AI Infrastructure

Enterprise Postgres platform for AI apps, with managed, BYO cloud, and on-prem deployment options. It adds built-in MCP access for agents, pgvector and hybrid search for RAG, branching for isolated experiments, and a path from prototype to production.

오픈소스 AI 인프라 산정 도구로, 보유 GPU나 목표 워크로드를 입력해 실행 가능한 모델, 필요 장비, 배치안, TCO 비교까지 계산합니다. LLM, RAG, VLM, 아바타, 음성 워크로드를 다루며 한국어/영어 UI와 여러 추천 경로를 제공합니다.

A portal layer that unifies multiple MCP servers behind one endpoint so AI clients can connect once and use three meta-tools instead of dozens or hundreds of exposed tools.

Jylus is an API for turning changing records, logs, telemetry, and JSON into compact, source-backed evidence packs for AI systems. The page includes a free trial, API examples, sample response structure, and published benchmark results.

OpenSpender is a self-custodial wallet for agent-to-agent payments. The page shows a command-line connect flow, explains allowance-based spending rules, and includes an example of one agent paying another through MCP-compatible tools.

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.

AetherGrid is a Python-based distributed compute orchestration project with API key auth, job lifecycle management, reconciliation, leases, and ADR-driven architecture notes. The snapshot shows a substantial repository with documentation, tests, Docker support, and detailed runtime and security decisions.

AletheionAGI is a grounding and memory layer for production AI. It adds persistent context, authorized evidence, and fail-closed delivery so AI systems can block unsupported claims before they reach users.

Memsprout is a shared AI-context layer for teams. Its docs show an MCP server, team spaces, role-based access, and a quickstart for connecting agents and sharing memories across teammates' clients.

Persistent cloud compute for AI agents, paired with an OpenAI-compatible model hub and usage caps from one account.

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.

CIYA is a deterministic storage and logic engine for LLMs, presented as a front layer that keeps AI interactions running across cloud, on-prem, and air-gapped setups.

A GitHub repository for a self-correcting algebraic agent swarm runtime. The README frames it as a bounded, cybernetic system for multi-agent workflows, with separate components for intake validation, intent bridging, and swarm control.

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.