Bring AI to Your Data, From Prototype to Production | Cloudera AI Inference
Most enterprise AI projects stall when teams try to move experiments into production—where costs, governance, data security, and scale all get real. In this demo, see how Cloudera AI Inference helps turn foundation models into secure, governed, production-ready AI services.
You’ll learn how to:
- Discover and import optimized open models
- Configure models for latency, throughput, and cost
- Package models with version control and metadata
- Deploy secure, scalable inference endpoints
- Connect apps using OpenAI-compatible APIs
- Monitor LLM-specific performance and efficiency
- Learn more about Cloudera AI Inference here:* https://www.cloudera.com/products/machine-learning/ai-inference-service.html
Subscribe for more technical content: https://www.youtube.com/channel/UCXY5wm6HlBL_Y_8SDxJNR0g
Join the Cloudera Community to learn more! 👉 https://community.cloudera.com
Full Playlist: 👉 https://www.youtube.com/playlist
- Get Started*
- 🔹 Watch Demos: https://www.cloudera.com/products/cloudera-data-platform/cdp-demos.html
- 🔹 Customer Success Stories: https://www.cloudera.com/customers.html
- 🔹 Read the Cloudera blog: https://www.cloudera.com/blog.html
- Resources:*
- Hear more from our customers: https://www.youtube.com/playlist
- Watch Demos: https://www.youtube.com/playlist
Chapters:
00:00 - Enterprise AI Scale Challenges
03:45 - How to Deploy Inference Endpoints?
07:15 - How to Call Endpoints via OpenAI API?
09:27 - Token & Latency Monitoring
🔔 Subscribe to stay ahead of the curve with the latest in data strategy, open architectures, and enterprise AI innovations. https://www.youtube.com/channel/UCXY5wm6HlBL_Y_8SDxJNR0g
https://www.cloudera.com
LinkedIn ► https://www.linkedin.com/company/cloudera
Facebook ► https://www.facebook.com/cloudera/
X ► https://twitter.com/cloudera
Spotify ► https://open.spotify.com/show/102S8zoZR6nmZV0HxZlxZu
#Cloudera #AgenticAI #DataEngineering #EnterpriseAI #MLOps #GenerativeAI #PrivateAI #aiinference #technews