GitLab, the provider of the DevSecOps platform for software innovation, and Oracle, a global technology provider, have announced the general availability of a new offering that expands shared artificial intelligence (AI) and machine learning (ML) functionalities.
Customers can now run AI and ML workloads with GPU-enabled GitLab runners on Oracle Cloud Infrastructure (OCI). GitLab strives to meet customers where they are, and this collaboration with OCI provides streamlined access to GitLab runners for Oracle users. Customers benefit from OCI's high performance, built-in security, and distributed cloud capabilities, allowing them to access and deploy cloud services wherever needed, including on-premises and multi-cloud environments.
Running workloads on OCI provides organisations the scalability, security, and reliability they need to help accelerate innovation and drive growth. This collaboration also allows joint customers to connect an existing GitLab instance, regardless of where it is hosted, to a GitLab runner hosted on OCI.
GitLab is available to Oracle customers through Oracle Cloud Marketplace, enabling joint customers to create a resilient, high-performance DevOps environment.
“AI and ML functionalities continue to evolve and impact how developers work, allowing them to deliver on innovation promises faster. Using automation technologies to drive velocity has been a core pillar of DevSecOps since its inception,” says Jim Mercer, research vice president of DevOps and DevSecOps, IDC. “The partnership between GitLab and Oracle recognises the importance of offering customers tools to create secure, efficient DevSecOps environments.”
With the exponential growth of data and computing power, AI and ML are critical to many organisations' strategies to drive innovation and enhance customer experiences.
The GitLab 2022 DevSecOps Survey found that AI/ML adoption is trending upward, with 24% of respondents reporting that they use AI/ML, up from 12% the previous year.
GitLab's upcoming 2023 DevSecOps Report shows an even higher interest in AI/ML over the next three years, with 65% of developers using AI/ML for tasks like testing. However, running AI/ML workloads can be complex and resource-intensive, requiring significant computing resources, data storage, and specialised software tools.
The new offering with OCI can cut down the time and labour of developers working on those workloads. In addition, it enables developers to leverage the power of GPUs for faster model training and inference, which can result in better performance and, hopefully, better user experiences.
“Oracle is proud to provide organisations with the high-performance and cost-effective foundation they require to build innovative, secure cloud applications. GitLab’s focus on efficiency and speed aligns with our goals. Together we aim to help customers ship applications faster, streamline their toolchains, and reduce costs while fully taking advantage of AI and ML," adds Leo Leung, vice president at Oracle Cloud Infrastructure and Oracle Technology.
"GitLab is committed to helping our customers innovate faster and more efficiently. Our partnership with Oracle is critical in providing joint customers with the tools needed to build and deploy production-quality data science workflows with their software," notes David DeSanto, chief product officer at GitLab. "With GPU runners on OCI, our users can run even the most demanding AI/ML workloads easily, allowing them to gain critical insights, reduce time to market, and drive meaningful business outcomes for themselves and their customers."