the hardest part of using @archildata is needing use AWS. today, we're eliminating that requirement and introducing Archil managed buckets. now, you use Archil without any S3 configuration. if you also take advantage of Archil shells, you don't need any infrastructure at all.

s3, gcs, and r2 work great until you start getting 503 SlowDown responses. why do you need to design against these low limits? teams using @archildata don't have to. our high-performance storage layer supports tens of thousands of operations per second to even single objects.

hacker news doesn't think that SQLite can be run directly on S3. they're wrong. @archildata makes it possible to run any program on S3, without extra persistent storage, including complex read/write database use cases

really enjoyed getting to sit down with Gabriel and talk about @archildata’s journey and technology! give it a listen

wouldn't it be great if you could just go to the s3 console and run unix tools on what's in your bucket? now you can. today, @archildata is launching Shells, a one-click, ephemeral Linux machine attached to your S3 bucket so you can run vim, less, and grep right on your data.

Today, I’m thrilled to announce that @archildata is publicly available in preview. Infinite, shareable disks that are instantly connected to your data and radically simplify your system architecture. You can get access to the same high-quality data infrastructure that the frontier labs use with a single click right now.

Shout out to @ianlivingstone and @tnachen for hosting me on the Infra Pod last month. It was a great conversation about the inner workings of @archildata and where we see the data industry going in the next 10 years. Link to listen below 👇

we at @archildata have some exciting launches coming up in the next few weeks. if you're interested in using S3 / GCS like a local disk early, DM me for a sneak peek. 👀 everything will only accelerate from here

just found out that since this, i've become a top 50 user of Devin globally, now pushing ~60 PRs a day. AMA

The biggest wave in tech history is upon us. We at @Felicis just raised $900M, our largest fund yet, to back the founders who are brave and daring enough to imagine what's next. @datologyai @Letta_AI @yutori_ai @archildata @browser_use @lmarena_ai @wordware, thank you for having us on your journey.

Storage is the bottleneck of AI. @ArchilData makes cloud data as fast as local disk. Instant access to datasets of any scale. We’re excited to lead Archil’s seed funding & work with @jhleath to build a better data infrastructure platform for everyone. felicis.com/insight/investin…

RT @jhleath: The way developers interact with storage hasn’t changed since EC2 in 2006. We’re fixing that. Today, we’re announcing Archil’s…

@archildata is looking for a great distributed systems engineer! Do you love thinking through crash consistency and working with the kernel? Apply here: ycombinator.com/companies/ar…

Regatta Storage is now @archildata 👏. An Archil volume is an infinitely scalable, shareable storage device that provides instant access to massive data sets stored in S3. archil.com/post/introducing-…

First new post in a couple of weeks! There's been a lot of activity around @regattastorage this week, so I decided to write about the space. tl;dr It's pretty exciting! materializedview.io/p/the-qu…

we’re super bullish on the future of this space. developers really want disaggregated compute and storage!

We've launched @regattastorage on Hacker News today and hit the number 1 spot within a couple of minutes! Take a look here: news.ycombinator.com/item?id…

We've just launched support for @regattastorage to connect to non-S3 buckets, so all of you R2, GCS, and MinIO users can now get access to your data as a fast, unlimited file system!

🚀 @regattastorage launched! Transform S3 into an infinite, local file system "Cloud data that feels local." 🌐 regattastorage.com ⚡ Regatta makes existing data sets available to applications instantly, providing sub-millisecond access to data in S3 – 30x faster than just using S3. Improve performance by eliminating download and decompression time. 📈 Regatta allows applications to scale to any data set size. You don’t ever have to think about running out of disk space, scaling volumes, or sharding data again. 🔥 Regatta transforms your S3 buckets into a cloud-based file system that’s structured exactly like files on your local disk. Use it with your existing Pandas, PyTorch, and Spark applications – no special libraries needed. Just mount Regatta, point your application to it, and see instant performance improvements. 💸 Only pay for the data you use as you use it. Regatta automatically handles performance and capacity scaling so you don’t have to. 👀 Check out how easy Regatta is to set up and use: tella.tv/video/cm2num964000e… 🤝 They would love to work with you - reach out to the founder via Email! ‍ 💡 Try Regatta today by signing up here: regattastorage.com/ Congrats @jhleath!! fondo.info/4ef01JI

Reddit literally does not believe that it's possible to build a consistent, performant file system on S3, which makes it all the more exciting that we've done it at @regattastorage. Check out what they had to say here: teddit.net/r/aws/comments/1g…