We're thrilled to share Modal Notebooks: a new, powerful cloud-hosted GPU notebook. It has modern real-time collaborative editing and is backed by our AI infrastructure — swap GPUs in seconds.
Modal Notebooks are generally available, and you can start using them now. 🧵
✨ just shipped ✨
new in the @MaterializeInc Console: an Environment Overview dashboard with 14 days of resource utilization in one quick view. it's never been easier to keep tabs on efficiency and resize with confidence.
check it out here: https://t.co/0fIO5oNF5A
it’s iconic and it’s accurate 💅
if you’re at Coalesce this week, drop by the @MaterializeInc booth to learn how you can dbt run your models once… and never again
Upcoming #NYC#meetup: "Leveraging a PL/RUST extension to protect sensitive #data in #PostgreSQL"
When: Oct 2
Where: @MaterializeInc offices
Speaker: @baffleio's VP of Engineering
RSVP: https://t.co/1yzeG8SGBr
we are less than 24 hours away from a Women in Tech happy hour here in NYC, sponsored by @MaterializeInc. and, we have 4 spots left! ✨
if you're interested in meeting some new friends, let me know! we'd love for you to join us.
I had a great time at #Current24 last week talking about consistency and streaming, and why you care should about it. in case you missed it... the recording is now live! ✨
catch up on the conversation here (and let me know what you think!):
https://t.co/szanim6wv8
@MaterializeInc is hosting a ✨ Women in Tech happy hour ✨ next Wednesday night in NYC.
if you're interested in coming along, let us know! we'd love to have you join us.
Heading to @confluentinc's #Current24 with the @MaterializeInc team! If you are attending I'd love to share what we're doing in the operational data space and how it can support your architecture and team goals.
I'm speaking at #Current24 next week! Come around for an overview of the CDC ecosystem + a spoiler of a new standalone, low-footprint CDC service built using Rust and @ApacheArrow. 👀
https://t.co/rbMZYKKLNr
In Postgres, my query takes 10 seconds. In @MaterializeInc, it's 10x faster—without dealing with read-replica consistency issues. Same results as running on the primary! 🚀