Private nodes, dedicated cache and GPU servers: designed, deployed and operated by our engineers. For teams whose delivery problem a shared CDN no longer solves.
Reply within 3 business hours. No sales sequence.
The trigger is the job, not the traffic volume. If one of these describes your case, a custom build usually pays for itself.
GDPR, sector regulation or a contract that names exactly where your bytes may be cached. Shared platforms rarely put that in writing.
Custom headers, auth, tokenisation or routing rules that a shared platform will not run on your behalf.
Game launches, software releases and live events: a known date, an unknown ceiling. Dedicated nodes hold the spike.
Hybrid setup: the incumbent stays where it works, private nodes go where it does not.
Encode, transcode and deliver from the same infrastructure instead of paying egress between three vendors.
Above a certain volume, dedicated hardware typically beats per-TB list pricing, including ours.
None of these apply to you? Then our standard CDN is cheaper and faster to start: 100 TB costs $415 a month on the public tiers. See pricing.
Same origin, same audience. The only thing that changes is the middle layer, and that is the whole decision.
everyone’s traffic
Cheapest to start. You get the platform’s regions, the platform’s rules and the platform’s neighbours.
your traffic only
You pick the locations, the configuration and who shares the hardware with you. Nobody does.
Keep the incumbent where it works. Put private nodes only where it does not. Most builds start here.
You get a recommendation back, including the recommendation to stay on the standard tiers.
Pick the hardware line you need, then decide who operates it. Both modes run on the same network.
We design the architecture, deploy the nodes, then monitor, patch and scale them. You get capacity, dashboards and an availability commitment written into your agreement rather than assumed from a badge. Support hours are set there too.
Choose this when your team should own the product, not the racks.
We deliver the servers, the network and the transit. Your team keeps root access and full control over configuration, software and release process. What we cover is what we operate: the network and the transit.
Choose this when you already run infrastructure and need capacity in the right places.
A delivery network that carries your name and your rules.
Cache capacity placed where your audience and your regulator are.
Processing and origin capacity sitting next to the delivery layer.
A separate product line. NVIDIA GPUs for inference, training and video processing, from Blackwell-class server cards down to fanless edge modules, in the same data centres as your delivery nodes, so processing and delivery sit on one infrastructure.
Agent-flow inference, video encoding and graphics workloads. The entry point for teams putting a first model into production.
Multi-tenant inference at PaaS scale, plus rendering and scientific computing on the same node.
Large model training and high-concurrency inference. Which variant you take is usually settled by storage rather than by the CPU: 960 GB against 61.4 TB.
Real-time inference next to your audience rather than in a distant region. Deploys into the same locations as your cache nodes.
Why we do not publish GPU prices. The AI market moves hardware pricing month to month. A number printed here would be wrong by the time you read it, so we quote the current rate when you ask, and that rate is what you pay.
A fifth build sits beside these: 5U, two NVIDIA RTX PRO 6000 Blackwell cards, 64 CPU cores across two sockets, 1.5 TB of memory and 960 GB of flash. That 960 GB is worth noticing next to the 7.6 TB on the 2U and 4U. Every configuration is built to order: GPU count, CPU, memory and NVMe are specified per build. Storage and delivery for processed output run on the standard CDN tiers. More detail on GPU Cloud Servers and GPU Servers for AI Projects.
An engineer maps your traffic profile, regions, compliance constraints and peak pattern. No slide deck.
Architecture, hardware list, locations and fixed commercial terms, in writing, before anything is ordered.
Nodes go live while your current setup keeps running. You compare both on real traffic before you move anything that matters.
Managed mode: monitoring, capacity planning and 24/7 support. Self-managed mode: root access, documentation and a handover call.
Custom infrastructure is the last step of the same ladder, not a separate price list.
Public progressive tiers, $5.00 down to $2.50 per TB. 100 TB works out to $415 a month.
A personal quote below the list tiers. A quote never raises the published price.
Above 500 TB a month: discounts up to 60%, flexible terms, dedicated 24/7 support, EU invoicing from Poland. Custom rates start from 100 TB a month.
Dedicated hardware, priced per build: a fixed monthly figure for the nodes you own, plus delivery on your agreed tier.
Full public tiers and the 100 TB worked example live on the pricing page. Current network numbers are published on performance metrics.
100 TB a month, $415
500 TB a month, $1,815
1000 TB a month, $3,315
1500 TB a month, $4,565
You pay for delivered traffic only. No fixed cost, no commitment, no hardware to plan around.
A fixed monthly figure per node, plus delivery on your agreed tier.
That figure follows the hardware, the locations and the term, which is why it is quoted per build instead of printed here. What it buys you is a cost that stops climbing with every extra terabyte.
Where the two lines cross is different for every traffic profile: how much of the volume is cacheable, how many regions you actually need, how peaky the load is. We run that arithmetic with your real numbers on the scoping call, and if it does not favour dedicated hardware, we say so.
Custom builds are quoted individually, so the honest answer to most of these starts with: it depends. Here is what it depends on.
Most start hybrid. Your current CDN stays where it performs, and private nodes go into the two or three regions where it does not. The smallest useful build is usually a single region.
Agreed per build. The common arrangement is that we own and operate the nodes while you get capacity, dashboards and our monitoring. Self-managed builds are structured differently, and the terms are written into the quote.
Set per build, because it follows the hardware and the data centre commitment behind it. Whatever it turns out to be, it is in the quote before anything is ordered.
It follows hardware availability and the data centre. We give you a date with the quote rather than a marketing number on a web page.
No, and we would advise against it. Nodes go live while your current setup keeps running, so you compare both on real traffic before moving anything that matters.
Capacity is added node by node. Overflow keeps running on the standard progressive tiers meanwhile, so a spike never has to wait for hardware to arrive.
Your origin never moves and your content is never locked into a proprietary format. You point traffic elsewhere and the nodes wind down on the agreed term.
The network and the transit we operate. Your configuration, your software and your release process stay yours, and so does responsibility for them.
Tell us the shape of the workload. You get a reply within 3 business hours, with either an architecture sketch or an honest answer that our standard CDN is the better fit.
He reads every request sent from this page and replies within 3 business hours, including the reply that says your case does not need custom infrastructure. No sales sequence in between.
Your details stay with the engineering team.
BlazingCDN designs, deploys and operates custom CDN infrastructure: private CDN networks, dedicated cache servers, video processing servers and NVIDIA GPU nodes. Each build is scoped with an engineer and priced per build as a fixed monthly figure per node, plus delivery on an agreed tier. An engineer replies to scoping requests within 3 business hours.
BlazingCDN prices custom infrastructure per build: a fixed monthly figure per node, plus delivery on an agreed tier, so no list price exists for servers. The figure follows the hardware, the locations and the term, and the quote arrives in writing before anything is ordered. For reference, 1,000 TB a month on the public shared tiers costs $3,315 (as of October 2026).
Dedicated hardware is worth considering when that per TB curve stops improving for a given traffic profile. The crossover depends on how much volume is cacheable, how many regions are needed and how peaky the load is. An engineer runs that arithmetic with real numbers on a 30 minute scoping call. If the shared tiers come out cheaper, BlazingCDN says so in writing. Overflow above node capacity keeps running on the standard progressive tiers, so a spike never waits for new hardware to arrive.
BlazingCDN delivers a private CDN in four steps, starting with a 30 minute scoping call with an engineer. The call maps traffic profile, regions, compliance constraints and peak pattern. Next comes a written design and quote: architecture, hardware list, locations and fixed commercial terms, all before anything is ordered.
In the third step, nodes go live in parallel while the current setup keeps running, so both can be compared on real traffic. The fourth step depends on the operating mode. In managed mode, BlazingCDN monitors, patches and scales the nodes and provides 24/7 support, with the availability commitment written into the agreement. In self-managed mode, BlazingCDN delivers servers, network and transit, and the customer keeps root access to configuration and software. For example, a team with its own SRE group usually picks self-managed, while a product team without racks usually picks managed.
BlazingCDN usually recommends the standard shared CDN for a plain 100 TB workload, because 100 TB costs $415 a month on the public tiers (as of October 2026) with no hardware to plan. The trigger for a custom build is the job, not the volume. Six cases justify dedicated nodes: data that must stay in one jurisdiction, custom logic at the edge, scheduled peaks that break shared capacity, a hybrid layer next to an incumbent CDN, video processing next to delivery, and a cost curve that stopped improving.
If none of those apply, a private build adds fixed cost without benefit. For example, a software vendor shipping installers with no residency clause gets more value from the shared Anycast CDN and its 14-day testing period. The scoping request form returns either an architecture sketch or an honest no, and that reply arrives within 3 business hours.
BlazingCDN builds most custom projects as hybrid setups, so the incumbent CDN keeps the regions where it performs and private nodes go only where it does not. The smallest useful first build is usually a single region. A typical start covers two or three regions where the current provider is weak.
Nodes go live while the existing setup keeps running, so both are compared on real traffic before anything important moves. Moving everything at once is not advised. Capacity grows node by node, and overflow runs on the standard progressive tiers in the meantime. Exit is simple by design: the origin never moves and content is never locked into a proprietary format. For example, a team leaving later points traffic elsewhere, and the nodes wind down on the agreed term. Minimum term and hardware ownership are set per build and written into the quote before any order.
BlazingCDN offers NVIDIA GPU servers as a separate product line, from a 2U server with two RTX PRO 6000 Blackwell cards to an 8U HGX B300 8-GPU baseboard. The 2U build pairs two GPUs with 32 CPU cores, 512 GB memory, 7.6 TB NVMe and a 10GbE network. The 4U build carries four RTX PRO 6000 Blackwell cards, 144 CPU cores and 1 TB memory for multi-tenant inference.
The 8U build offers 128 CPU cores, 2 TB memory on Xeon 6 or 3 TB on EPYC, and 960 GB flash or 61.4 TB NVMe on a 400GbE or XDR800 fabric. For edge inference, a fanless NVIDIA Jetson Orin NX node with 16 GB memory deploys next to cache nodes. GPU prices are not published, because hardware pricing moves month to month. BlazingCDN quotes the current rate on request, and that rate is what the customer pays.