We are excited to announce that Datalayer has officially been awarded ISO/IEC 42001 certification, a significant milestone in our commitment to responsible AI governance and trustworthy AI deployment.

Handling secrets is one of the most critical aspects of maintaining a secure system. Secrets, such as API keys, passwords, and encryption keys, must be protected from unauthorized access and potential leaks.

At Datalayer, we take this responsibility seriously and have implemented robust measures to ensure that secrets are handled securely and efficiently.

In the fast-evolving world of data science and AI, having the right tools and resources is critical for success. As datasets grow larger and computations more complex, data scientists need scalable, flexible, and reliable solutions to perform high-performance analyses. Datalayer allows you to scale your data science workflows with ease, thanks to its Remote Kernels solution. This feature enables you to run computations in powerful cloud environments directly from your JupyterLab, VS Code or CLI.

We have created a public GitHub repository with a collection of Jupyter Notebooks that showcases scenarios where Datalayer proves highly beneficial. These examples cover a wide range of topics, including machine learning, computer vision, natural language processing, and generative AI.

We're excited to announce the release of Datalayer 1.2.0 — Black Snake — a major release packed with new features and enhancements that significantly improve performance and user experience.

The Datalayer Black Snake release is named as a tribute to the Python opensource community as to the companies like Anaconda and Quansight for their support in driving innovation in the open.

When working with Remote Kernels, one of the key pain points for users has been the lack of persistent data storage. Previously, every time you initiated a new kernel session, you would lose access to your previous data, forcing you to download datasets repeatedly for each new session. This not only wasted valuable time but also made the workflow cumbersome.

Datalayer has joined NVIDIA Inception, a program designed to nurture startups that are revolutionizing industries with technological advancements.

We are super excited to announce that Datalayer is entering Private Beta! After months of development, we are inviting today those who signed up on our waiting list to experience our solution first-hand.