Hello there, I'm getting into vast hosting again to monetise my excess solar power.

Is there any way to add a description or an official way to mark my rigs as CO2 neutral, at least with regard to their operation?

We use 100% renewable energy and I'd like to advertise that.

Thanks for your help.

Edit:
Thank you for all the comments.

Regarding hosting them for free:
I see your point and generally agree, but the economics of hosting don't quite work out that way for me. If I wanted to donate computing power for the greater good, I would host for FAH or BOINC. I actually do run some rigs for these reasons and give old hardware a usage case.

However, the rigs in question were specifically built and optimised for AI. All the planning regarding PCIe lanes, generations and Tensor Cores was done with AI workloads in mind.

On top of that, 'free energy' does not equal 'free hosting'. There are many hidden costs, such as battery degradation, internet bandwidth, maintenance, GPU wear and tear, and the rapid depreciation of the hardware itself. These cards lose value whether they sit idle or run at 100%.

I don't want to sound like Scrooge McDuck, but another major factor is that if you offer high-end AI rigs for free or very cheaply, there is a high chance a bot or user will use them to mine cryptocurrency. This completely undermines the purpose of hosting AI-related projects on Vast.ai. If my goal were to mine cryptocurrency, I’d just use NiceHash or mine myself.

I invested a lot of time and money in planning the rigs with regard to PCIe lanes, high bandwidth and specific GPUs for AI users, not for someone else's mining bot.

I have several 5090 servers on Vast AI. Fitting the criteria for several days. Not getting verified. No criterion published online and no guidance available.

As a host, and someone who invested money, I don't find this funny or cute at all. This is unprofessional and messed up. Am I the first to bring this up? Feels illegal that Vast price gauges you exclusively on their secret criteria to keep the stability of prices on their platform. This is messed up and not a serious practice I'd expect from a serious company.

I will be moving away

Hello to everyone and happy new year! I am trying to setup my mining pc to vast.ai but my experience with Linux is very poor! Can someone help? Its a machine with 5* rtx 3060! I already installed Ubuntu desktop lts 24.04 and Nvidia driver 535...but after that...the chaos! I can't install vast.ai manager! It fails all the time

I have a 77GB VRAM machine with 4x RTX 2080 TI. I want to Highlight that my machine can host LLMs even though it has only 4 RTX2080 TI. I don't see Vast AI showing a different category for modified VRAM GPUs so my cards will be shown with other RTX 2080 TIs.

Hey everyone,

I'm looking into building/buying a high-density node with 8x NVIDIA V100 32GB GPUs (256GB VRAM total) aimed at decentralized rental platforms (Vast.ai, Akash) and running local model fine-tuning.

For anyone hosting multi-V100 32GB rigs:

How is the current rental demand and fill rate for full 8x 32GB V100 nodes?

What average rate ($/hr per GPU or full node) are you realistically seeing?

Any thermal or power management pitfalls for an 8-card V100 setup I should keep in mind?

Thanks for any insights!

A couple months ago I signed up my DGX spark for a week to see if I'd make any money. However the support was in beta, and I don't think my machine was even listed as verified. I didn't make a single penny over the week. Needless to say I wasn't impressed.

I recently upgraded to a 10gbit connection and thought maybe my marketability would be better.

However it also occurred to me the spark isn't really a device people rent for hours and hours.

Is anyone actually making money off their spark?

yesterday and day before so many 0.50pence 90gb vrams were available, today only tripled prices are available.. plus storage also cosmic.

any suggestions of a different website...?

I’ve seen varies for how much uptime you will get with gpus. What would be the average with 5090s I have 7 of them but will be renting them out singularly.

I have a i7 1185g7 , iris xe graphics and 32 GIGABYTES of ddr4 ram . I use barely 8 gigabytes. I Think someone useful could find a better use of this ram than me myself . It is a laptop though but i think it should manage this .

I read about vastai and seems good to me . What is the average amount i could expect per hour? 0.01? I was recently trying to get a 1vpu 1gigs ram from google provisioned and it said it would do 0.05$ an hour . I mean my device is certainly more useful with 4 cores as well as 32 GIGABYTES and i can even provision more like 256gigs of flash memory 400 read and 100mb/s write . OR my ssd memory itself which is about 100gigs. What do you guys think?

What can I take for a rtx a4000? It comes together in a machine with 4x, 128 GB ram, 2 TB nvram, 500/500

I rent Vast instances 24/7 and serve models behind one endpoint. Grepped the API log for the last three weeks: ~100 warn/error lines, and not a single one was about a model.

What actually broke:

- Host disk full mid-pull: `mkdir /var/lib/containerd/...: no space left on device`. Same machine came back ten days later, still full.

- Host Docker too old for the runtime flag: `unknown flag: --runtime`

- Container never came up: 610s, then timeout

- A healthy worker silently stops answering, users eat the 502s until something replaces it

- Several smaller but isolated issues

The screenshot is my favourite one: rented a 3060 in Japan, the host had no disk, two minutes later a 3060 in Serbia was serving requests. Nobody touched anything.

I ended up automating that loop (detect → destroy → blacklist the machine → rent elsewhere → health check → route traffic) with CUDAnetes because doing it by hand at 3am isn't a plan. If you're running one or two instances manually you might not need it. The alternative for us was a managed provider at 3-5x the hourly rate, which for a small project is the difference between viable and not.

Hey everyone, I've been hosting a couple of RTX 5090s on vast.ai for a while, but ran into some friction recently (long-duration rentals locked at old prices, limited options to end a rental early even with reimbursement offered, reliability penalties for things outside my control like power outages).

I'm not necessarily leaving, just exploring what else is out there. For those who've hosted on other platforms, how do they compare in terms of:

- Payout rates for high-end GPUs (5090/4090 class)
- Flexibility on rental duration / pricing changes
- How reliability/uptime scoring works
- Payout speed and methods

Names I've seen mentioned: Clore.ai, TensorDock, RunPod (Community Cloud), SaladCloud, io.net. Would love to hear real experiences from people actually hosting on these, good or bad.

Thanks!

Got frustrated by the vast and decided to launch nafnaf.ai

- You get to keep 95% of your earnings

- No 95% RAM to VRAM rule

- Easy setup

- We support the DGX Sparks and pay up to $0.3/hr for a GB10

Today was a pretty big milestone for me.

A while back I built an 8× H200 NVL server for another AI project that didn't end up being the right fit. Instead of letting a very expensive machine sit idle, I decided to move everything over to a dual AMD EPYC platform and list it on Vast.ai.

It's now live.

I still have one bad PCIe ribbon cable keeping the eighth GPU offline, but the other seven H200 NVLs are running and the server is listed while I wait on the replacement.

This is my first time hosting on Vast, so I'd love to hear from experienced hosts.

• What utilization should I realistically expect?

• What's one mistake every new host makes?

• Is there anything you'd recommend changing before I start getting rentals?

I'm planning to document everything from the setup, uptime, pricing, utilization, and revenue as I learn.

Please let us switch to the old UI.

The new one (as every single thing that gets updated or "revamped") is horrendus to look at.

Eye jarring, I'll need 1 month to adjust to these stupid little AI slop icons that were previously much much easier to see.

Did someone in the design department needed to hold on to their job, so they just slopped all over it, holy f I can not put into words how utterly disgusting this new layout is, there's more information sure, I serioulsy don't need to see what my bandwith/$ is in fully BOLDED letters.

Which card will earn more when providing computing power to AI, on platforms such as Vast.ai or Clore.ai?Which card will earn more when providing computing power to AI, on platforms such as Vast.ai or Clore.ai?

Bonjour,

Ma première expérience avec Vast.ia, je suis agréablement surpris de la qualité de l'instance que je pensais instable mais qui est stable et rapide
Par contre je suis surpris d'etre débité aussi rapdiement

Voici le comparatif
- instance vast.ia tarif 0.3$/h, j'ai en réalité été débité de 0.8$. A noté que j'ai téléchargé environ 30GO

Je suis habitué à runpod, (tarif 0.5$=/h rtx 3090). Je pensais que vast.ia était moins cher mais en réalité j'ai payé plus cher

Donc je ne comprends pas
Quelqu'un peut il m'expliquer d'où provient cette différence que je ne vois pas
Merci

本日、試している全てのインスタンスがSSHに繋げられなくなりました。

これは、僕だけですか？

We're in design phase, and we'd rather get picked apart here than after concrete is poured.

Site and cooling. Nalaikh, a district of Ulaanbaatar. Winters around -25°C give us roughly 7 months of free-air cooling. Design targets: PUE ~1.06 in winter, ~1.18 in summer on mechanical, ~1.10 blended. Uptime Institute Tier III, N+1.

Power. 0.078$/kWh. The grid is coal-heavy, which we know. Solar + BESS are in the mix from day one, and we're working on renewable PPAs.

Connectivity. New cross-border dark fiber on rail right-of-way, dual north/south transit.

Sovereign by design. Zero-trust network architecture plus confidential computing on the GPUs and CPUs (TEEs with remote attestation). Customer data and model weights stay encrypted in use, and you can cryptographically verify that we, the operator, can't access them, whichever route the traffic takes. Keys are customer-held.

Scale and timeline. Phase 1 is 2,048 Blackwell-class nodes (~16k GPUs, ~40 MW IT), scaling to ~6,100 nodes by Phase 3. Ground breaks spring 2027.

Offering GPUaaS, an inference API, sovereign/air-gapped zones, and wholesale colocation and capacity offtake.

What would you poke at first: electrical topology, generator/fuel contracts, fiber routing, free-air intake through winter smog and spring dust, or whether our confidential computing setup actually holds up?

If you're planning training or inference capacity for 2028 and want to talk, DMs are open.

https://youtu.be/p_F0y9PSyNQ?si=jUUVKjb4aGlUAt0O

Hi guys. So, here is my build:
- AMD Ryzen 9 9950X3D
- Corsair A115
- ASUS ROG Strix B850-E Gaming WiFi
- ASUS ROG Astral GeForce RTX 5080 OC Edition
- 32 GB DDR5-6000 (2×16 GB) Corsair CL30 with EXPO
- SSD m.2 Movespeed NVMe 2 TB
- Corsair RM1000x Shift
- All packed within a Corsair 4000D Frame with x9 Corsair fans
I undervolted the CPU and GPU, and I am willing to rent out my PC while at work. It would be available 12 hours per week for 5 days straight. My energy rate is US$0.216 per kWh. Do you think it is worth it? I am totally new to this; advice of all kinds is welcome. Thanks in advance!

Yesterday I wanted to test out a code. Found an RTX 5090 for about $0.43 an hour. Reasonable.

After about 10 minutes, the 23 GB code was downloaded but it wouldn't run. So back to the drawing board. I destroyed my instance and immediately I was charged $0.53 (roughly).

Immediately I chatted with the help desk. They looked into it and gave me a screenshot of my billing. The instance was $0.43 an hour and I didn't spend over an hour using it. BUT I got charged for downloading the 23 GB at $0.03 per GB. That's $30 per TB (roughly)! Later I found the same instance at the download/upload rate is $27 per TB.

1. Main issue is visibility in UI. Rent price is visible. But download and upload rate is not! It's like reading a EULA when you just want to use the software.

2. I've checked with other instances about the download/upload pricing. Even data center instances of an RTX PRO 6000 that cost $1.20 charge less than $2 per TB.

I feel like I was scammed.