101–110 of 158 posts
This is a great move for OpenAI and one that should worry Anthropic. Bedrock was the only way I could use foundation models for a while given AWS lock-in and security requirements.
If you are wondering why anyone would spend more money to use these APIs through AWS instead of going direct: In some companies it’s nearly impossible to get new vendors approved. If the company has an AWS contract then you have to use what AWS offers.
If you've used AI coding models in a large corporate setting, you'll know that a lot of big corporate deployments basically require using AWS Bedrock for two simple reasons: 1. Large companies tend to already have an existing relationship with AWS, which makes things way easier to go through vs. setting up a new vendor relationship 2. Large companies tend to have strong internal requirements about making sure that in…
Every time somebody questions why you might "trust" AWS (or Azure or GCP or whatever), or why you'd pay this premium, I realize they are not accustomed to working in enterprise environments. In my case, I work at a large enterprise with strict data governance built into customer contracts, and (partly related, partly not) our own governance concerns. Using vendors where you not only have infosec permission, but they…
But their contract with Microslop prevents this?!?!? They specifically said like a month ago that they wouldn’t sell API access on AWS, they would only release specific products.
Every time somebody questions why you might "trust" AWS (or Azure or GCP or whatever), or why you'd pay this premium, I realize they are not accustomed to working in enterprise environments. In my case, I work at a large enterprise with strict data governance built into customer contracts, and (partly related, partly not) our own governance concerns. Using vendors where you not only have infosec permission, but they…
Have you considered checking the actual AWS contract and the limited liability they explicitly stipulate in contracts and even linked docs from marketing materials? If you read the fine print, you'll notice something funny. You are largely responsible for data loss, SLA claims require you to present concrete evidence, and the remediation you accepted is usually credits for future spend on specifically the same produc…
Earlier quoted context omitted.
Are you the CTO of a $1b+ revenue company?
Are they the only people allowed to fire someone?
It's easy to do blanket statements like "never choose azure", "avoid GCP at all cost" or "never again on AWS". Until real world comes your way and you are forced to deal with it.
That being said: I'd fire anyone choosing to deploy a workload on GCP.