AI Infrastructure

Polygres is a Postgres platform built for agent and retrieval workloads, combining hosted PostgreSQL with native graph traversal, HNSW vector search, and hybrid retrieval APIs. The page shows a working product site, SDK usage, API/runtime connection details, and example hybrid queries.

Platinum.ai creates AI Website Profiles in llms.txt format so businesses can be read more easily by ChatGPT, Claude, Gemini, and other agents. The page includes a live scan CTA, a simple three-step workflow, industry examples, and pricing starting at $99.

infer0 lets users connect their own AI provider keys and authorize apps to use them, while developers integrate once and route requests through a provider-agnostic API layer.

A sourced model and short report exploring whether Europe could train a sovereign frontier AI model using public compute it already owns, with reproducible code, datasets, and a PDF report.

A GitHub repository guide to running state-of-the-art LLMs on local hardware, with concrete build notes, cost breakdowns, and runnable configs for large models.

Google Developers Blog post about integrating DFlash, a diffusion-style speculative decoding framework, into the vLLM TPU ecosystem to improve LLM serving speed on TPU v5p.

A DeepSeek paper about DSpark, a full-stack codebase for training and evaluating speculative decoding algorithms to speed up LLM inference.

A GitHub repository for a latency-separated AI memory retrieval and RAG system. The README describes fetch, compute, and ANN search stages, includes benchmark ranges, and exposes a public test endpoint.