Tag: inference optimization

Explore how to manage skyrocketing LLM compute budgets. Learn practical strategies for scaling roadmaps, choosing hardware, and optimizing inference costs.

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.