Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

Microsoft’s Models-as-a-Service plan makes AI access more democratic

Reading Time: < 1 minute

Microsoft is revolutionizing the way developers deploy AI models with its new Models-as-a-Service (MaaS) offering. This innovative solution aims to simplify the process of hosting AI models, allowing developers to focus more on creativity and less on the technicalities of deployment.

Seth Juarez, the principal program manager for Microsoft’s AI platform, explains that MaaS abstracts away the complexities of deploying models by providing a catalog of pre-built models that can be easily accessed with the click of a button. Developers can rent inference APIs and host fine-tuning through a pay-as-you-go plan, eliminating the need for virtual machines.

Since its inception in 2023, Microsoft has made select models available through MaaS, with more models from various companies set to be added soon. Juarez envisions a future where developers can choose to “rent” or “own” their models, similar to being a homeowner or renter. In the MaaS model, Microsoft takes care of the upkeep, making it a hassle-free option for developers.

The rise of MaaS reflects a shift in the tech industry, where consumers are now demanding features and services from tech companies, rather than the other way around. This trend is driven by the close alignment between research and commercialization in the field of AI, leading to a surge in demand for AI-powered experiences.

Overall, MaaS represents a significant step forward in simplifying the deployment of AI models, making it easier for developers to leverage AI functionality in their software without getting bogged down by technical details. With Microsoft leading the way in this space, the future of AI deployment looks brighter and more accessible than ever before.

Taylor Swifts New Album Release Health issues from using ACs Boston Marathon 2024 15 Practical Ways To Save Money