
Estimate LLM RAM and VRAM
Size model weights and add explicit runtime and context reserves.
Open VRAM calculator →Independent AI infrastructure research
Agent Infra Guide focuses on the systems behind persistent AI agents: hosting, VPS infrastructure, deployment, recovery, GPU compute, local hardware, security, and operational cost.

Need a decision, not more research? Use the six-step kit to turn requirements, capacity, cost, and evidence into a defensible infrastructure recommendation.
New · Free interactive Planner Lite
Combine model size, usable RAM/VRAM, context, concurrency and privacy requirements into a transparent local, VPS, GPU cloud or hybrid starting recommendation. No account required.
Start from what you are trying to do
“I don't know whether to go local, VPS, GPU cloud or hybrid”
Answer five questions →
“I need to know what this will cost per month”
Estimate hosting cost →
“I need to know if my hardware can run the model”
Estimate RAM and VRAM →
“My agent has to stay up without me watching it”
Build the 24/7 runtime →
“I am weighing buying hardware against renting a GPU”
Compare local and cloud →
“I need to size a dedicated GPU server for local AI inference”
Try the Dedicated Server Advisor →
Free tools · actual interface previews
Use your own workload and prices. The previews show example inputs and planning results, not verified hardware measurements or provider quotes.
Start here
Compare managed platforms, PaaS, VPS infrastructure, GPU cloud, and local deployment models for persistent AI agents.
Understand the infrastructure requirements that matter when an agent needs to run continuously and recover reliably.
Compare dedicated GPU server configurations, dated provider prices, and monthly costs against VPS and GPU cloud options.
Check Qwen model-file sizes, memory planning by quantization, and AIG's measured Qwen2.5 results before choosing hardware.
Compare GPU rental providers by VRAM, regional availability, billing model and sourced prices—not headline hourly rates alone.
Compare self-hosted agent approaches by infrastructure, persistence, maintenance, security, and operational control.
Build the runtime around persistent state, queues, supervision, recovery, logs, backups, and least-privilege tool access.
Estimate infrastructure costs using your own VPS, GPU, storage, bandwidth, managed-service, or local-hardware assumptions.
Deployment guidance for the self-hosted agent runtimes, the VPS and GPU infrastructure underneath them, and the MCP servers they call. Every page states what is documented, what is calculated, and what has not been tested yet.