Your video infrastructure is stuck in 2015.
The hyperscalers solved this years ago. Google built Argos — a custom video ASIC 20–33x more efficient than CPUs. Meta built MSVP. Purpose-built silicon for video at scale. None of it is for sale.
NETINT's commercial VPU opened the door. Arcadian walks you through it.
You're not running out of budget.
You're running the wrong architecture.
There is a name for what's happening to your infrastructure costs. NETINT calls it the Video Compute Trap — the point where growing video demand stops translating into efficient scale and instead turns into a rising infrastructure cost problem. A CPU dedicates 0% of its capacity to video encoding. A GPU dedicates just 15%. A VPU is 100% dedicated to video.
That's not a performance difference — it's an architectural mismatch.
The GPUs have a limited number of streams they can do concurrently, and they just suck up a lot of electricity — your regular GPU is 300 watts or 500 watts.
This isn't incremental improvement.
It's an architectural reset.
Cost data: NETINT Kenneth Robinson 320-stream analysis. Energy data: Cires21 independent benchmark, September 2025, Frankfurt (Akamai Cloud). Server reduction: Easy Tools deployment.
Full methodology insideThe technology exists.
Deploying it is the hard part.
NETINT builds the silicon. Arcadian makes it real in your environment.
A VPU deployment is not a hardware purchase. It's a systems integration project — one that requires workflow analysis, custom software development, pipeline testing against your production load, and ongoing support as your content and scale evolve.
That's what Arcadian does. We've been inside the workflows of broadcasters, streaming platforms, and media technology companies. We know where the friction lives. We design around it.
Our team holds a dedicated partner page on NETINT.com. We've been a consistent presence in the NETINT Ecosystem Pavilion — at both NAB and IBC. We have the deployment experience and the engineering depth to get VPU-native infrastructure from concept to production.
Official NETINT Integration Partner
Dedicated Arcadian page on NETINT.com
IBC 2025 NETINT Ecosystem Pavilion
Featured integration partner
Independent Benchmark Verified
Cires21: 4.2x–5.8x efficiency
NAB 2026 NETINT Ecosystem Pavilion
VPU deployment demos on-stand
Emmy Award–Winning Technology
75th Technical Emmy, Oct 2024
IBC 2026 NETINT Ecosystem Pavilion
Integration demos, NETINT booth
The results are documented.
Not estimated.
Annual OPEX savings after migrating CPU → GPU → ASIC VPU. 10,000 in → 1,000,000+ out, 24/7/365.
Internal transcoding cost after VPU deployment — low enough to offer free transcoding to all customers.
Ten CPU servers replaced by a single VPU-powered Quadra Video Server. Same output, one-tenth the footprint.
The biggest codec shift since H.264 is happening now.
AV1 at scale is a VPU problem — not a GPU problem.
17% of organizations are already running AV1 in production. 40% plan to deploy in 2026 — a 231% planned growth rate. By the end of this year, projected AV1 market reach hits 57%.
AV1 encoding on CPUs or GPUs is expensive. The compute demand is high and the efficiency is low. VPU architecture was built for exactly this transition. The NETINT Quadra T1U natively encodes AV1 Main with sub-frame latency, at 0.43–0.68 W/stream.
The organizations making their architecture decision now — while they still have time to implement — will have a structural cost advantage over those who wait until AV1 adoption forces a rushed migration.
Where does your infrastructure stand?
Talk to our teamSource: NETINT 2026 State of Video Encoding Report, n=286
From architecture design to running infrastructure.
VPU Architecture Design
Analyze your workflow and design the integration — on-prem, cloud, or hybrid.
Custom Software Integration
Connect NETINT Smart VPUs to your existing systems and pipelines.
Performance Testing & Optimization
Tested against your actual production load — not a benchmark scenario.
Ongoing Support & Maintenance
Your VPU infrastructure evolves as your content and scale change.
Your competitors are already evaluating VPUs.
For the first time, VPU evaluation intent (51.5%) is nearly tied with GPU (53.6%). The organizations moving first are building the cost structure that becomes their competitive moat.
Source: NETINT 2026 State of Video Encoding Report, n=286; Cires21 independent benchmark, September 2025.