Benoit C. - local AI & security

Security, local AI and sovereignty.

I publish here what I learn while building AgentVUE: security, AI that runs on your own hardware, and the day-to-day of software driven by AI agents that work the way employees would.

These notes are personal. The AgentVUE solution and its documentation live on agentvue.ai.

All articles
AgentVUE

Latest articles

40× RTX 5070 Ti: the rig behind AgentVUE

40× RTX 5070 Ti: the rig behind AgentVUE

640 GB VRAM · 5.5k+ t/s (PP) · 800 t/s (8 agents)

The final monster: 32 GPUs and 1 TB of VRAM

The final monster: 32 GPUs and 1 TB of VRAM

1 TB VRAM · 9.7 t/s (Kimi K2.6) · 4,800 W peak

Scaling to 16 GPUs: DeepSeek v3.2 and Qwen3.5 at home

Scaling to 16 GPUs: DeepSeek v3.2 and Qwen3.5 at home

512 GB VRAM · 32 t/s (Qwen3.5 397B) · ~€5.6k

My first local AI rig: 8 GPUs, 256 GB of VRAM, $880

My first local AI rig: 8 GPUs, 256 GB of VRAM, $880

256 GB VRAM · 26.8 t/s (MiniMax-M2.1) · $880

The journey at a glance: 8 → 16 → 32× MI50 → 40× RTX 5070 Ti - with all the details in the articles.

About

Benoit C.

More than ten years in data, security and identity - Safran, Idemia, EDF - then founding AgentVUE.

More about me.

Experience

  • Safran logo
  • IDEMIA logo
  • EDF logo