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Built for a stream that never stops

A server for 24/7 encoding.

Two things decide whether a continuous broadcast works: whether the machine can encode in hardware, and whether anyone is counting the bytes leaving it. Most guides cover the first and skip the second — which is the one that shows up on the invoice.

The number nobody prints

What a continuous stream costs in bandwidth.

One output, running every second of a 30-day month. Multiply by the number of simultaneous outputs you send.

ResolutionBitrateOutbound per monthOn a 1 TB allowance
1080p608 Mbit/sYouTube recommends 4.5–9 Mbit/s2.59 TB1.59 TB over
1440p6016 Mbit/sYouTube recommends 9–18 Mbit/s5.18 TB4.18 TB over
4K6035 Mbit/sYouTube recommends 20–51 Mbit/s11.34 TB10.34 TB over

Every row is over a 1 TB monthly allowance before the first week is out. That is the arithmetic behind the advice below, and it is why the encoder is the second question.

Three ways to encode

Pick the encoder, then check the uplink.

Each of these works. They differ in what they cost you per hour of output and in what hardware they need underneath.

Intel Quick Sync

Integrated graphics on an Intel CPU — UHD 770 and newer

The cheapest way to encode continuously. One dedicated machine handles 1080p and 1440p without the CPU noticing.

It is a feature of the chip, so it only exists on a whole machine you control. No shared VPS exposes it.

NVIDIA NVENC

A GPU card — L4, A16, A40 and the rest of the line

Several simultaneous outputs, and comfortable headroom at 4K where an iGPU is at its limit.

The card is the easy part. Check what the instance includes for transfer before you check the card.

Software (libx264 / libx265)

Any machine with enough cores

Best quality per bit, and no special hardware to arrange.

It spends real CPU for every hour of output. Sustainable at 1080p on a large machine; expensive above that.

What we would recommend

Which of our machines suits which stream.

Sized from the arithmetic above rather than from what is most expensive.

1080p · 1440p

A dedicated machine with Quick Sync

An Intel CPU with integrated graphics, on a genuinely unmetered 1 Gbit/s port. The encoder is free with the chip and the bytes are not counted, so a stream that runs all month costs the same as one that runs for a day.

See the machines

Software encoding

An unmetered VPS with cores to spare

If libx264 at 1080p is enough and you would rather not manage a whole machine, the unmetered line gives you the one thing a stream cannot do without — an uplink nobody is counting — with root and a monthly price that does not move.

See the unmetered line

4K · many outputs

A GPU — with the transfer priced first

NVENC on a real card handles 4K and several simultaneous outputs comfortably. Our GPU instances include 1 TB of transfer a month and charge per gigabyte after it, so for a single continuous stream the bandwidth can cost more than the card. Talk to us before you buy one for that.

See the GPU line

Questions

What people ask before they buy one.

How much bandwidth does a 24/7 stream actually use?
At 1080p60 and 8 Mbit/s, a stream that never stops sends about 2.6 TB a month. At 1440p60 it is roughly 5.2 TB, and at 4K60 about 11.3 TB. The arithmetic is simply the bitrate held for every second of the month, and it is the number that decides which server is the right one — more often than the encoder is.
Is a GPU server the right choice for continuous streaming?
Usually not, and the reason is transfer rather than the card. GPU instances are typically sold with a small included allowance — ours includes 1 TB a month, then charges per gigabyte — while a single continuous stream spends several terabytes. At 4K the bandwidth can cost more than the server. A GPU earns its place when you are encoding many outputs at once or working above 1440p; for one continuous broadcast, a dedicated machine with an unmetered uplink is the cheaper and simpler answer.
Can I use Intel Quick Sync on a dedicated server?
Yes, on a machine whose CPU has integrated graphics. It is usually disabled in the stock Linux image rather than in firmware: the i915 module is blacklisted and the kernel boots with nomodeset. With both removed and a reboot, /dev/dri/card0 and /dev/dri/renderD128 appear and FFmpeg can use VAAPI normally. We set this up before handover on any machine bought for encoding, and send you the output of vainfo with the credentials so it is proven before you point a stream at it.
Will /dev/dri/renderD128 be available to me?
On a dedicated machine with an integrated GPU, yes — that device is the render node the encoder talks to, and it appears once the graphics driver is allowed to load. On a shared VPS it will not, because the host does not pass the integrated GPU through to guests. If your pipeline needs renderD128, you need a whole machine or a GPU instance, not a shared one.
What does 'unmetered' mean on your uplink?
That we do not count the traffic: no monthly allowance, no overage line on the invoice, and no fair-use clause that throttles a sustained outbound stream. It is not a promise of infinite speed — the port speed is the ceiling, and a 1 Gbit/s port carries about 324 TB a month if you saturate it. What it means in practice is that a stream running every hour of the month arrives at the same invoice as one that ran for a week.
Do I need a dedicated machine, or will a VPS do?
For software encoding at 1080p, a large VPS is enough, and an unmetered one keeps the bill predictable. For hardware encoding you need a whole machine: Quick Sync lives on the CPU's integrated graphics, and shared instances do not expose it. That is the real dividing line — not raw speed, but whether the encoder silicon is reachable at all.
Can I run RTMP, SRT or HLS from one of these servers?
Yes. They are ordinary Ubuntu or Debian machines with root, so nginx-rtmp, SRS, MediaMTX, OBS headless or a plain FFmpeg pipeline all run the way they do anywhere else. We do not install or manage the streaming stack for you on a self-managed server; what we make sure of is that the encoder is available and the uplink is not going to meter you.

Keep reading

The pages this one leans on.