The fundamental error all of these GenAI use cases make is in assuming that people will want to read something that other people couldn't be bothered to write.

Come work with me! This posting is a role on the team I'm on. Voltron Data is a great place to work and this role has tons of growth potential. boards.greenhouse.io/voltrondata/jo…

When does Thesues make sense for your organization? We break it down by workload size in the 🧵

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,…

🔥 Already excited about Theseus? It gets better. 🔥

Dive deeper into what makes Theseus the ultimate choice for petabyte-scale data challenges with our bar-raising benchmarking report. See the proof of unparalleled performance & efficiency. 🚀

📊 Full report here:…

I’m too much a pragmatist to think AI is either all good or bad.

But of all of the use cases, migrations are a particularly good fit, IMO.

We used to rely on brute force, like regexing etc, and AI does a pretty decent job of changing between programming paradigms, and languages

If you want to know more about what 'the Facebook guys, the Voltron Data people' are arguing about, you can read the paper cited by Andy Pavlo (@[email protected]) on the slide or the beautiful 'Composable Codex' that the team published recently. See 🔗 to that and the lecture on the replies below.

💥💥💥 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.

Claypot AI is joining Voltron Data!

AI starts from data. By joining forces, we can further help companies leverage both batch and real-time data for AI applications, on top of Voltron Data’s GPU-native distributed engine Theseus.

venturebeat.com/data-infrastru…

For AI, GPUs are mostly…

Penguins going on a trip.. 🐧

I’ve been dabbling in Arrow for a few months now. My takeaway is that we spend soooooo much time reshaping data that it’s taking time off of our lives and money out of our wallets.

For the last decade, our team has championed #OpenSource Standards and software development on #GPUs .

Today, our CEO Josh Patterson takes it to the next level at #HPEdiscover .

Introducing Theseus: the accelerator-native data processing engine.

Now inside HPE Ezmeral Software.

Big day for us Voltron Data 🔥Our CEO Josh Patterson just announced Theseus, an embeddable, accelerator-native data engine!!!

Data preprocessing isn't keeping up with the performance of AI training! Theseus accelerates the FULL data system⏩

Learn more: voltrondata.com/theseus

So excited that we can finally talk about what we’ve been building! The final piece of our composable stack, Theseus, our GPU accelerated analytics engine. If you currently use Spark you’ll want to check out Theseus. It’s a game changer for everything data. #data #ai #HPC

Our first product from Voltron Data launched today — a composable, accelerator-native data processing engine 🎧 🎧 🎧

Read why an engine like this took years of intense engineering to develop in the The Composable Codex — 'The Wall & The Machine':
voltrondata.com/codex/wall-and…

Gergely Orosz This was one the reasons we created the R-Ladies directory in 2016: rladies.org/directory/

There are 1220 speakers you can invite to your conference.

The Wall is coming……and it’s 😱

Fortunately, Chapter 04 of the #ComposableCodex is HERE.

Read The Wall & The Machine to understand the macro trends (and threats) impacting data system performance in the face of #AI .

Available now: bit.ly/codex-04

In the NEW #ComposableCodex chapter we make one thing clear: Don't move your data. No really, don’t do it. Learn how composable connectivity standards for data format, access & transport help systems rise above the data sprawl. #ComposableDataSystems

bit.ly/codex-03

This is all my data engineering wisdom in one awesome resources. Y'all don't need to hire me as a consultant for your data pipelines anymore -- just go read this:

'Just use ApacheArrow'

This feels like it needs its own Randall Munroe panel (from Voltron Data Codex)