Video encoding has traditionally been judged by codecs, bitrate ladders, presets, and quality at a given bitrate, but at scale those choices no longer explain the full cost or scalability of a platform.
v 19, Mark Donnigan joins "Four Companies, Four Decisions," a Media Climate Accord industry panel at Inter BEE 2026.
Learn about the panel:
netint.biz/4yZAVK0
#SustainableMedia #InterBEE2026
The article also looks at the caveats.
LCEVC does not win under every metric, content type, or operating point. Testing with your own content still matters.
Video platforms pay twice for scale: compute to create the stream and bandwidth to deliver it.
NETINT VPUs and MPEG-5 LCEVC address different sides of that equation.
See how the architecture works:
netint.biz/4r9Q746
#LCEVC #VPU #VideoInfrastructure
The video stack is changing in more than one place at once.
This year’s survey maps five of them:
→ AV1, VVC and AV2
→ Hardware acceleration
→ AI in video workflows
→ Cost per channel
→ Production priorities
What comes next depends on what teams actually deploy. Your answers help capture that.
👉 netint.biz/4dyhVJY
#VideoEncoding #VideoInfrastructure #AV1 #VPU
Most encoding roadmaps are built on assumptions. We’d rather build on answers.
The 2027 State of Video Encoding Survey is open.
It covers codecs (AV1, VVC, AV2), hardware acceleration, AI in video workflows and cost per channel: what you run today and what changes next year.
About 10 minutes. Everyone who completes it can:
→ get the 2027 report before public release
→ enter a drawing for one of ten NETINT VPUs
👉 netint.biz/4jUMc9B
#VideoInfrastructure #VideoEncoding #Streaming #AV1
The right comparison is not just peak throughput.
Look at quality, density, integration effort, operating cost, and sustained production performance.
GPU and VPU evaluation intent is now nearly even: 53.6% vs. 51.5%.
That makes one thing clear: video teams are looking more closely at which architecture fits each workload.
Listen to the episode:
👉netint.biz/4AdYCPN
#VideoInfrastructure #VPU
During the 2026 World Cup, Zapping's CDN exceeded 2 Tbps of consolidated traffic.
At that scale, encoding efficiency and infrastructure placement become part of the same problem.
For live soccer, latency is something viewers can hear.
Zapping built its encoding and CDN architecture to stay within a few seconds of free-to-air, and sometimes ahead of it.
Explore the case study:
netint.biz/46f9PBU
#LiveStreaming #OTT #VPU
One of the guide’s most important caveats: content dependence is real.
Use published data to narrow the options. Validate the final choice against your own content and workload.
Benchmark numbers need context.
Latency, throughput, quality, host CPU load, power, concurrent sessions, and content type can all change an encoder decision.
Our 2026 VPU Buyer’s Guide puts the engineering data in one place:
netint.biz/4A5NxjA
#VideoEngineering #VPU #Encoding
Is the hyperscaler still the right fit for every video workload?
Ray Panahon of netint.biz/3T4tSQu joins Voices of Video to discuss cloud economics, repatriation, private and hybrid cloud, low latency, Kubernetes, and data sovereignty.
Watch:
netint.biz/4yCMwxV
#VoicesOfVideo #PrivateCloud
A cloud comparison should use the same codec, ladder, quality target, and workload.
Then compare cost per output stream, not hourly VM price.
That is the framework behind this 30-day side-by-side test:
👉 netint.biz/4A3H8pb
#VideoEncoding #CloudVideo
Brazil’s DTV Plus rollout is creating real device support for LCEVC.
Fabio Murra of V-Nova joins Voices of Video to discuss TV 3.0, receiver support, 4Kp60 HDR under 10 Mbps, and broader adoption.
Watch on demand: netint.com/research/video/br…
#VoicesOfVideo #LCEVC
The goal isn't faster encoding.
The goal is keeping the workflow simple, reliable, and efficient.
Discover how Wowza and NETINT approach practical streaming infrastructure.
👉 netint.biz/4dauOcH
#Streaming #Wowza #VPU
The VPU benchmark looks great. Then production starts.
Joe Waltzer of Arcadian joins Voices of Video to discuss cloud vs. on-prem, observability, workflow integration, operational AI, and the edge cases behind VPU deployment at scale.
Watch on demand: netint.biz/4is9mUa
#VoicesOfVideo #VPU













