Case Studyqwen3.5jetson thoredge deploymentagents
BrainiaK Deploys Pipeline On Jetson Thor T5000
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8.2
In mid-2025 engineers deployed BrainiaK — a full agentic knowledge pipeline — on NVIDIA's Jetson Thor T5000, running a 122B Qwen3.5 model quantized to AWQ-4bit entirely in 128 GB unified LPDDR5X memory. The stack uses vLLM, Docker Compose, composite memory, tool execution, and MathCore, delivering ~13 tokens/second and up to 32,000-token contexts on a single edge device. This demonstrates reproducible, on-premise agent deployment without cloud inference.
Scoring Rationale
High practical novelty and reproducible guidance, but constrained by specific Jetson Thor hardware and single-source implementation details.
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