FedML provides an open-source community and an enterprise platform. It allows users to train, deploy, monitor, and improve machine learning models anywhere, powered by collaboration on combined data, models, and computing resources. It serves healthcare and life sciences, logistics, retail, and other sectors. The company was founded in 2022 and is based in Sunnyvale, California.
ESPs containing FedML
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The federated learning platforms market enables model training across multiple decentralized devices or data sources. Companies can harness federated learning to develop AI models collaboratively without centralizing sensitive data. This approach helps organizations maintain robust security and compliance standards in order to mitigate the risk of data breaches and privacy violations. These platfo…
Research containing FedML
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned FedML in 1 CB Insights research brief, most recently on Oct 13, 2023.
Expert Collections containing FedML
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
FedML is included in 2 Expert Collections, including Blockchain.
Companies in this collection build, apply, and analyze blockchain and cryptocurrency technologies for business or consumer use cases. Categories include blockchain infrastructure and development, crypto & DeFi, Web3, NFTs, gaming, supply chain, enterprise blockchain, and more.
Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.
Latest FedML News
Nov 18, 2023
AMBCrypto 2min Read A new proposal has been approved which means that Render will allocate 50,000 RNDR tokens to the group in charge of the project. Posted: However, compliance and scaling are obstacles that the project may face. A Snapshot of the Render Network [RNDR] community vote has shown that the RNP-007 proposal has been given the green light as voting ended in the early hours of 17th November. From the results , 94.46% of the delegates were in overwhelming support of the scheme. On the other hand, a mild 5.54% did not deem the proposal important enough to give it “yes.” This development marks another major upgrade from Render after it migrated from Ethereum [ETH] to Solana [SOL] . New clients, more interaction Details from the RNP-007 proposal showed that the Render Foundation has asked to integrate FEDML as its compute client. A compute client is a software responsible for processing blockchain transactions on a computer. AMBCrypto looked at the FEDML website and observed that it was involved in generative AI and Graphics Processing Unit (GPU) development. Interestingly, these are some of the fundamentals of the Render project. According to Render, the FEDML integration would bridge the gap between the AI community and Render’s GPU resources. Its statement read: “FEDML’s GPU marketplace can include Render, enabling AI developers to seamlessly access Render’s powerful distributed GPU resources. This integration streamlines workflows, reduces development time, and accelerates AI projects.” With respect to the implementation process, Render noted that 50,000 RNDR tokens should be allocated to the independent developer group in charge of the project. Also, in the last 24 hours, the price of RNDR has dropped by 5.32%. Network growth falls amid possible roadblocks Meanwhile, AMBCrypto checked if the price decrease affected the network growth . Network growth tracks the number of new addresses on a network. If the metric increases, it means the project is getting a lot of traction. Source: Santiment But for RNDR, the network plunged. This decrease implies that the rate of adoption has fallen when compared to the point it was on 16th November. However, when the FEDML goes live, there is a chance that the AI community will flock to the Render network. If this happens, then the network growth condition might change for the better. Meanwhile, Render came clean, clearing the air that it could experience some challenges in the process. One of the potential obstacles that Render mentioned includes fiat reconciliation. Others are regulatory compliance, and scaling the Render GPU. Concerning this, the project noted that: “Tackling these challenges will demand seamless collaboration between the Render Network and FEDML teams. However, the potential of enabling generative AI development on Render’s GPU network is immense and the investment in spearheading web3 machine learning infrastructure innovation is well worth the effort.” Share
FedML Frequently Asked Questions (FAQ)
When was FedML founded?
FedML was founded in 2022.
Where is FedML's headquarters?
FedML's headquarters is located at 440 North Wolfe Road, Sunnyvale.
What is FedML's latest funding round?
FedML's latest funding round is Seed VC - II.
How much did FedML raise?
FedML raised a total of $13.5M.
Who are the investors of FedML?
Investors of FedML include Camford Capital, Road Capital, Finality Capital Partners, Plug and Play Ventures, Acequia Capital and 8 more.
Who are FedML's competitors?
Competitors of FedML include Replicate and 5 more.
Compare FedML to Competitors
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Modzy is a company that focuses on providing a production platform for machine learning, operating within the technology and artificial intelligence industry. The company offers services that allow for the deployment, connection, and operation of machine learning models in various environments, with a focus on enterprise and edge computing. These services are primarily targeted towards sectors such as manufacturing, telecom, energy and utilities, and the public sector. Modzy was formerly known as Yzdom, Inc.. It was founded in 2019 and is based in Vienna, Virginia.