About SNAI

The Symposium on Networking and Artificial Intelligence

SNAI is a single-track symposium dedicated to the two-way intersection of computer networking and artificial intelligence. It was founded in 2024 to give a stable, peer-reviewed home to research that had previously been scattered across networking, ML, and systems venues.

Scope

SNAI welcomes submissions that advance either side of the network/AI intersection.

AI for networking

Learned congestion control, traffic engineering, routing, scheduling, anomaly detection, intrusion and fault diagnosis, intent-based and self-driving networks, closed-loop network automation, telemetry summarization, configuration synthesis, and operator-facing AI tools.

Networking for AI

Collective communication, RDMA and lossless fabrics, topology design and topology-aware scheduling for training clusters, congestion control for AI workloads, distributed training under bandwidth and jitter constraints, federated and split learning, edge inference placement, and the systems that sustain large-scale model serving.

History

SNAI began in 2024 as a single-track workshop of an associated conference, then grew rapidly into an independent annual symposium. Past editions:

3editions
230+submissions total
62papers published
440+attendees total
  • SNAI 2024 — 1st edition, Zhejiang University, Hangzhou, China · 87 submissions, 24 accepted, 180 attendees
  • SNAI 2025 — 2nd edition, Singapore Management University, Singapore · 143 submissions, 38 accepted, 260 attendees
  • SNAI 2026 — 3rd edition, Universitat Politècnica de Catalunya, Barcelona, Spain · submission deadline 21 August 2026

Code of conduct

SNAI is committed to a respectful, harassment-free environment for all participants, regardless of gender, gender identity, sexual orientation, disability, physical appearance, body size, race, age, or religion. All attendees, speakers, sponsors, and volunteers are expected to follow the SNAI code of conduct at all conference venues and online spaces.

Reports may be sent to [email protected]. Reports are handled confidentially by the conduct committee.

Steering Committee

WZ
Wei ZhangTsinghua University (Chair)
MR
Marta RibóUniversitat Politècnica de Catalunya
KN
Kenji NakamuraUniversity of Tokyo
AR
Aisha RahmanNational University of Singapore
DO
Daniel OkaforETH Zürich