Mar 26
One Platform for the Entire AI Lifecycle
Develop, test, run, experiment, deploy, and monitor—all in one place. Enlight AIOps provides complete lifecycle management for AI, MLOps, and GPU infrastructure through a unified platform.
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One Platform for the Entire AI Lifecycle
Develop, test, run, experiment, deploy, and monitor—all in one place. Enlight AIOps provides complete lifecycle management for AI, MLOps, and GPU infrastructure through a unified platform.
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FedML Closes $11.5 Million Seed Round To Help Companies Build And Train Custom Generative
Distributed AI pioneer, FedML, has achieved a significant milestone by raising $11.5 million in seed funding. This funding will be utilized to further develop and promote its distributed MLOps platform. The platform enables businesses to efficiently train and deploy custom generative AI and large language models using their own proprietary data. The unique approach of using shared decentralized GPU cloud resources helps reduce costs and addresses the global shortage of GPU resources.
Read More - https://www.techdogs.com/tech-news/business-wire/fedml-closes-115-million-seed-round-to-help-companies-build-and-train-custom-generative
MLOps Platform Market Capacity and Application Forecast 2022 To 2028
This report provides a comprehensive analysis of current Global MLOps Platform Market based on segmented types and downstream applications. Major product development trends are discussed under major downstream segment scenario.This report also focuses on major driving factors and inhibitors that affect the market and competitive landscape. Global and regional leading players in the MLOps Platform industry are profiled in a detailed way, with sales data and market share info. This report also includes global and regional market size and forecast, drill-down to top 20 economies.
According to this survey, the global MLOps Platform market is estimated to have reached $ xx million in 2020, and projected to grow at a CAGR of xx% to $ xx million by 2028.
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Covid-19 pandemic has impacted the supply and demand status for many industries along the supply chain. Global MLOps Platform Market Status and Forecast 2022-2028 report makes a brilliant attempt to unveil key opportunities available in the global MLOps Platform market under the covid-19 impact to help readers in achieving a better market position. No matter the client is industry insider, potential entrant or investor, the report will provide useful data and information.
The Global MLOps Platform Market has been exhibited in detail in the following chapters
Chapter 1 displays the basic product introduction and market overview.
Chapter 2 provides the competition landscape of global MLOps Platform industry.
Chapter 3 provides the market analysis by type and by region
Chapter 4 provides the market analysis by application and by region
Chapter 5-10 presents regional and country market size and forecast, under the context of market drivers and inhibitors analysis.
Chapter 11 analyses the supply chain, including process chart introduction, upstream key raw material and cost analysis, distributor and downstream buyer analysis.
Chapter 12 provides the market forecast by type and by application
Chapter 13 provides the market forecast by region
Chapter 14 profies global leading players with their revenue, market share, profit margin, major product portfolio and SWOT analysis.
Chapter 15 conclusions
Segmented by Type
l Machine Learning
l Management Platform
l Others
Segmented by Application
l SMEs
l Large Enterprises
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Segmented by Country
North America
United States
Canada
Mexico
Europe
Germany
France
UK
Italy
Russia
Spain
Asia Pacific
China
Japan
Korea
Southeast Asia
India
Australasia
Central & South America
Brazil
Argentina
Colombia
Middle East & Africa
Iran
Israel
Turkey
South Africa
Saudi Arabia
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Key manufacturers included in this survey
l Verta
l Valohai
l Neuro
l Iguazio
l HPE
l H2O MLOps
l Fiddler
l Datatron
l Datarobot
l Dataiku
l Arrikto
l ALTERYX
l Allegro AI
l Algorithmia
l Akira AI
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