FOSDEM 2026
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Schedule
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Tracks
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Developer rooms
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AI Plumbers

AI Plumbers

Room: UD2.120 (Chavanne)
Calendar: iCal, xCal
Chat: Join the conversation!

	09												10												11												12												13												14												15												16												17												18
Saturday																			Welcome to the AI Plumbers Devroom	Multimodal support in llama.cpp - Achievements and Future Directions					API Remoting for llama.cpp: Near-Native GPU Speed in macOS Containers					tract - an efficient rust neural network inference engine					Beyond TinyML: Balance inference accuracy and latency on MCUs										WebNN and WebLLM on RISC-V: Closing the AI Acceleration Gap with RVV and Tenstorrent					Single-source cross-platform GPU LLM inference with Slang and Rust										One GPU, Many Models: What Works and What Segfaults					Adventures in Model Quantization					Vulkan API for Machine Learning? Competing with CUDA and ROCm in llama.cpp					Running tinygrad and ggml on microcontroller NPUs		Data Lakes for AI: Open Table Formats as the Foundation		The Hidden Cost of Intelligence: The Energy Footprint of AI from Code to GPU Kernels	Lowering the barrier of entrance in AI-native system development		Supercharging LLM serving with Dynamo					Taming the LLM Zoo with Docker Model Runner: Inference with OCI Artifacts, llama.cpp, and vLLM					From Infrastructure to Production: A Year of Self-Hosted LLMs										Zero to matmul with the ET-SoC-1					All in RISC-V, RISC-V All in AI: Solving Real AI Compute Challenges with DeepComputing & Tenstorrent					Review of kernel and user-space Neural Processing Unit (NPU) chips support on Linux

Read the Call for Papers at https://aifoundry.org/#fosdem.

Event		Speakers	Start	End
Saturday
	Welcome to the AI Plumbers Devroom	Roman Shaposhnik, Tanya Dadasheva	10:30	10:35
	Multimodal support in llama.cpp - Achievements and Future Directions	Xuan-Son Nguyen	10:35	10:55
	API Remoting for llama.cpp: Near-Native GPU Speed in macOS Containers	Kevin Pouget	11:00	11:20
	tract - an efficient rust neural network inference engine	Julien Balian, Mathieu Poumeyrol	11:25	11:45
	Beyond TinyML: Balance inference accuracy and latency on MCUs	Charalampos Mainas, Anastassios Nanos	11:50	12:10
	WebNN and WebLLM on RISC-V: Closing the AI Acceleration Gap with RVV and Tenstorrent	Yuning Liang, Petr Penzin	12:40	13:00
	Single-source cross-platform GPU LLM inference with Slang and Rust	Crozet Sébastien	13:05	13:25
	One GPU, Many Models: What Works and What Segfaults	YASH PANCHAL	13:55	14:15
	Adventures in Model Quantization	ubergarm	14:20	14:40
	Vulkan API for Machine Learning? Competing with CUDA and ROCm in llama.cpp	Ruben Ortlam	14:45	15:05
	Running tinygrad and ggml on microcontroller NPUs	Roman Shaposhnik	15:10	15:15
	Data Lakes for AI: Open Table Formats as the Foundation	Jiffin Tony Thottan	15:20	15:25
	The Hidden Cost of Intelligence: The Energy Footprint of AI from Code to GPU Kernels	Tushar Sharma	15:30	15:35
	Lowering the barrier of entrance in AI-native system development	Tanya Dadasheva	15:35	15:40
	Supercharging LLM serving with Dynamo	Harry Kim, Anish Maddipoti	15:45	16:05
	Taming the LLM Zoo with Docker Model Runner: Inference with OCI Artifacts, llama.cpp, and vLLM	Eric Curtin, Dorin Geman	16:10	16:30
	From Infrastructure to Production: A Year of Self-Hosted LLMs	Mateusz Charytoniuk	16:35	16:55
	Zero to matmul with the ET-SoC-1	Peter Cawley	17:25	17:45
	All in RISC-V, RISC-V All in AI: Solving Real AI Compute Challenges with DeepComputing & Tenstorrent	Martin Chang, Danfeng Zhang	17:50	18:10
	Review of kernel and user-space Neural Processing Unit (NPU) chips support on Linux	Jakov Petrina Trnski	18:15	18:35

fosdem-2026

Brussels / 31 January & 1 February 2026

AI Plumbers

Saturday