12 Ways to Reduce LLM Latency and Inference Costs in Production
# Introduction Large language model (LLM) apps get slow and expensive faster than you’d expect. In a prototype, things look fine. A few users, one model call, a short prompt,…
Why Performance per Watt Is the Ultimate Metric for AI Infrastructure Efficiency
Power is AI infrastructure’s inescapable constraint. How many tokens an AI factory can generate within a fixed power budget determines its revenue and profitability. Because of this, performance per watt…
How I’m Making Sure My Analytics Career Doesn’t Get Eaten by AI
, someone at work brings up a version of this question: is AI going to take my job? I’ll admit that I have asked some version of that same question…
PrismML Releases Bonsai 27B: 1-bit and Ternary Builds of Qwen3.6-27B That Run on Laptops and Phones
” style=”width:100%;border:0;height:600px;display:block;overflow:hidden;” scrolling=”no” loading=”lazy” title=”Bonsai 27B interactive explainer”> That architecture shapes the compression method below. How the Compression Works Each weight is a code, with one shared FP16 scale per…
Run a vLLM Server on HF Jobs in One Command
You can spin up a private, OpenAI-compatible LLM endpoint on Hugging Face infrastructure with a single command — no servers to provision, no Kubernetes, pay-per-second. Once it’s up, you can…
The H100 GPU’s Role in Advanced AI Development
Introduction The H100, Nvidia’s latest GPU, is a powerhouse built for AI, boasting 80 billion transistors—six times more than the previous A100. This allows it to handle massive data loads…
What is Meta Prompting? A Guide to Designing Reusable Prompts
Prompts shape every interaction with a large language model. Clear instructions produce focused, useful responses, while vague ones often lead to inconsistent results. This becomes harder when teams need the…
Getting Started with Conductor for Gemini CLI
# Introduction When you open Gemini CLI, describe a feature you need to build, and the agent immediately starts writing code. No questions, no clarifications, no plan. Ten minutes later,…
Nemotron Labs: The Open Models Advantage
Editor’s note: This post is part of the Nemotron Labs blog series, which explores how the latest open models, datasets and training techniques help businesses build specialized AI systems and…
LLM Evaluation Frameworks Compared: How to Actually Measure What Your Model Does
In this article, you will learn how to evaluate LLM applications using the three dominant open-source frameworks — RAGAS, DeepEval, and Promptfoo — and why the LLM-as-a-judge mechanism they all…
