Webinar "Deploying deep learning models with Kubernetes and Kubeflow" (RU)
In this talk, we'll learn about deploying Keras models. First, we'll see how to do it with TF-Serving and Kubernetes, and in the second part of the talk, we'll do it with KFServing and Kubeflow.
Alexey Grigorev - Principal Data Scientist at OLX Group, Founder at DataTalks.Club. Alexey wrote a few books about machine learning. One of them is Machine Learning Bookcamp — a book for software engineers who want to get into machine learning.
Beijing-based Moonshot AI raised $2 billion at a $20 billion valuation, quintupling its value in six months as investor interest in Chinese open-weight AI models surges due to increased customer demand.
Tekst raised $13.5 million in Series A funding to build its "Process Intelligence" technology that helps AI agents understand and automate complex enterprise workflows by automatically mapping the unwritten rules and context hidden in emails, documents, and institutional knowledge.
Google DeepMind launched Gemma 4 in April, a family of open-source AI models under Apache 2.0 license that delivers state-of-the-art reasoning across four sizes—including two edge-optimized models that run autonomous agentic workflows entirely offline on mobile and IoT devices.
Dex, an AI-powered recruiting platform for tech talent, raised $5.3 million in seed funding to expand its conversational AI agent that matches engineers with companies. The startup reports it has reached about $1.8M in ARR since it launched its paid services.
DeepSeek released DeepSeek-V4, an open-source 1.6-trillion-parameter model with a one-million-token context window that achieves near-frontier performance at roughly one-sixth the API cost of GPT-5.5 and Claude Opus 4.7.
Data Phoenix is a live media platform for AI and Data professionals, covering technologies under the hood, best practices, and live demos from the builders shaping the industry, via original shows.
Copyright © 2026 Data Phoenix. Published with Ghost and Data Phoenix.
Privacy Policy | Terms of Service | Cookie Preferences
Comments