 11, 2022.
Apr 11, 2022The top 100 AI startups of 2021: Where are they now?
Expert Collections containing Weights & Biases
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Weights & Biases is included in 3 Expert Collections, including Unicorns- Billion Dollar Startups.
Unicorns- Billion Dollar Startups
This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.
Winners of CB Insights' 5th annual AI 100, a list of the 100 most promising private AI companies in the world.
Latest Weights & Biases News
May 18, 2023
Share 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.” 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.”
Weights & Biases Frequently Asked Questions (FAQ)
When was Weights & Biases founded?
Weights & Biases was founded in 2017.
Where is Weights & Biases's headquarters?
Weights & Biases's headquarters is located at 1479 Folsom Street, San Francisco.
What is Weights & Biases's latest funding round?
Weights & Biases's latest funding round is Corporate Minority.
How much did Weights & Biases raise?
Weights & Biases raised a total of $200M.
Who are the investors of Weights & Biases?
Investors of Weights & Biases include NVIDIA, NVIDIA Inception, Coatue Management, Insight Partners, Bond and 8 more.
Who are Weights & Biases's competitors?
Competitors of Weights & Biases include Fiddler, Superwise, Arthur, deepset, Neptune Labs and 8 more.
Compare Weights & Biases to Competitors
Neptune is a platform built for data scientists to make machine learning models development fast and reliable. With Neptune data scientists can easily monitor, compare, track and reproduce their experiments and results. Neptune was founded in 2017 and is based in Palo Alto, California.
Robust Intelligence builds products that integrate seamlessly into the AI development life cycle to ensure robustness and reliability. Its customers include technology companies, financial institutions, and government agencies.
TruEra provides artificial intelligence (AI) based quality management solutions to optimize users' machine learning (ML) workflow. Its products include an integrated platform for diagnostics and monitoring. It serves industries such as healthcare, insurance, defense, banking, government, and more. TruEra was formerly known as AILens. It was founded in 2019 and is based in Redwood City, California.
Comet provides a self-hosted and cloud-based meta-machine learning platform allowing data scientists and teams to track, compare, explain, and optimize experiments and models. Comet was founded in 2017 and is based in New York, New York.
Databricks provides a unified analytics platform. It offers a collaborative solution for the machine learning lifecycle such as featurization production. It provides data analytic services and a data platform that aims to simplify data integration. The company was founded in 2013 and is based in San Francisco, California.
DataRobot operates as an artificial intelligence (AI) lifecycle platform with deep ecosystem integrations. It offers solutions such as augmented intelligence, data engineering, machine learning, trusted artificial intelligence, and more. It serves the banking, healthcare, retail, manufacturing, and public sectors. It was founded in 2012 and is based in Boston, Massachusetts.
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