They went in the direction of OpenStack, which didn't pan out.
While at the sametime, Amazon ran the "Oracle playbook" and started offering Apps.
They went in the direction of OpenStack, which didn't pan out.
While at the sametime, Amazon ran the "Oracle playbook" and started offering Apps.
Rackspace just lost. They failed to grow into a market leader before their industry commoditized. When you're in the early rush, growth is all that matters. But now if you want to compete with AWS, you need to be cheaper to operate than they are, and that's extremely hard if you're not at their scale. GCP and Azure can do it, little companies can't.
For instance, Lambda Labs is "AWS for ML". They have GPU cloud instances with pre-configured ML packages and a network attached filesystem. That's all you need.
The other day, I wanted to run Stable Diffusion, but I don't have a GPU. I went to spin up a GPU instance in AWS, but got hit with a quota limit. By default, AWS accounts have a quota limit of 0 for GPU instances. Presumably to prevent fraudulent crypto mining. You have to file a support ticket that is manually looked at by humans to get this limit raised. In my case, it took 4 days for them to raise it.
I had an A100 instance running in minutes on Lambda Labs. It's significantly cheaper than AWS, too.
I'll be using Lambda Labs for all my future GPU needs, significantly better experience.
And whatever the answer is, one hopes that there is some particular reason why Lambda Labs doesn't think AWS could replicate it... otherwise, it wouldn't be a durable enough moat to defend their business model long-term.
But I wonder more about, say a fraudster using stolen credit cards or gift card abuse, to open an account, or abuse a free trial, and if Lambda Labs makes it super easy and low friction to start up a GPU, then the fraudster can open an account, mine crypto immediately, rack up as much crypto as they can for days or a month until billing fails or trial expires, and just try to squeeze Lambda for as much computing power as they can subject to Lambda’s ability to detect fraud.
Low friction for customers, usually translates directly to higher risk of abuse. AWS adds its limits and friction for a reason, not because they enjoy making life harder (esp. since, easier for customers == more business/revenue).
I always find it odd that people dismiss it.