SIVARO
LLM Training Optimization
How to Reduce Attention Computation Cost in LLM Training
Attention is where your GPU budget goes to die. I watched a client burn $180K on a training run last November. The model was fine. The architecture was fine....
Sliding Window Attention Training Speedup: A Practitioner's Guide
Last month I was staring at a training run that had been going for eleven days. A 7B model on 128K context. The loss curve looked great. My cloud bill did no...
What Causes Skewed Attention Computation in LLMs
I spent three weeks in early 2026 debugging why our production RAG system kept returning confident nonsense. The embeddings were fine. The retrieval scores l...
Attention Dropout Impact on Training Throughput: What I Learned the Hard Way
Back in March, my team at SIVARO spent eleven days training a 3B-parameter transformer for a client's real-time document understanding pipeline. The infra wa...
Attention Head Redundancy Pruning for Faster Training
You're burning compute on heads that do nothing. Here's the fix. In 2025, I watched a client at a fintech company spend \$80,000 on a single training run for...