Unverified50% confidenceFactExact time
Gui Costa's VPS resource estimate: each agent typically needs 2 to 2.5 GB of memory; the KVM 1 plan can run 1 to 2 agents, KVM 2 can run 3 to 4, KVM 4 can run 8, and KVM 8 is aimed at companies with many agents and intensive tasks.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/17/2026
First Seen
Valid until: 1/15/2027
Sources
Stop Using Claude and ChatGPT? A Deep Dive into Hermes Self-Hosted AI Agent Architecture
youtubeGui Costa10/16/2026
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Related Claims
UnverifiedIn this solution, each Agent runs on a separate VPS (the author uses Upstash's Box), each allocated its own hardware resources, such as 2 CPUs and 4 GB of memory.69% similarVerifiedThe VRAM consumption of the KV cache is proportional to context length, number of model layers, and number of attention heads; under an 8K context, a typical 27B model may consume an additional 2–4 GB of VRAM.67% similarPartially VerifiedThe entire system runs on a server with 1 vCPU, 2 GB of memory, and no GPU; the author recommends running only one process at a time, calling gc.collect() between assets, measuring peak memory with resource.getrusage, and rendering at the resolution actually needed67% similarUnverifiedThe runtime uses a four-tier storage architecture: the GPU maintains approximately 3.5 GB for attention/routers/shared experts and caches approximately 4,500 high-frequency experts; RAM stores all 24,576 experts; and the SSD stores approximately 28.8 GB of parameter lookup tables and N-Gram group tables.66% similar
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