🚀Thrilled to present PINNacle at #NeurIPS2024#! 🌍 📍Poster Location: West Ballroom, #5307#, 11am 🔑Highlights: - A comprehensive benchmark for Physics-Informed Neural Networks (PINNs). - Evaluates 10+ SOTA PINN methods on 20+ challenging PDE problems and more! Let's connect! #AI#

I am happy to announce that Gated DeltaNet-2 has been accepted to NeurIPS 2026 ! 🎉 🎊🥂 Our models are the new SOTA for hybrid/linear models ! Paper: Code:

TL;DR Routing between models at the token level looks great on paper, yet running it on today's serving stacks makes things slower. This paper fixes that with a purpose-built runtime. Accepted at NeurIPS 2026. Title: TokenRouter: Efficient Serving System for Token-Level LLM Routing URL: Points 🎯 R2R matches 32B quality while sending just 5% of tokens to the 32B model, versus roughly 40% of queries under query-level routing 🧱 But vLLM and SGLang assume every request is step-synchronous, so fast models idle waiting on slow ones and batches fragment on every switch ✍️ Developers write only route, send, and receive, tracing how a single request flows, while the runtime handles async execution 🔀 Each model gets its own subserver, with client, decoding, and inter-model loops decoupled and KV-cache preserved across handoffs ⏳ Instead of firing on arrival, the scheduler buffers to a threshold; wait too long and the small model starves, so the optimum is derived from a discrete-time Markov chain 📈 Wins on all 15 algorithm-by-workload combinations, with 2.01-64.15x higher throughput 🧪 Throughput holds steady when output grows from 2,048 to 8,192 tokens, where the standard baseline loses 58-85% of its own The range is wide though, and on Co-LLM and R-Stitch the 32B model alone still runs faster. Worth remembering this isn't a universal win. #LLM# #Inference#

Congratulations to Lightning AI’s Machine Learning Solutions Engineer, Sarah Ahmed, whose research was accepted to the Women in Machine Learning Workshop at NeurIPS 2026. Excited to have her share her work, "On Composing Cost-Reduction Techniques in Multi-Agent Systems: A Practitioner’s Empirical Study" at NeurIPS Atlanta this December.

Taylor Swift really needs to be more thoughtful about scheduling around ML conferences. First her Eras Tour finale clashed with #NeurIPS2024#. And now her wedding conflicts with the start of #ICML2026#? No regrets about turning down the wedding invite. See you soon in Seoul! 🇰🇷

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