Efficient Transformers
Cost Efficient MLOps Practices: What Actually Saves Money
--- Last March, a fintech client walked into our office in Bangalore with a billing statement. Their monthly AWS bill for ML infrastructure had crossed $2.4M...
How to Implement Autoscaling for Cost Efficient ML Serving
I watched a client burn $71,400 in a single month on GPU inference. Their actual compute need was about $19,000. The gap wasn't fraud, bad pricing, or a vend...
How to Implement Cost Efficient Data Pipeline
I still remember the Databricks bill from January 2024. $147,000 for a single month. The CFO forwarded it with a one-line email: "Explain this." That pipelin...
How to Implement Cost Efficient Data Pipelines in 2026
Most teams don't have a data cost problem. They have an architecture problem they misdiagnosed as a vendor problem. That's the thing I keep running into. A S...
What Is Cost Efficient Architecture for AI Systems
--- Last month a Series B founder showed me his inference bill. $340K in August 2026. For a product doing maybe 40 million requests a month. My first thought...
How to Implement Cost Efficient Model Serving
You've trained a great model. It scores 0.98 on your eval set. Then the invoice from your GPU provider arrives, and suddenly you're questioning your life cho...
The Real Cost of AI: A Practitioner's Guide to Cost Efficient Deep Learning Infrastructure
We burned $84,000 in GPU credits in six weeks last year. Not on training a massive model. On serving a model that should have cost us $400 a month. The culpr...