Tag: inference optimization

Learn how to scale open-source LLMs in 2026. Explore hardware needs for gpt-oss-120b, the role of SLMs, and professional serving stacks using vLLM and SGLang.

Learn how to choose optimal batch sizes for LLM serving to cut cost per token by up to 87%. Discover real-world results, batching types, hardware trade-offs, and proven techniques to reduce AI infrastructure costs.

Recent-posts

Securing Vibe Coding: Access Control, Data Privacy, and Repository Scope

Securing Vibe Coding: Access Control, Data Privacy, and Repository Scope

Apr, 28 2026

Caching and Performance in AI-Generated Web Apps: Where to Start

Caching and Performance in AI-Generated Web Apps: Where to Start

Dec, 14 2025

How Vision-Language Models Align Embeddings for Joint Understanding

How Vision-Language Models Align Embeddings for Joint Understanding

Jul, 27 2026

Fine-Tuning Multimodal AI: Dataset Design, Alignment Losses, and PEFT Strategies

Fine-Tuning Multimodal AI: Dataset Design, Alignment Losses, and PEFT Strategies

Jun, 24 2026

Training Non-Developers to Ship Secure Vibe-Coded Apps

Training Non-Developers to Ship Secure Vibe-Coded Apps

Feb, 8 2026