Inference API
HoldPlatforms
An API for sending prompts to AI models and receiving generated outputs.
Why it's here
Placed in Hold: 2 article(s) of evidence from 2 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 43%.
Evidence (2)
- 6Hacker News·7/31/2026researchWhy AI session portability is fading
The article argues that inference APIs are increasingly returning provider-bound state instead of a fully portable transcript. It says features like encrypted reasoning tokens, hidden subagent messages, server-side response IDs, and non-portable search or cache references make AI sessions harder to inspect, export, replay, audit, or delete independently of the provider.
- 6Hugging Face Blog·5/14/2026researchHugging Face explains asynchronous continuous batching for LLM inference
Hugging Face published a technical post showing how to separate CPU batch preparation from GPU compute in continuous batching for LLM inference. The article argues that asynchronous batching can reduce idle time between CPU and GPU work and improve throughput without requiring new kernels or model changes.