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💥💥💥 We’re thrilled to welcome Chip Huyen Zhenzhong Xu and the Claypot AI (Voltron Data) team to Voltron Data. Together we’re paving the way for our customers to process more data….on #GPUs…in realtime…at scale….faster.

If you want to use a simpler stream processing solution or cut your Apache Flink bill by >50%, come to try RisingWave or directly talk to me. Customer stories and big logos coming out soon in our new website. Plus, Python wrapper for RisingWave is coming!

Check out the latest Ibis blog, where we explore how large language models fit into data workflows – from synthetic data generation to analytic code writing. Demos use AskMarvin & Ibis with the default DuckDB backend. ibis-project.org/posts/lms-for-…

Ibis 8.0 is out, including the first two dedicated streaming backends with Apache Flink and RisingWave! Stream-batch unification, here we come! ibis-project.org/posts/ibis-ver…

For the first time, DSs/MLEs can use an OSS and be 10x efficient doing cross-paradigm data processing (e.g., Streaming vs. Batch, Local vs. Distributed, OLTP vs. OLAP, CPU vs. GPU)! Ibis fits into composable data architecture and unifies abstractions on the language front end!

We have our first public roadmap! Check out the blog -- streaming backends, more geospatial operation supports in backends (like DuckDB), and a new ML library or two are on the way or already released! ibis-project.org/posts/roadmap-…

easy benchmark of the 8 million rows of contributor repo pairs from 2015 to 2024 thanks to Ibis. DuckDB comes out on top at 3.6x speedup to pandas. datafusion and polars data close behind. all the speedup of SQL, with 100% less SQL!

Ibis is working to unify batch and stream processing in a single Pythonic dataframe API! Check out the latest blog including the journey of Claypot AI discovering Ibis and contributing the Apache Flink backend: ibis-project.org/posts/unified-…

A significant challenge in transitioning from Pandas to polars data is the syntax difference. There's often debate over the numerous changes required. Then I realized that Ibis functions as a DataFrame programming language, allowing the use of DuckDB, Polars, or any other

Next week Voltron Data will be at @NVIDIA #GTC24 along with partners Lambda & HPE bringing serious news for our engine, Theseus, directly to you 🔥🔥🔥. I haven’t been this hyped since launching RAPIDS AI. Reach out to meet with me or my team to connect!

10 years of "it can't be done..." 7 NVIDIA GPU architectures... 5 years of RAPIDS AI... 3 years of Voltron Data... finally a petabyte-scale GPU-native engine that DOESN'T require you to change your data pipelines. Same code, same data formats, just modular, interoperable,

There will be a Q&A at the end as well so come with your questions for us about accelerated data processing!

Join us at PyCon US Our Ibis team is hosting a tutorial on May 15th at 1:30pm ET in Room 319. Team: @gilforsyth, @jcristharif, Naty Clementi and Phillip #PyConUS2024 #IbisData

Phillip Cloud Phillip talking at #PyConUS PyCon US maintainers summit about how we test 20+ backends on Ibis!

Voltron Data Ibis 2⃣ Closing Tech Gaps: Ibis is a game-changer for bridging the gap between SQL and Python data frames. It combines the power of modern SQL engines with the flexibility of Python, making backend computation smoother and cutting down on the usual data processing headaches.

TPC-H benchmarking on DuckDB, ApacheDataFusion, and polars data with Ibis! Full results can be found at ibis-bench.streamlit.app

Ibis is a Python open-source data frame library that works with many underlying data sources, including ClickHouse! The API supports relational operations translated to SQL and executed on the underlying database. Learn more in our latest video. 🎥 clickhou.se/3SBvRZ6

Yes, our biology may be limiting us from understanding the universe to its fullest extent. But it also defined the very nature of our curiosity and drive to explore. Cherish the two gifts that'll take us to no one has gone before: abstract thinking and tool building.

My new blog post is out! Learn how to unify data and AI operations with governance/enablement and strategy to overcome challenges like fragmented metadata and siloed Data/AI operations. Read more: zhenzhongxu.com/enabling-and-g… #AI #Data #Governance #Enablement #DataOps #MLOps #LLMOps