Sebastian Buzdugan·Just now100 parallel Harbor rollouts on Tensorlake: 47 rollouts/minute at 37¢ per batchFrom 10 to 100 concurrent sandboxes: 7.9x the throughput, 300 of 300 passed.
Ascendrix Technologies·7h agoWhy Your Self-Hosted LLM Is Slower Than It Should Be: KV-Cache-Aware Routing, Explained (With…More teams are running open-weight models on their own GPUs. The reasons are good: data privacy, no per-token bills, and steady…
Think Data·12h agoI Fine-Tuned Three LLMs. The Data Pipeline Was the Problem Every Time.TL;DR: Fine-tuning is usually presented as a modeling problem. Pick a base model, adjust the learning rate, choose a LoRA rank, and start…
Brian James Curry·16h agoSelf-Hosted GPUs or an API? An LLM Cost-per-Million-Tokens CalculatorNov 9, 2026 · @Brian Curry
Zacky Al Giffari·1d agoMaking a 4B Model Dependable: Optimizing an Agent Harness with Layered Validation and an Ablation…Small models rarely fail loudly. They fail quietly, and the harness decides whether that failure gets seen, gets fixed, or slips through to…
Gaurav Yadav·1d agoFrom Local Docker Airflow to Kubernetes-Native Airflow: My Real-World MLOps Migration JourneyHow I migrated an ML-powered Airflow pipeline from a laptop-based Docker environment to Kubernetes, tackled GitSync, Helm, persistent…
Hussein Awala·1d agoBatch the Work, Not the Requests: Async Batcher 0.3.0One caller, one item, one result. Async Batcher groups nearby requests into one bulk operation, so your model or database does less…
PeopleLogic Business Solutions·1d agoDecoding the AI/ML Tech Stack: What Do These Skills Actually Mean for Hiring?AI and machine learning job descriptions have become increasingly technical. A single role might ask for Python, PyTorch, TensorFlow…A response icon1A response icon1
Ali Nasir·1d agoYour AI Model Passed the Benchmark. Is It Ready for Production?Why enterprise AI needs release gates that test business outcomes, security, reliability, and cost — not just model accuracy.
Moumita Ghosh·1d agoEngineering Trust: Building an 86-Test QA Framework for Healthcare AI Using 100% Synthetic DataHow a synthetic-first MLOps architecture solves the HIPAA testing paradox without compromising clinical safety.
