Viewing profile — bmodel

We haven't tested it with hashcat yet but plan on doing so. If you get to it before us please let us know how it works!

I don't believe Nitro would allow you to access a GPU that's not directly connected to the CPU that the VM is running on. So swapping between GPU type or scaling to multiple GPUs i…

That understanding of the system is correct. To make it practical we've implemented a bunch of optimizations to minimize I/O cost. You can see how it performs on inference with BER…

Oh nice, I didn't know that! In that case it might work, you could try running `tnr run ./blender` (replace the ./blender with how you'd launch blender from the CLI) to see what ha…

Awesome, we'd love to chat! You can reach us at founders@thundercompute.com or join the discord https://discord.gg/nwuETS9jJK !

At the moment out tech is linux-only so it would not work with Blender. Down the line, we could see this being used for batched render jobs (i.e. to replace a render farm).

We kill the process to reset the GPU. Since we only store GPU state that's the only clean up we need to do

We have tested this with pytorch and huggingface and it is mostly stable (we know there are issues with pycuda and jax). In theory this should work with any libraries, however we'r…

We intercept api calls and use our own implementation to forward them to a remote machine. No eBPF (which I believe need to run in the kernel). As for latency, we've done a lot of …

We're still in our beta so it's entirely free for now (we can't promise a bug-free experience)! You have to make an account but it won't require payment details. Down the line we w…

We haven't tested with MIG or vGPU, but I think it would work since it's essentially physically partitioning the GPU. One of our main goals for the near future is to allow GPU shar…

Exactly! The finer grain sharing is one of the key things on our radar right now

Great point, there are a few benefits: 1. If you're actively developing and need a GPU then you typically would be paying the entire time the instance is running. Using Thunder mea…

We are not writing any kernel drivers, this runs entirely in userspace (this won't result in a crowdstrike level crash haha). Given that, if the network suddenly dropped then only …

Thank you! > is this a remote nvapi Essentially yes! Just to be clear, this covers the entire GPU not just the NVAPI (i.e. all of cuda). This functions like you have the physical c…

Great questions! To clarify the demo, we were ssh'd into a linux machine with no GPU. Going into more details for how this works, we intercept communication between the CPU and the…

We developed a tool to trick your computer into thinking it’s attached to a GPU which actually sits across a network. This allows you to switch the number or type of GPUs you’re us…

Essentially yes. The difference would be that we measure "what you use" more granularly since you'll only be charged while something is being run on the GPU, not the entire time th…