To add to the point above: if you are really watching every cent for this demo, I actually went through a similar crunch last month when I needed to host a large model on a shoestring. My experience with Vast.ai Verified NVIDIA RTX 6000 Ada 48GB clusters was surprisingly solid for the price. While it is a marketplace and can feel a bit like the wild west, sticking to the verified hosts usually saves you the major headaches. Here are a few things I learned while trying to keep my own costs under that $300 mark:

• Avoid spot instances for the actual live demo; just pay the small on-demand premium so the machine doesnt get snatched mid-presentation.
• Check out FluidStack NVIDIA A100 80GB PCIe because they often have better stock than Lambda when everyone is rushing for the same chips.
• If you need serious power, CoreWeave NVIDIA HGX H100 80GB instances are fast. They cost more per hour but you spend less time waiting for inference, which can actually save money if you are efficient. I usually pre-build my environment into a Docker image before even renting the GPU. Ngl, nothing sucks more than paying hourly rates while you sit there watching pip install crawl along. Just spin it up, pull your image, run the demo, and kill the instance immediately. Its totally doable on your budget if you stay disciplined with the uptime. Good luck with the client... those live demos always feel like a gamble anyway.

I've been in that spot before and it's stressful. For a demo, I'd probably go with RunPod since their instances are easy to spin up. Maybe check out RunPod Secure Cloud NVIDIA A100 80GB because it stays within your budget if you only run it when needed.

• reliable availability usually
• decent pricing for short demos
• pretty safe for beginners Just make sure to stop the pod when you arent using it so you dont burn through that 300 too fast... you got this!

> aws seems way too expensive and i heard lambda labs is always out of stock Unfortunately, Lambda Labs inventory has been really unreliable lately. I had issues with their instance availability during a deployment last month and it just wasnt as good as expected for a professional demo. You should check out Vultr GPU Cloud NVIDIA H100 PCIe instead. They offer the professional stability you need and should easily fit that 300 dollar budget for a week.