Agentic RAG Updates: From Demo to Production
Most agentic RAG projects stall before production. Learn why agentic RAG updates alone aren’t enough—and how Cake helps you build a reliable system.
Build Scalable GenAI Infrastructure in 48 Hours
Build scalable GenAI infrastructure in just 48 hours. Get practical steps for secure, observable AI systems—no rewrites or vendor lock-in required.
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How to Build an Enterprise AI Stack (That Doesn’t Break at Scale)
Enterprises are under more pressure than ever to incorporate AI into their workflows. But most are stuck stitching together a stack that was never...
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The 5 Paths to Enterprise AI (And Why Most Lead to Trouble)
Every AI team eventually hits the same familiar wall: their prototype works great, but production is a nightmare. This is the inevitable disconnect...
How to Monitor AI Models Without Vendor Lock-In
Learn why monitoring AI models without vendor lock-in saves money and boosts flexibility compared to closed AI platforms with hidden costs and...
9 Most Popular Vector Databases: How to Choose
Find the most popular vector databases for AI projects. Compare features, scalability, and use cases to choose the right vector database for your...
AWS Cake vs. SageMaker: Which Is Better for AI?
See how aws cake outperforms AWS SageMaker for enterprise AI with open source tools, faster deployment, lower costs, and true platform flexibility.
SkyPilot and Slurm: Bridge HPC and Cloud for AI
See how Cake’s platform architecture streamlines AI Ops with skypilot slurm integration, offering flexible, secure, and scalable AI infrastructure...
What is Cake AI? An Introduction to Our Platform
Learn how Cake AI was created to make advanced AI accessible for all, solving real challenges and helping teams focus on what matters most.