OVHcloud launches AI Notebooks

OVHcloud has launched AI Notebooks, the latest building block in its AI Tools managed services offering, which gives data scientists and developers the ability to quickly and easily get complete machine learning models from idea to production.

  • 1 month ago Posted in

OVHcloud’s AI Tools suite enables organizations to facilitate and accelerate their adoption of artificial intelligence — a critical issue as more than 56% of organizations worldwide have adopted AI in at least one business unit or function by 2021 (vs. 50% by 2020[1]).

Thierry Souche, Chief Technical Officer at OVHcloud, said: “Our core business involves helping our customers evolve their practices and giving them the tools to prepare their future. With the AI Notebooks offer, which completes our AI Tools suite, OVHcloud provides data science teams with a complete range of agile technical solutions that can be adapted, in real time and with granularity, to their use cases in order to make their daily work easier.”

With the launch of AI Notebooks, the latest addition to the AI Tools suite, OVHcloud offers an essential building block of the AI journey, allowing organizations to explore and develop models and to share them within a team. Based on open standards and open source, AI Notebooks supports the most indispensable code editors on the market, including Jupyter and VS Code, as well as the import of the most popular frameworks, including TensorFlow, PyTorch, MXNet, Hugging Face, and many additional libraries. Depending on their needs, data scientists and developers can allocate dedicated CPU and GPU resources to their notebooks with a single-click at startup. Billing is on a per-minute basis, with an unmatched price/performance ratio.

The AI Notebooks managed offering allows data science teams to focus on their AI projects, without having to worry about the configuration or installation of their notebooks. Thanks to this ease of use, OVHcloud beta testers have already been able to accelerate their projects.

Aaron Jones, CEO of Yepic.AI, said: “After we worked with other providers, OVHcloud was certainly the cloud service that we found the most accessible. Within a few days, the whole team was fully up and running, allowing our researchers to innovate faster. The production infrastructure provided by OVHcloud enables us to leverage the most powerful GPUs, which is absolutely critical for our business. In addition, we can quickly adjust the resources consumed. This offers the potential for significant gains in operating costs and productivity for our team.”

Healthcare professionals at Portsmouth Hospitals University NHS Trust are trialling an AI application designed to help detect lung cancers on chest x-rays sooner, in the first UK project set up using the Sectra Amplifier Service.
More than eight out of ten respondents (84%) in Kaleido Intelligence IoT survey, sponsored by Eseye, cited hardware design as the top challenge for initial IoT deployments.
VMware is empowering Centrica in its mission to help customers live sustainably, simply, and affordably by providing better visibility into the company’s cloud-native applications running on Amazon Web Services (AWS).
Red Box, the leading platform for voice capture, and EvaluAgent, the all-in-one quality and performance management platform, have joined forces to enable call centre managers to access high quality voice conversations and transform quality assurance (QA) processes through automation.
BT’s Digital unit is partnering with Dynatrace, making it a core component of a new service management stack for BT Group.
This year's VMware State of Observability report notes an increase in organizations recognizing the business benefits modern observability can bring. Learn about that and other key findings.
New AI-ready infrastructure-as-a-service solution enables customers to deploy AI models and applications near critical data sets, addressing data localization and compliance challenges.
Juniper Networks has published the findings of a global research project that shows a big increase in enterprise artificial intelligence (AI) adoption over the last 12 months, which is yielding tangible benefits to organisations. However, a shortage of human talent still exists, and governance policies continue to lack in maturity – both of which are needed to responsibly manage AI’s growth when considering privacy issues, regulation compliance, hacking and AI terrorism.