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Customer Success Story : Steamulo

Steamulo is actively engaged in R&D projects that push the boundaries of Technology. Scaleway’s cloud solutions are integral to this R&D AI venture, providing a robust foundation for the growth of our AutoScribe project.

Who is Steamulo?

Presently, Steamulo uses Scaleway's instances to host the AutoScribe web application, benefiting from the reliability and scalability of Scaleway's cloud infrastructure. AutoScribe is a Peek into Steamulo’s and is being trialed internally at Steamulo for recording meetings, integrating with google meet or simply your device’s microphone. The project uses the open-source AI model Whisper, hosted on AWS via Hugging Face, for transcribing recorded meetings. This step is crucial for accurate data capture and analysis.

AutoScribe's ability to generate contextual summaries using the FLAN-T5 XXL model is a significant advantage. Users can tailor these summaries by modifying the prompt or regenerating new summaries, adding remarkable flexibility to the process. Scaleway’s Evolving Role in AutoScribe’s Development Current Infrastructure Presently, Steamulo uses Scaleway's instances to host the AutoScribe web application, benefiting from the reliability and scalability of Scaleway's cloud infrastructure.

How to overcome challenges

Transition to AMP2 Instances Steamulo is keenly anticipating the adoption of Scaleway's AMP2 instances for their AI models. These instances are particularly advantageous due to:

  • Enhanced Processing Power: The ARM-based processors in the AMP2 instances are well-suited for the demanding computational requirements of AI applications.
  • Optimized Memory and Storage: These instances offer scalable options that are critical for handling the extensive data associated with AI modeling.

Crucially, the AMP2 instances are expected to deliver superior performance compared to traditional GPUs, but at a fraction of the cost. This cost-effectiveness is vital for Steamulo, as it paves the way for an economically viable project, balancing high computational power with financial feasibility. On top of that It will also align with Steamulo’s strategy of using European cloud providers for improved data sovereignty and compliance, a crucial point if Steamulo ever wants to go from R&D to a commercial project.

Results

Project Insights and Organizational Impact
Early Adoption Success: AutoScribe’s initial internal deployment has yielded positive results, underscoring the project's potential for wider application.
Continuous Improvement: Ongoing iterations and internal feedback are shaping AutoScribe, refining its features and usability.

Forward-Looking: Steamulo's Aspirations with AutoScribe
Future Developments: Steamulo is committed to further developing AutoScribe, with an eye on expanding its functionalities and exploring external applications.
Concluding Thoughts:Steamulo's innovative drive, showcased through the AutoScribe project and supported by Scaleway’s evolving cloud solutions, exemplifies the transformative potential of AI in business processes.