You are completely mad if you are running any kind of valuable workload on Runpod community or Vast. Hosts are absolutely peeking inside the VM's (you can see it openly discussed in their Discords).
There's got to be a ton of valuable workloads that don't care much about secrecy.
Who cares if someones spying on the process of fine tuning a model to help us pick strawberries? Even if they could somehow find a competitor to sell it to - the competitor wouldn't be interested because the risk of violating trade secret law is surely greater than whatever they can glean from our training run...
I hold the inverse risk assessment- I think acting on a peek risk is much higher with larger operations such as OpenAi or eg Amazon -as they've allegedly done the same on their product marketplace and deciding on generic products, in addition to open source-alike service offerings.
Larger entities have the resources, the inclination and the protective legal teams to act much differently than a resource tight n-tier platform operator
GPUs set to lower power states and CPUs with frequency scaling turned down. That's the biggest hit and miss for what I'm doing. Honestly don't care if people are looking at my workloads as it's just processing public data. But do care if it's someone's laptop that's actively using 1/2 the vram.
Who cares if someones spying on the process of fine tuning a model to help us pick strawberries? Even if they could somehow find a competitor to sell it to - the competitor wouldn't be interested because the risk of violating trade secret law is surely greater than whatever they can glean from our training run...
There is law for patents. Trade secrets exist outside the realm of enforcement.
Larger entities have the resources, the inclination and the protective legal teams to act much differently than a resource tight n-tier platform operator
Can you explain? I haven’t used Runpod and don’t have time to search through a Discord to figure out what someone is talking about.
It's fine for comfyui workloads or simple LLM inference, but you lose both privacy and stability.
[1] "Silicon Index". Built against pricing observations, including listed prices and transaction data.
[2] "Ornn Compute Price Index (OCPI)". Claiming to use only executed transactions.
Your mileage may vary, but I find these new indices to be quite compelling.
[1] https://www.silicondata.com/products/silicon-index
[2] https://data.ornn.com/
And yup, its not just how much these resources cost, but how much people are willing to pay for them.
(edit: formatting)
> What the 4.57× is not
> - InfiniBand
> - A datacentre SLA
> - Enterprise compliance, committed capacity...
ok
I’ve run into many hosted GPUs with processes stuck, with outdated drivers/libraries, or poor Internet connections
last time I was trying to run some workloads there the pricing of an h100 was largely irrelevant.