Systems | Development | Analytics | API | Testing

Machine Learning

Tzag Elita and ClearML: Powering the Future of AI Workflows

The world of artificial intelligence and machine learning is constantly evolving, with new challenges and innovations emerging every day. Tzag Elita is a leading provider of HPC and AI solutions in Israel, and understands the importance of staying ahead of the curve and delivering cutting-edge solutions to their customers. That’s why ClearML is excited to announce our partnership with Tzag Elita.

Solving key challenges in the ML lifecycle with Unravel and Databricks Model Serving

Machine learning (ML) enables organizations to extract more value from their data than ever before. Companies who successfully deploy ML models into production are able to leverage that data value at a faster pace than ever before. But deploying ML models requires a number of key steps, each fraught with challenges.

Consumer GPUs vs Datacenter GPUs for CV: The Surprising Cost-Effective Winner

We recently rolled out our very own GPU autoscaler in Collaboration with Genesis Cloud and it has been quite a success. Also recently, YOLOv8 by Ultralytics was unveiled, the new king of object detection, segmentation and classification. In this blogpost we’ll see that you can train a computer vision model using the ClearML/Genesis Cloud autoscaler at a fraction of the cost of competing cloud services like AWS or GCP. And it even runs 100% off of green energy! 😎

Kubeflow Vs. MLflow Vs. MLRun: Which One is Right for You?

The open source ML tooling ecosystem has become vast in the last few years, with many tools both overlapping in their capabilities as well as complimenting each other nicely. In part because AI/ML is a still-immature practice, the messaging around what all these tools can accomplish can be quite vague. In this article, we’ll dive into three tools to better understand their capabilities, and how they fit into the ML lifecycle.

Machine Learning Accelerator with Looker and BigQuery ML

Looker is Google’s enterprise business intelligence platform for analyzing and acting on governed data. In this episode of Serverless Expeditions Extended, Martin teams up with Chris to discuss and walk through machine learning in Looker. Watch along and learn how organizations use Looker to build custom data workflows that empower users to make better business decisions. Chapters.

7 AI/ML Use Cases to Watch

2023 is looking likely to be a breakout year for artificial intelligence (AI) and machine learning (ML). Some industry-watchers predict that recent breakthroughs in AI might lead to a new revolution in society akin to the industrial revolution, the invention of the internet, or the advent of the smartphone. Yet, 2023 doesn’t mark the invention of AI—just the year it went viral thanks to OpenAI’s ChatGPT technology.