Dedicated GPU machines that sit in the same data centers as your delivery nodes and run your encoding pipeline. We supply and operate the hardware. What runs on it stays yours.
Reply within 3 business hours. No sales sequence.
Worth saying plainly, because the two are often sold as one thing and they are not.
The machine and everything under it: GPUs, CPU, memory, NVMe, transit and the data center. We rack it, patch it, monitor it and replace it when hardware fails. On a self-managed build you get root and a node that behaves like the rest of your infrastructure. A managed build is also possible, and there the access model is written into the agreement rather than assumed.
We do not transcode your video for you, and we do not sell encoding as a service. Your ladder, your codecs, your packaging rules and your quality decisions stay in your pipeline, where they belong. Our delivery product says the same thing: Video CDN stores and serves your files exactly as you upload them.
This is custom infrastructure ordered per build. It is not a feature of Video CDN and it is not bundled with delivery.
A mezzanine file is large. Every time it crosses a vendor boundary, somebody bills for the crossing and the clock keeps running.
Encode where the output already needs to live. The rendition does not have to travel from a compute vendor to a delivery vendor before anyone can watch it.
When the encoder finishes inside the same network that will serve the file, the gap between the last frame written and the first frame delivered is a short one.
When a release is late, the compute and the delivery are on one contract with one support channel, so nobody spends the morning deciding whose incident it is.
Whatever you already use. A self-managed node with root access does not care which encoder you picked, and neither do we.
FFmpeg and the rest of the usual chain, built the way your team builds it, with the GPU flags your ladder needs.
If you have licensed software and an operations team that knows it, the node is somewhere to run it rather than a reason to change it.
Teams that have spent years tuning a pipeline rarely want a vendor’s opinion about it. Bring the container, keep the tuning.
The same class of hardware handles rendering and inference. If that is the larger half of your workload, start from GPU Servers for AI Projects instead.
NVIDIA RTX PRO 6000 Blackwell Server Edition is the card most video pipelines land on, because it handles encoding and the graphics or inference work sitting next to it on the same node.
A working ladder for a catalog that grows steadily, or a first node beside an existing pipeline.
For a back catalog being re-encoded in bulk, or live ladders running alongside on-demand work.
Larger multi-GPU configurations exist and are specified per build. GPU pricing moves with the AI market month to month, so we quote the current rate rather than print one that goes stale. The full line sits on Custom Enterprise CDN Infrastructure.
The renditions your node produces have to live somewhere and then reach viewers. Both of those steps are priced openly, so you can add them up before you talk to us.
Your pipeline finishes a rendition on local NVMe. Nothing has left the building yet, and nothing has been billed for movement.
Cloud Storage runs at $0.015 per GB. If the file should stay resident in the network instead, permanent cache is $0.02 per GB with the first 500 GB included.
Delivery runs on the standard tiers, $5.00 down to $2.50 per TB. A month of 100 TB comes to $415. See pricing.
Only the node itself is quoted per build. Everything downstream of it is on the published price list, which is the part most compute vendors leave for you to discover on the invoice.
Two different products that people ask for with the same sentence. They solve opposite halves of the job.
Your problem is making the renditions. Encoding is slow, or it costs too much, or the output has too far to travel before anyone can watch it. Custom infrastructure, quoted per build.
Your renditions already exist and your problem is serving them. Files replicate inside the network and are delivered on the standard tiers, untouched. See Video CDN.
Plenty of teams end up with both, and then the two sit in the same data centers by design. Related: Infrastructure for Streaming.
The six questions that come up on every scoping call about processing hardware.
On a self-managed build, you do. We hand over a node with root access and a working network. The software, the licenses and the pipeline are yours, which is also why we do not charge you for them.
That depends on your ladder, your codec and your preset, and any number quoted without those three is marketing. Bring your ladder to the call and we size against it.
A fixed monthly figure, quoted per build, following the GPU count, the CPU, the memory and the term. GPU pricing moves with the AI market, so we quote the current rate instead of publishing a stale one.
The processing nodes sit in the same data centers as delivery nodes, so the output does not cross a vendor boundary to get into the network. Figures for your specific locations come with the quote.
Set per build, because it follows the hardware and the data center commitment behind it. Whatever it turns out to be, it is in the quote before anything is ordered.
Often, yes, and we will say so. The case for a node here is that the output lands next to the network that serves it. If your renditions are small or infrequent, that adjacency is not worth paying for.
Tell us what your pipeline does and how much of it there is. You get a reply within 3 business hours, from an engineer who will say if a general cloud instance would serve you just as well.
He reads every request sent from this page and replies within 3 business hours, including the reply that says a general cloud instance would serve you just as well. No sales sequence in between.
BlazingCDN supplies and operates dedicated GPU servers for your video encoding pipeline, placed in the same data centers as its delivery nodes. BlazingCDN provides the hardware, transit and monitoring; your team keeps the encoder, the ladder and the codecs. Each node is quoted per build, while storage and delivery of the output use published prices.
BlazingCDN quotes each GPU processing node per build as a fixed monthly figure, while delivering 100 TB of the output costs $415 on the published tiers (as of October 2026). The node price follows GPU count, CPU, memory and term. GPU pricing moves with the AI market month to month, so the current rate goes into the quote instead of onto the page.
Everything downstream of the node is published. Cloud Storage costs $0.015 per GB per month. Permanent cache on Video CDN costs $0.02 per GB per month after the first 500 GB. Delivery runs from $5 down to $2.50 per TB. For example, a team keeping 3,000 GB of renditions in permanent cache pays $50 a month for that storage, plus delivery. The minimum term is set per build and written into the quote before anything is ordered.
No, BlazingCDN does not transcode video or sell encoding as a service: the processing server is hardware, and the pipeline running on it stays yours. BlazingCDN supplies GPUs, CPU, memory, NVMe storage, transit and the data center. BlazingCDN engineers rack, patch and monitor the node and replace failed hardware. On a self-managed build, your team gets root access.
Your ladder, codecs, packaging rules and quality decisions stay in your pipeline. FFmpeg, a licensed commercial encoder or your own container all run the same way. The servers are custom infrastructure ordered per build, not a feature of Video CDN and not bundled with delivery. Video CDN itself stores and serves files exactly as uploaded. For example, a team re-encoding a back catalog on a 2 GPU node brings its own FFmpeg build with the GPU flags its ladder needs. A managed build is also possible, with access written into the agreement.
Often not, and BlazingCDN says so: a general cloud instance handles small or infrequent renditions just as well, and an engineer will tell you within 3 business hours. The case for a BlazingCDN node is adjacency. The node sits in the same data center as the delivery nodes, so output does not cross a vendor boundary before viewers can watch it.
A mezzanine file is large, and every crossing between a compute vendor and a delivery vendor adds an egress bill and waiting time. A node next to delivery removes that hop and puts compute and delivery on one contract with one support channel. For example, a platform re-encoding a large back catalog in bulk gains the most, while a team encoding a few short clips a week gains little. The same class of hardware also handles rendering and inference, if that becomes the larger share of the workload.
BlazingCDN processing nodes use the NVIDIA RTX PRO 6000 Blackwell Server Edition, in a 2U server with 2 GPUs or a 4U server with 4 GPUs. The 2U configuration has 32 CPU cores, 512 GB of memory, 7.6 TB of NVMe storage and a 10GbE network. The 4U configuration has 144 CPU cores across two sockets and 1 TB of memory.
The RTX PRO 6000 handles encoding plus the graphics or inference work that sits next to it on the same node. The 2U fits a catalog that grows steadily, or a first node beside an existing pipeline. The 4U fits bulk re-encoding of a back catalog, or live ladders running alongside on-demand work. Larger multi-GPU configurations are specified per build. For example, a team trying GPU encoding for the first time can start with one 2U node. Every configuration is quoted at the current GPU market rate.
BlazingCDN does not publish a streams-per-node figure, because the answer depends on three inputs: your ladder, your codec and your preset. Any number quoted without those three is marketing. Bring the ladder to the scoping call, and an engineer sizes the node against it, starting from the 2 GPU or 4 GPU configuration.
Setup on a self-managed build is direct. BlazingCDN hands over a node with root access and a working network. Your team installs and licenses the encoder, so BlazingCDN does not charge for software. Output is written to local NVMe first, then stored or delivered. For example, renditions moved into Cloud Storage cost $0.015 per GB per month (as of October 2026), and Video CDN serves them on the standard tiers. Figures for the hop from node to edge at your specific locations come with the quote. Scoping replies arrive within 3 business hours.