Use cases · High-memory · Pro (RAG, agent fleets, private LLM)
High-memory · Pro (RAG, agent fleets, private LLM)
AllAI & AgentsHigh-memory · Pro (RAG, agent fleets, private LLM)BotsWebsites, mail & services (dedicated IP)Self-hostingPrivacy & Anti-censorship
VPS for self-hosted RAG at scale
Retrieval-augmented generation stops being a laptop demo once the corpus is real. A vector index wants RAM, and your embeddings are your private data. Here's the sizing math and why high-memory, no-KYC hosting fits. From $55/mo.
→ pro-48
VPS for multi-agent systems and agent fleets
One agent is cheap to host. A crew of ten holding shared state is a memory problem. Sizing a CrewAI/LangGraph fleet, why state eats RAM, and where no-KYC high-memory fits. From $40/mo.
→ pro-32
VPS for private high-memory LLM inference
Bigger quantized models need real RAM, not a GPU you don't have. Where a high-memory CPU box runs 30B-class models privately, what's realistic, and where it isn't. From $70/mo.
→ pro-64