We design purpose-built video processing hardware that delivers higher encoding density, lower power consumption, and predictable performance — built specifically for high-volume cloud and CDN video workloads.
Meet NETINT at ISE Barcelona to discuss scalable, energy-efficient AV1 and HEVC encoding designed for real-world cloud, CDN, and streaming workloads.
As video volumes grow, general-purpose compute is no longer enough. NETINT delivers dedicated video processing hardware that enables higher density, lower power consumption, and predictable performance at scale.
Leonardo Nieto
Europe Sales
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Use this link: https://netint.biz/ise-2026
Most video platforms still rely on software encoders running on general-purpose CPUs or GPUs. This approach works at small scale – but begins to fail as video traffic grows.
Modern video workloads are:
AV1 and HEVC encoding at scale pushes infrastructure to its limits, leading to:
At a certain point, optimization is no longer enough.
The problem becomes architectural.
NETINT takes a fundamentally different approach.
We design dedicated video processing ASICs built specifically for high-volume video encoding and transcoding. This enables platforms to scale video efficiently without scaling cost and power at the same rate.
AV1 encoding at production scale
HEVC and legacy codec workflows
High-density cloud and CDN deployments
Up to 10× higher performance per watt
Higher encoding density per server
Predictable, repeatable performance
Lower total cost of ownership
Reduced power and cooling requirements
By offloading video processing to dedicated silicon, platforms regain control over performance, cost, and scalability.
NETINT solutions support the workloads driving today’s video growth:
You should meet with NETINT if you are:
Designing or operating cloud video infrastructure
Scaling AV1 or HEVC workflows
Managing streaming or CDN platforms
Responsible for video performance, cost, or sustainability
If video is one of your largest infrastructure costs, this meeting will be relevant.









