Cloud Services
Every Cloud Services post, published by AI360Xpert.
- Cloud Services
Accelerator Availability Reaches Equilibrium
The GPU shortage is mostly over for inference, but training clusters still require heavy commitments.
- Cloud Services
Your Vector Search Ranks By Length
One default parameter is quietly costing you recall. Why your managed vector database might be returning the wrong results.
- Cloud Services
AWS SageMaker: When to Use It (And When Not To)
SageMaker is huge, expensive, and powerful. Here is when you actually need it, and when you are just burning money.
- Cloud Services
Why Fine-Tuning LLMs on Your Own Data Beats Off-the-Shelf RAG
Forget complex RAG pipelines. With LoRA and cheaper cloud GPUs, fine-tuning an open-weight LLM on your own data is now the most practical path to domain expertise.
- Cloud Services
Stop Treating ML Deployments Like Software Deployments: MLOps Best Practices
Shipping a model is only half the battle. Discover why traditional software CI/CD isn't enough, and how MLOps ensures your deployments survive reality.
- Cloud Services
Stop Trying to Build AI Apps Without a Vector Database
Why standard SQL and NoSQL databases will choke on your enterprise RAG pipeline, and why vector databases are the unavoidable bridge to production AI.
- Cloud Services
Edge AI vs Cloud AI: Stop Defaulting to the Cloud
Cloud inference is the default, but it's often the wrong choice. Latency, privacy, and cost are pushing on-device deployment as the superior architecture.