AMD
Strategic local AI compute direction for heavier inference, coding and reasoning workloads, reducing unnecessary cloud-credit spend.
Technology Stack
Technologies are chosen by role, not by hype.
InnerChispa uses local servers, model providers, cloud infrastructure, open-source runtimes, business tools, device integrations and frontend frameworks. This page explains what each category contributes.
Intel
Support node for builds, browser review, tests, fallback execution and daily services.
OpenAI, Gemini, Claude, Qwen
Model providers and model families used when advanced capability, reasoning, coding, multimodal or research needs exceed local capacity.
MCP
The connective tissue between assistants, local services, tools, documents and operational state.
Google Cloud and Cloud Run
Public deployment, serverless backend hosting and AI/cloud-native workflow patterns.
Cloudflare
Edge routing, access, DNS/security patterns and public repair paths.
Alibaba Cloud and external infrastructure
Additional cloud capacity and deployment optionality when a project needs it.
Bright Data
Public web/labor-policy monitoring and data-gathering experiments for context-aware products.
MongoDB, Firestore, Supabase
Operational memory, product data stores, experiment data and structured app persistence.
ZKTeco and Hikvision
The bridge to attendance, access control, cameras and physical-world signals.
AMDIntelOpenAIGoogle CloudGeminiQwenClaudeDockerMongoDBGitHubCloudflareSupabaseReactTypeScriptPythonFastAPIMCPWhatsAppNotionZKTecoHikvisionUiPathDevpostlablab.ai