Genpark Reconfigurable Dataflow Tensor Core Spatial Mapper Skill
БесплатноНе проверенReconfigurable Dataflow Unit RDU spatial tensor graph compiler (SambaNova style)
Описание
Reconfigurable Dataflow Unit RDU spatial tensor graph compiler (SambaNova style)
README
GenPark AI Agent Skill -- Reconfigurable Dataflow Unit RDU spatial tensor graph compiler (SambaNova style)
Quick Start
python example_usage.py
Architecture
graph LR
User([User / AI Agent]) -->|JSON Request| Skill[GenPark AI Skill]
Skill --> CoreEngine[Core Engine]
CoreEngine -->|Structured Output| User
MCP
python mcp_server.py
from github.com/alphaparkinc/genpark-reconfigurable-dataflow-tensor-core-spatial-mapper-skill
Установка Genpark Reconfigurable Dataflow Tensor Core Spatial Mapper Skill
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/alphaparkinc/genpark-reconfigurable-dataflow-tensor-core-spatial-mapper-skillFAQ
Genpark Reconfigurable Dataflow Tensor Core Spatial Mapper Skill MCP бесплатный?
Да, Genpark Reconfigurable Dataflow Tensor Core Spatial Mapper Skill MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Genpark Reconfigurable Dataflow Tensor Core Spatial Mapper Skill?
Нет, Genpark Reconfigurable Dataflow Tensor Core Spatial Mapper Skill работает без API-ключей и переменных окружения.
Genpark Reconfigurable Dataflow Tensor Core Spatial Mapper Skill — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Genpark Reconfigurable Dataflow Tensor Core Spatial Mapper Skill в Claude Desktop, Claude Code или Cursor?
Открой Genpark Reconfigurable Dataflow Tensor Core Spatial Mapper Skill на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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