Key application
CDN, vCDN and Edge Delivery
Cache, origin, and transcode platforms for content delivery networks - sized in gigabits per node and cache hit ratio, not just cores.
Key application
Media, Content Delivery, and CDN
Content delivery infrastructure is measured in gigabits per rack unit and cache hit ratio. An edge node that cannot saturate its uplink wastes the most expensive thing in the design - the transit and the rack space - so cache media, NIC placement, and CPU have to be balanced deliberately.
NTS builds the full delivery stack: dense NVMe edge cache nodes, high-capacity origin and mid-tier storage, and GPU-accelerated transcode platforms for adaptive bitrate ladders. Nodes are imaged identically for fleet deployment, throughput-verified during burn-in, and can ship rack-integrated from Fremont, CA.
Use this application hub to map workloads to NTS platforms—GPU servers, storage tiers, and rack integration—with Fremont staging and contract-ready quoting when required.
Each card links to deeper catalog or solution paths. Request an architecture review if you need CLIN structure, lead times, or a dual-vendor GPU comparison.
Workload path
From application intent to validated BOM
Application hubs connect mission use cases to engineer-to-order systems.
Start with the cards below to explore related platforms and capabilities. NTS sizes CPU, accelerator, memory, storage, and fabric together so power, cooling, and drivers match the workload—not orphan SKUs.
Federal and SLED buyers can carry the same architecture onto approved vehicles. Commercial teams get the same staging discipline without the GWAC paperwork when it is not required.
Workloads on this page
Content delivery applications
The catalog code that maps to this page, plus the adjacent delivery capabilities NTS builds alongside it.
- Gigabits per node targets
- Cache hit ratio planning
- Origin to edge topology
- Dense NVMe cache tiers
- Multi-100GbE uplinks
- Short-depth POP-friendly chassis
- Hardware encode density
- Live and VOD ladders
- Channels per node modeling
- Large catalog capacity
- Mid-tier offload for origin
- Sustained read bandwidth
Frequently asked questions
By the gigabits it must serve and the working set it must hold. NTS matches NVMe cache capacity to your hot content, sizes NIC count and PCIe lanes to the target throughput, and picks a CPU that can handle TLS and request rate without becoming the bottleneck.
- Target gigabits per node drives NIC and lane budget
- Cache capacity sized to the hot working set
- TLS and request-rate headroom on the CPU
Enough to hold the working set that produces your target hit ratio. Adding cache past that point buys very little, while too little cache pushes traffic back to origin and inflates transit cost. NTS models the curve using your catalog size and request distribution.
- Hit ratio modeled from request distribution
- Cache sized to the knee of the curve
- Origin offload and transit cost included
For high channel counts, usually yes. Hardware encoders deliver far more simultaneous streams per rack unit and per watt than CPU encoding. NTS models channels per node for your ladder and codec mix, and quotes CPU-only when quality requirements demand it.
- Channels per node modeled per codec
- Hardware encode for density and efficiency
- CPU encode where quality demands it
One documented node recipe with locked part numbers, firmware levels, and images. Every POP node is built and burned in against the same baseline, so automation behaves identically and reorders across contract years stay consistent.
- Locked node recipe and firmware baseline
- Identical images across POPs
- Consistent reorders and spares
