You can give it a shot in VM - I've done testing on macOS, and then used Ubuntu 24.04 home box to install it, also in multipass. In GitHub I put howto.
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Most recently: Salesforce via Twin Prime acq. Before that Xilinx. Interned at CCT@LSU, Computer Lab in Cambridge UK, Ericsson, HIIT.
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You can give it a shot in VM - I've done testing on macOS, and then used Ubuntu 24.04 home box to install it, also in multipass. In GitHub I put howto.
Why do you think it's a deal breaker for you?
But it's a good point--perhaps I need to add more examples to the page so that you can see right away what it's all about.
You submit heavy duty jobs without worrying about infra, and we take care of execution. We're starting with PDF extraction. Audio transcoding + STT (speech to text) is next. Video transcoding will follow.
This allows you to have $5/mo VPS and get media operations figured out.
I like all of those. NPR: $300m budget / 42m listeners = $7.14/yr. Sounds like if I donate $5/mo to KQED and $5/mo to KCSM, I'm supporting them to cover myself and couple other citizens?
I don't get what I can do to support PBS - when I press donate on PBS site, it sort of wants to direct me to KQED/KCSM donations again.
Anyone here with a little more time to understand/explain it?
Once the library of snippets gets beefy, and people can build boards with their Raspberry Pis and Zeros on them, it'll be a critical mass.
Good luck!
I know it's a brilliant team, and since ZFS/OpenSolaris/Dtrace I've known about Bryan. The product is a nicely looking product too. One thing I don't get is the target market. Who is it? Banks? Cloud vendors? Insurance companies? I think there's a part of the computer business that I don't get yet.
One guy in one of the previous HN threads here said that it's convenient to run 1 RFP for 1 box costing $1M-$2M vs running 30 RFPs for isolated components to put on the rack. Ok, I can see that. That's some argument.
But I know that Supermicro has rack assembly service. https://www.supermicro.com/en/products/rack and I'm sure Dells and HPEs have the same. Does it mean that it's impossible to call them and tell them: "Excuse me, I want 2 racks, 15 systems each, top of the line AMD CPU with RAM, NVMe storage, all maxed out, and whatever fastest Juniper switches you can find. Put me VMWare vFusion on it. Ship this thing to Infomart in Texas. I have $2M here with your name on it". They won't do this for me?
Its either this, or Oxide is going to e.g.: Bank of America, and along with RFP the bank is asking: "Show me complete supply chain records, including the source code to your boot loader, drivers, and any firmware that any component on this motherboard is running". And maybe that's ... impossible these days?
I'm the startup CTO, so not the consumer base, but after DHH started posting his thing about cloud exit, I decided to explore this, and I walked the floor of 3 DCs (in SV/TX). People who walk you around the DC don't appear to care about cables, fans or noise etc. If it's longer than 1hr on the floor, they'll put Airpods in and they're done. I've seen cages that look unified, pristine, with love and affection put into cable layout, and I've seen cages that look like a total mess. It's your cage--you only go there if things break.
My last guess is that maybe Oxide rack will end up being sort of what an Apple Macbook is among cheap HP/Acer laptops from Walmart. And it'll be a shiny toy of bold bearded IT dudes who work for GEICO IT by day, but by night they scavenge eBay for used server deals and get excited about the idea of running their own private rack in their basement. They can't afford it at home, but at work they'll want their own Oxide. If you're reading this, do know I know who you are.
C is less of a problem tbh. Postgres has good code style and its pretty consistent. The complexity of the internals is, and having a small community may infer the speed in which people help you.
This was the top reason that made us (Segmed.ai) give up on PostgreSQL FTS -- our folks require a very exact count of matches for medical conditions that are present in 20M reports. And doing COUNT() in PostgreSQL was crazy, crazy slow. If your extension could do simple len(invertedindex[word]) that would already be a great improvement.
ELK has it immediately, but at a cost of being one more thing to maintain, and the whole Logstash thing is clunky. I'd love to use FTS inside of PostgreSQL.
Does it work on the modern OSes?
To aggregate diverse data, we have partnered with many US-based and international hospitals and imaging clinics - about 600 healthcare institutions spanning 5 continents, to be exact.
We come, we integrate our healthcare ETL pipeline with a healthcare institution, and start de-identifying the institution’s data. We can do this for both historical and real-time data, as well as both text and images. We handle de-identification in a way ensuring that protected health information - or PHI - never leaves the premises of the institution.
Once this de-identified data transfer is established, we can aggregate our partners’ data inside of our Segmed Insight platform in the cloud. Insight is a web-app that our customers can enroll onto.
In Insight, users can search the data, and build patient cohorts appropriate for your research and development. For example, if you want to find chest CT scans of patients with lung cancer or pneumothorax, you can. Or, if you want to get down to the nitty-gritty and seek out knee MRIs of patients in the Eastern US aged 30-60 with a torn ACL who had their scans taken on a Siemens machine - you can do that too.
Once a user has built out their desired dataset, they can request a sample for Q/A purposes. We will deliver them a ZIP file with both de-identified reports and DICOM files (which contain the imaging information). If they are happy with this, they can then place an order and pay for their entire dataset, which they can get in hand within days.
We have ~100kLOC of Golang to do this fast (datasets are hundreds of GBs), and a bunch of Python to do ML at scale (classification, de-identification, OCR). We are on AWS. We are PostgreSQL / UNIX fans here, and we're looking for a lot of smart people (data engineers, data scientists, ML experts, hardcore software engineers and systems admins). Usual day is: how to extract million images without any PII out of the hospital and present it to clinical data scientists quickly.
Apply: https://www.segmed.ai/careers
Tech stack: Go, Python, AWS, RDS PostgreSQL, Redis, Airflow, ML
I'm a cofounder/CTO so DM me if you have questions.