Where the field meets.

Red Hat Asia PacificPyTorch Meetup Singapore

INUS LabsAI Research Summit 2026with Brian Chau

Red Hat · Network SchoolRed Hat Meetup at Network School

Self-Supervised RL and Patterns in TimeBenjamin Eysenbach, Princeton

Scalable Inference Algorithms for LLMsWoomin Song, KAIST

Artificial Hivemind: Open-Ended Homogeneity of LMsLiwei Jiang, NVIDIA

vLLM Compile Deep DiveAyush Satyam, PyTorch/vLLM

Instance-wise Understanding in Computer VisionPierre Musacchio, SNU VGI Lab

Determinism and Scalability in Post-Training RLEthan Su, ex-AMD

OML: AI-native Cryptography for Open-Model AttributionEdoardo Contente, Sentient

REFORM: Redefining Long-Context AI InferenceWoomin Song, KAIST

NVIDIA Dynamo: High Performance Open Source InterfaceWilliam Arnold, NVIDIA

dstack: AI Container Orchestration for AI TeamsAndrey Cheptsov, dstack CEO

Embedding Model Inference in ProductionPhilip Kiely, Baseten

Optimizing Large-Scale RL with SGLangChenyang Zhao, ByteDance

Floating Point Non-Associativity in MLBrian Chau, Network School

Edge AI & Hardware Co-DesignMarco Gonzalez, Red Hat

Understanding High Throughput LLM InferenceAyush Satyam, Red Hat