The multimodal lakehouse for AI, accelerating large-scale data curation and feature engineering so teams can build better models faster.
San Francisco, CA
Joined April 2023
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LanceDB retweeted
Proud to welcome our newest sponsors to SGLang Summit.
In just one week since our public announcement, our sponsor lineup has grown from 11 to 36. Thank you to every sponsor helping bring this community together.
Join 2,000+ engineers, researchers, and builders from across the AI ecosystem for technical sessions, hands-on workshops, and the GPU Expo.
Hear from Lip-Bu Tan, Lilian Weng, Soumith Chintala, Aravind Srinivas, and more. Meet the teams building across AI hardware, infrastructure, models, and applications.
🗓️ November 12–13, 2026
🌉 Fort Mason, San Francisco
🎟️ Get your tickets: sglang.io/summit
LanceDB retweeted
here are all of the awesome stickers we had at #Reverie2026
im being convinced that i should turn the “honk if you’re an autonomous vehicle” one into a real car decal
LanceDB retweeted
sweet dreams 🤍 #Reverie2026
thank you all for being part of something i’ll never forget
LanceDB retweeted
load in day for #Reverie2026!!!
last chance to buy your tickets is TONIGHT 🏃🏻♀️
LanceDB retweeted
Keeping training data on S3 often means maintaining another storage layer just to feed the GPUs.
Join Adharvan Jakkula, HPC Engineer at @Zoox, at #Reverie2026 for the tradeoffs behind training straight from S3, while pushing for performance close to HPC storage.
Apply to attend → na2.hubs.ly/H08kkwf0
LanceDB retweeted
ICYMI: We spotlighted some incredible startups in Times Square. ✨
Now, get to know the people behind them.
Hear from @lancedb’s Christie Schaefer and @FerrumHealth’s Richard Sörberg and Austin Deer about their companies, what they’re building and the problems they’re working to solve.
Learn more about Microsoft for Startups here: msft.it/6013acXQS
#MicrosoftForStartups #Startups #AI #Tech
LanceDB retweeted
Feature of the Week: Batch Vector Search Now Shares IVF Partition Scans
In a batch, many queries want the same IVF partitions, but Lance was re-reading them per query. Now it loads each partition once and scores every query that wants it.
Same answers, ~2.5x faster 🚀
@lancedb
LanceDB retweeted
stable-worldmodel got into neurips 2026!
it's basically everything we keep rebuilding for world model research (data loading, baselines, planning, evals) in one place so nobody has to do it again
arxiv.org/abs/2605.21800
LanceDB retweeted
The best kind of work almost always comes from collaborations!
This time @loldedxd helped me figure out the internal workings on funes. While I knew how to make funes work, he made sure I understand how things run on my system.
It is a fun 30 mins read.
huggingface.co/blog/ariG2349…
LanceDB retweeted
Opening a dataset in Lance Data Viewer is faster now, thanks to a PR from @destiny032517.
It used to take three steps: fetch the schema, then the columns, then the first page of rows, each waiting for the one before it to finish. On a local folder you never notice it, but point it at data on NFS or S3 and those round trips add up.
There is now one /metadata call that returns the schema and column info together. Three requests in sequence became two in parallel.
github.com/lance-format/lanc…
LanceDB retweeted
Multimodal data curation at Ray Summit 2026.
Engineers from @RecursionPharma, @Apple, @LumaLabsAI, @Discord, @Heartflow, @CoreWeave, and @LanceDB on the data pipelines underneath multimodal AI.
SF, Aug 24-26
na2.hubs.ly/H06_w4b0
LanceDB retweeted
The sharpest questions in AI live at the local–cloud boundary : where should inference run, & where should your data live?
In town for AIE? Come hash it out with @theoryvc, @lancedb & @ollama.
June 30 · 6–9PM · SPIN SF 🏓 luma.com/localserve
LanceDB retweeted
Most work still relies on MP4 videos ... creating a major bottleneck that kills GPU utilization and training throughput.
Not anymore.
We teamed up with the incredible @lancedb team to build blazing-fast data loading with native @huggingface bucket streaming support! ⚡
LanceDB retweeted
Would you like to join the research effort on JEPA and World Models easily?
After a full year of hard work, we’re excited to finally release stable-worldmodel:
an open-source, scalable platform built to accelerate JEPA & World Model research!
📄: github.com/galilai-group/sta…
LanceDB retweeted
Lots of events happening in May, in both NYC & SF! Hope to see you there, and stay in the loop with @lancedb
luma.com/LanceDB
