Need VPS for Encoding

NubukiNubuki
edited November 2022 in Requests

I Need a cheap vps for encoding videos via ffmpeg and don't wanna deal with issues arising from abuse or what not and would like any recommendations suggestions or offers.
Budget:
10$ (I'll appreciate anything lower though & I might consider up till $15)
Locations: (Continents: Europe, America )

(I'm kinda new here so sorry in advance)
(Can some help me move this to a different thread my bad 🥲)

Teehee!

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Comments

  • MikeAMikeA Hosting ProviderOG

    Why not get cheap dedi for guaranteed resources and no bs? OVH Eco range has $25 E3v2 and $30 i7-4970K dedicated servers... https://eco.ovhcloud.com/en/

    Surely better than using a VPS and potentially getting throttled.

    Thanked by (2)nick_ Nubuki

    ExtraVM

  • dosaidosai OG

    I would recommend getting Google colab pro/pro+.

  • FrankZFrankZ Moderator
    edited November 2022

    @Nubuki I have moved this thread from "Free Offers and Stuff" to "Requests".
    Additionally Wishosting offers VPS that have unlimited CPU use for a pretty reasonable price.

    Thanked by (2)nick_ Nubuki

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  • atomiatomi OG

    You didnt say anything about the location but you could get something cheap with dedicated cpu from php-friends in this black friday

  • NubukiNubuki

    @dosai said:
    I would recommend getting Google colab pro/pro+.

    Don't those die if left alone for more than an 1hr and is the cpu fast?
    I've used the original colab and didn't like it one bit

    Teehee!

  • cccccc

    Better use Dedi or Cloud computing.

  • jmgcaguiclajmgcaguicla
    edited November 2022

    If you don't need it 24/7, an hourly billed VPS with a GPU would probably work, check out TensorDock (or the other big boy clouds that offer GPU compute).

    Thanked by (3)yoursunny chimichurri tetech
  • dosaidosai OG

    @Nubuki said:

    @dosai said:
    I would recommend getting Google colab pro/pro+.

    Don't those die if left alone for more than an 1hr and is the cpu fast?
    I've used the original colab and didn't like it one bit

    Not on the paid account. Pro has latest GPUs.

  • james50ajames50a OG
    edited November 2022

    Would recommend data ideas to just Rent a rasbery pi. Gpu encoding usually faster than cpu and you won't find a cheaper option.

    Recommended hosts:
    Letbox, Data ideas, Hetzner

  • skorupionskorupion Services Provider
    edited November 2022

    What do you define as cheap (please provide a price range)

    Crunchbits Technical Support, Technical Writer, and Sales
    Contact me at: +1 (509) 606-3569 or [email protected]

  • NubukiNubuki

    @skorupion said:
    What do you define as cheap (please provide a price range)

    1$ - 15$ -_-'

    Teehee!

  • NubukiNubuki

    @FrankZ said:

    Additionally Wishosting offers VPS that have unlimited CPU use for a pretty reasonable price.

    Will it hold up
    Don't wanna get suspended

    Teehee!

  • yoursunnyyoursunny OG

    Nowadays, I encode my push-ups with an on-premise machine that has 4 Skylake cores.
    I can use the cores at 380% without triggering any abuse notices.
    It's much faster than using a cheap VPS where I have to limit CPU usage to 150% or less.

    While I researched how to encode with GPU, I don't generally use it because GPU encoding almost always produces inferior results compared to software encoding, although the difference could be small.
    Moreover, GPU supports fewer codecs than software encoders.

    Thanked by (3)ariq01 ralf tenji

    Accepting submissions for IPv6 less than /64 Hall of Incompetence.

  • lentrolentro Hosting Provider

    Grab a cheap GPU VM from the TensorDock Marketplace: https://marketplace.tensordock.com/order_list

    :)

  • tetechtetech OG

    @jmgcaguicla said:
    If you don't need it 24/7, an hourly billed VPS with a GPU would probably work, check out TensorDock (or the other big boy clouds that offer GPU compute).

    Good comment. We do this in Azure with a queueing system.

    We've got instances for CPU and GPU, and generally lean towards an 8-core CPU which codes 4 streams + thumbnails in real time. GPU is faster but costs more per hour, so CPU ends up saving us a few pennies but our main reason for that preference is better control of the output.

    We don't use TensorDock for a few reasons. Mostly because the storage cost when the instance is deallocated is more expensive than Azure and eliminates any cost savings while running.

    Thanked by (2)Nubuki chimichurri
  • gemini86gemini86

    I also prefer CPU encoding than GPU. I recommend Hetzner Cloud (CPU encode, hourly billing).

  • NubukiNubuki

    @tetech said:

    @jmgcaguicla said:
    If you don't need it 24/7, an hourly billed VPS with a GPU would probably work, check out TensorDock (or the other big boy clouds that offer GPU compute).

    Good comment. We do this in Azure with a queueing system.

    We've got instances for CPU and GPU, and generally lean towards an 8-core CPU which codes 4 streams + thumbnails in real time. GPU is faster but costs more per hour, so CPU ends up saving us a few pennies but our main reason for that preference is better control of the output.

    We don't use TensorDock for a few reasons. Mostly because the storage cost when the instance is deallocated is more expensive than Azure and eliminates any cost savings while running.

    Issue here is that I intend to use a python script to automatically get new videos when they are available, encode, then upload out
    to maybe gdrive

    Teehee!

  • NubukiNubuki

    @yoursunny said:
    Nowadays, I encode my push-ups with an on-premise machine that has 4 Skylake cores.
    I can use the cores at 380% without triggering any abuse notices.
    It's much faster than using a cheap VPS where I have to limit CPU usage to 150% or less.

    While I researched how to encode with GPU, I don't generally use it because GPU encoding almost always produces inferior results compared to software encoding, although the difference could be small.
    Moreover, GPU supports fewer codecs than software encoders.

    How expensive is it ?

    Teehee!

  • fluttershyfluttershy

    +1 for tensordock, great service. I also agree with @yoursunny and mostly encode video on my dedicated machines, since I'm able to max out the CPU 24/7.

  • tetechtetech OG

    @yoursunny said:
    Nowadays, I encode my push-ups with an on-premise machine that has 4 Skylake cores.
    I can use the cores at 380% without triggering any abuse notices.
    It's much faster than using a cheap VPS where I have to limit CPU usage to 150% or less.

    While I researched how to encode with GPU, I don't generally use it because GPU encoding almost always produces inferior results compared to software encoding, although the difference could be small.
    Moreover, GPU supports fewer codecs than software encoders.

    The results highly depend on the GPU. We've found NVENC with Turing+ architecture is pretty good. Agreed about the number of codecs, but that's only relevant if you want to use an encoder which the GPU doesn't support.

    In the end it depends on your use. For live video we always offload the encoding to NVENC. For on-premise batch encoding we're doing it in software with 32 cores since we hit the nVidia limit on parallel NVENC instances for consumer cards.

  • tetechtetech OG

    @Nubuki said:

    @tetech said:

    @jmgcaguicla said:
    If you don't need it 24/7, an hourly billed VPS with a GPU would probably work, check out TensorDock (or the other big boy clouds that offer GPU compute).

    Good comment. We do this in Azure with a queueing system.

    We've got instances for CPU and GPU, and generally lean towards an 8-core CPU which codes 4 streams + thumbnails in real time. GPU is faster but costs more per hour, so CPU ends up saving us a few pennies but our main reason for that preference is better control of the output.

    We don't use TensorDock for a few reasons. Mostly because the storage cost when the instance is deallocated is more expensive than Azure and eliminates any cost savings while running.

    Issue here is that I intend to use a python script to automatically get new videos when they are available, encode, then upload out
    to maybe gdrive

    You haven't said how much encoding time you need, which is the key question.

    Thanked by (1)chimichurri
  • NubukiNubuki

    @tetech said:

    You haven't said how much encoding time you need, which is the key question.

    For the normal grab and encode an hour or less per video

    Teehee!

  • skorupionskorupion Services Provider

    DM'd

    Thanked by (1)Nubuki

    Crunchbits Technical Support, Technical Writer, and Sales
    Contact me at: +1 (509) 606-3569 or [email protected]

  • tetechtetech OG

    @Nubuki said:

    @tetech said:

    You haven't said how much encoding time you need, which is the key question.

    For the normal grab and encode an hour or less per video

    That's not particularly helpful without the number of videos.

  • FrankZFrankZ Moderator
    edited November 2022

    @Nubuki said:

    @FrankZ said:

    Additionally Wishosting offers VPS that have unlimited CPU use for a pretty reasonable price.

    Will it hold up
    Don't wanna get suspended

    From their AUP regarding KVM VMs from the link I gave you above, " KVM line has an unlimited CPU usage policy if you use one VM per package. " It says "if you use one VM per package. " because they have/had some packages you can split into two VMs.

    There could be a 5950x package open shortly on their flash sale page as I know someone who has one expiring today. :)
    His use case was very CPU intensive and he never had an issue getting suspended.

    I have also put in a ticket to sales to confirm your question. I'll let you know what they say when they get back to me.
    EDIT: Ticket response from WisHosting. "Yes, you can use the CPU 100% 24/7"

    Of course if @skorupion makes you a decent offer that fits your needs I would take it. :)

    Thanked by (1)skorupion

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  • chimichurrichimichurri
    edited November 2022

    Four ideas from me

    0 dollars per month: https://www.oracle.com/cloud/free/ - actually I'm using ffmpeg on their ARM servers myself! (btw, the ARM repo ffmpeg binaries tend to be old, be sure to get a static build from John Van Sickle)
    caveats: there are cases of (apparently random) bans out there

    4 euros per month: https://www.ikoula.com/en/dedicated-server/raspberry-pi-4-micro-server
    caveats: IPv6 only, 16GB disk

    over 6 dollars per month: Azure D2a v4 spot Mumbai + the smallest possible HDD
    caveats: outgoing bandwidth past the first 100GB every month is expensive, spot instance implies they might be randomly terminated any time, and the location is not what you requested

    19 dollars per month: https://us.ovh.com/us/order/dedicated/?configure=1&v=2&ecorange=#/dedicated/configure?selection=~(datacenters~(~)~invoiceName~'KS-LE-1) (this is about the same as the Oracle ARM instance, at least judging by their respective Geekbench 5 scores)
    caveats: over your budget, but hey, it's a great deal! (unless you're biased against OVH)

    EDIT: fixed broken KS-LE link
    EDIT2: sorry I give up, just copy paste the last link (alternatively order from here https://eco.ovhcloud.com/en-ie/ or https://eco.ovhcloud.com/en-gb/ depending on your preferred currency )

    Thanked by (6)tetech FrankZ tototo Nubuki ElonBezos Murv

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  • yoursunnyyoursunny OG

    @Nubuki said:

    @yoursunny said:
    Nowadays, I encode my push-ups with an on-premise machine that has 4 Skylake cores.
    I can use the cores at 380% without triggering any abuse notices.
    It's much faster than using a cheap VPS where I have to limit CPU usage to 150% or less.

    How expensive is it ?

    It's a refurbished mini desktop for $300 one time.
    There's no recurring marginal cost.

    The processor is Intel Core i5-6700T.

    @tetech said:
    We don't use TensorDock for a few reasons. Mostly because the storage cost when the instance is deallocated is more expensive than Azure and eliminates any cost savings while running.

    Redo the setup with a script every time from a clean machine, which eliminates stopped storage cost.

    Accepting submissions for IPv6 less than /64 Hall of Incompetence.

  • tetechtetech OG

    @yoursunny said:

    @tetech said:
    We don't use TensorDock for a few reasons. Mostly because the storage cost when the instance is deallocated is more expensive than Azure and eliminates any cost savings while running.

    Redo the setup with a script every time from a clean machine, which eliminates stopped storage cost.

    Running cost is more expensive than Azure spot as well (about double).

  • NubukiNubuki

    @tetech said:

    @Nubuki said:

    @tetech said:

    You haven't said how much encoding time you need, which is the key question.

    For the normal grab and encode an hour or less per video

    That's not particularly helpful without the number of videos.

    It varies on a busy day I'd say 10

    Teehee!

  • yoursunnyyoursunny OG

    @Nubuki said:
    For the normal grab and encode an hour or less per video.
    It varies on a busy day I'd say 10 videos per day.

    This means 200% CPU usage for 10 hours per day.
    $15/month isn't enough at professional providers.

    You'd better buy a $200~300 desktop (or reuse your old laptop) and host it on-premise, using your existing Internet connection.

    Accepting submissions for IPv6 less than /64 Hall of Incompetence.

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