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...
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.
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).
> (you can see it openly discussed in their Discords).
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.
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...
A lot of Vast.ai GPUs are also firmware-limited, so it's a big gamble when you run your workloads. You also can't get a cluster.
It's fine for comfyui workloads or simple LLM inference, but you lose both privacy and stability.
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.
Could you please share screenshots?
Sam is welcome to peek at my generative furry porn all he wants ( ͡° ͜ʖ ͡°)
( ͠° ͟ʖ ͠°)
> 4.57× between cheapest and dearest, for the same chip
> What the 4.57× is not
> - InfiniBand
> - A datacentre SLA
> - Enterprise compliance, committed capacity...
ok
Worth nothing that neither of those costs 2x the price of running GPU itself
This is premise for https://skypilot.ai/, right? Cloud provider arbitrage.
I wish there was some kind of GPU marketplace so one could just arb this opportunity.
But a ps5.48xlarge has 8x H100s. Are the other options here comparable?
I guess the author hasn't discovered vast.ai which is a minefield.
runpod is incredible, im a big fan, but good luck with availability on any specific GPU above 20gb of vram when you actually want to use it.
last time I was trying to run some workloads there the pricing of an h100 was largely irrelevant.
Hmm, if it works. Was interested so thought I would go check it out. Their site seems busted atm.
Slop