u/Late-Brother7489

Founder here, so yes, I apologize for the self promo.

The site is rentcompute.net. If you've used RunPod, the shape is familiar: pick a GPU, pick a template, deploy, and billing stops the second you stop the instance. No subscription, only prepaid credits.

Where it differs is that I stripped out the decisions. There's no secure cloud vs community cloud split to weigh to platforms such as runpod, no spot instances that vanish mid run, and every GPU model has a spread that shifts by host and region. You pick a card and go.

For this sub specifically: there's a ComfyUI template at deploy (it runs the yanwk/comfyui-boot image), so you're in ComfyUI about a minute after clicking. If you run A1111, Forge, or your own stack, point it at any Docker image instead. Either way you get SSH access to the container.

The catalog runs from 3060s up through 3090s, 4090s, 5090s, so there's a options whether you're doing SDXL, Flux, video models, or an overnight LoRA run your laptop can't touch.

Things I want to be upfront about:

• It's a marketplace, and a lot of the supply is community rigs rather than datacenters.
• It's a young platform. Availability on specific models comes and goes as hosts join.
• There might be a few bugs remaining, if so, please DM me.

The marketplace part cuts both ways, and that's the part a lot of providers don't offer. If you're the person on this sub with a 3090 or 4090 sitting idle 20 hours a day, you can list it and earn from those idle hours.

If you try it and something breaks, tell me. I read everything and I'm pushing fixes very often. Happy to answer questions in the comments.

I've been trying to pick up an M3 Ultra 96gb for my business over the last three months on every storefront, within minutes they're sold out.

Hell, I'm even willing to set up my own bot to try and get one at a fair price and not $17,000 like folks on Facebook or Ebay have them at.

Anyone got any tips before I join the dark side?

Hey everyone, I'm looking to purchase/build a local AI solution for various open source models coding such as versions of the Qwen 3.6 family and gemma 4 family, various image editing models, text to speech models, text to video models, and possibly some light training. I was looking at the Asus Ascent GX10 for 360,000 INR (around $3700) after the 18% GST discounts, but I'm truly unsure of what I need.

Also, power consumption/heat output is a concern for me, I don't want the room turning into a heat chamber as I see with other multi GPU builds.

I would be going for an M3 Ultra 96GB or m4 Max Mac Studio, but due to the recent price hikes and stock backorder, scalpers have been quoting me around 700,000 INR (Roughly $7500) for a 96gb M3 ultra.

I appreciate any suggestions, please do let me know

I'm buying a used M4 Max 14' MBP from eBay in the USA with shipping to India, however I'm concerned about the warranty. I want to get AppleCare one on it, but I'm unsure if I can get it in India when it arrives here.

How can I get AppleCare One on it after it arrives here? Is it something that can only be purchased when geographically in the USA?

Also, if it were to be a geographically locked, would a VPN with GPS spoofing allow me to buy it here?

Sorry for the self promo but

This started because my 3060 12GB, which I bought to mess around with local LLMs, does basically nothing most of the day except when I'm gaming or running a small SD batch. With power prices the way they are I kept thinking there's got to be a way to make the card earn for me instead of just sitting idle all the time.

So I've been building RentCompute (https://node.rentcompute.net). You install a small agent, and when you're not using the machine it rents the GPU out to people who need compute (AI training, rendering, that sort of thing). You get paid per hour and cash out as gift cards. When nobody's renting, it can run a fallback workload so the card isn't idling for free either.

Few things that I figured matter to a lot of us here specifically:

works behind CGNAT. The agent dials out, no port forwarding or public IP needed. Loads of us are stuck behind CGNAT these days (half the ISPs now), so this was non negotiable for me.

you set the limits, temp cap, power limit via nvidia-smi, and a schedule so it backs off when you actually sit down to use the box.

renter jobs run in an isolated container, no access to your files or LAN. That said I'm not going to pretend it's zero risk. You're running a stranger's code, so treat it that way and actually read the disclaimers.

runs on Windows or Ubuntu, so it just slots in next to whatever else you've got running. And if you've got an old gaming card or a mining rig collecting dust there's a HiveOS package so you don't have to reflash anything.

And no crypto nonsense, it's just renting out compute.

Being completely honest about money because this sub will see through it otherwise: this is not get rich quick stuff. On one mid-range card you're mostly offsetting your electricity while turning a small profit, more if you've got a 3090/4090 or a few cards and decent uptime. Demand isn't very large yet but is starting to pick up, which is mostly why I'm posting, I'd rather have a handful of real hosts giving me brutal feedback than show off fake numbers.

If anyone wants to throw it on a spare card I'll help you set it up myself. I genuinely want the most honest kind of feedback.

Sorry for the self promo but

This started because my 3060 12GB which I bought to experiment with local LLMS does basically nothing most of the day except when I'm gaming or running a small SD batch. With power at Rs 8/kwh here I kept thinking there's got to be a way to make the card earn for me instead of just sitting idle all the time.

So I've been building RentCompute (https://node.rentcompute.net). You install a small agent, and when you're not using the machine it rents the GPU out to people who need compute (AI training, rendering, that sort of thing). You get paid per hour and cash out as gift cards. When nobody's renting, it can run a fallback workload so the card isn't idling for free either.

Few things that I figured matter a lot of us specifically:

• works behind CGNAT. The agent dials out, no port forwarding or public IP needed. Most of us are stuck behind Act/Jio CGNAT so this was non-negotiable for me.
• you set the limits, temp cap, power limit via nvidia-smi, and a schedule so it backs off when you actually sit down to use the PC.
• renter jobs run in an isolated container, no access to your files or LAN. That said I'm not going to pretend it's zero risk. You're running a stranger's code, so treat it that way and actually read the disclaimers.
• runs on Windows or Ubuntu, and if you've got an old mining rig collecting dust there's a HiveOS package so you don't have to reflash anything.

Being completely honest about money because this sub will see through it otherwise: this is not get rich quick stuff. On one mid-range card you're mostly offsetting your electricity while turning a profit, more if you've got a 3090/4090 or a few cards and decent uptime. Demand isn't very large yet, which is mostly why I'm posting, I'd rather have a handful of real hosts giving me brutal feedback than show off fake numbers.

If anyone wants to throw it on a spare card I'll help you set it up myself. I really want the most honest kind of feedback.

Hey everyone, I need a UPS for my bambulab P1S in India (230V at 50Hz).

I tried a 1600VA ups on amazon however it uses a 16A plug instead of a 6A plug which my outlets have.

Would I be able to use a smaller UPS (1000VA likely) with a 6A plug on a stepdown transformer (120V) to connect the P1S so it doesn't draw more than 350W and can support the UPS? Will it be safe?

Price: 55,000

16GB Ram

256GB

11 Months warranty remaining

Purchased for 59,990 in April 2026

Eligible to purchase extended AppleCare+ until June 21st

Selling because the storage is insufficient for my use case

Perfect condition, barely used

Location: Gachibowli Area

https://preview.redd.it/vk3f9zsget5h1.png?width=2048&format=png&auto=webp&s=caa1e8c388bde2c6dd182b1dcf2c929ffa901287

https://preview.redd.it/nvk0j4brbt5h1.png?width=1254&format=png&auto=webp&s=cc806f906b4ecedd290889e195b5dd8e52cf806e

Price: 55,000

16GB Ram

256GB

11 Months warranty remaining

Purchased for 59,990 in April 2026

Eligible to purchase extended AppleCare+ until June 21st

Selling because the storage is insufficient for my use case

Perfect condition, barely used

Location: Gachibowli Area

Hi guys, my Corsair RM850x which I bought and started using in January of last year suddenly melted the PCIe cables inside the PSU itself, which caused the GPU's fans to max out and make an really loud noise.

I turned it off, unplugged it, and don't know what to do with the PSU, or what to do next. Can anyone please help me out with concluding on my components being safe to use with a new unit, and the RMA process I'd have to go through to get a replacement PSU?

Also, I've used it for over a year reliably, ensured that the cables were snug and fit/clipped into the PSU/GPU fully before turning it on. I also cleaned the PC, including the power supply twice in that time frame, until now.

https://preview.redd.it/25lr28be7h3h1.png?width=1961&format=png&auto=webp&s=1ec89f0a903379f6314f37f23793f80d047e90c2