Performance per watt is becoming the limiting factor for modern infrastructure.
As AI consumes more data center power, video platforms need more efficient ways to encode and deliver content. Hardware video encoding enables higher throughput without expanding power budgets.
More context here:
๐ https://t.co/3nnyBXKdFB
#PerformancePerWatt #HardwareVideoEncoding #DataCenters
AV1 reduces bandwidth.
It also increases encoding complexity.
That is why the conversation is shifting from codecs to infrastructure.
Purpose-built VPUs help scale AV1 with better density and lower power.
Read more:
๐ https://t.co/dp3vY7bDpG
#AV1#VideoEncoding#Streaming
Hyperscalers built custom video ASICs for themselves.
The open market needed a merchant version.
That is how the VPU category took shape.
Full story:
https://t.co/lLC19Dz1Zm
#VideoInfrastructure#ASIC
The C-band transition didn't create a networking problem.
It created a video infrastructure challenge.
Here's why encoding economics matter just as much as routing.
๐ https://t.co/U59ACHBvvf
#Broadcast#IPVideo#EdgeComputing
What if video teams could access the performance and efficiency of dedicated VPU hardware without building their own data center infrastructure or waiting for a hyperscaler to support specialized encoding hardware?โจ https://t.co/4LJ7Y5doQW
Weโre excited to share that the Quadra Mini Server has been nominated in two categories at the BroadcastPro ME Manufacturer Awards 2026!๐
This one means a lot. It reflects the work, the vision, and the shift weโre helping drive in video infrastructure.
If youโd like to show your support, voting takes less than a minute ๐
https://t.co/ba8coRAAaS
#VideoInfrastructure #Streaming #Encoding #NETINT
Cloud solved flexibility for video.
It did not fully solve efficiency.
VPU-as-a-Service introduces purpose-built video silicon into the cloud deployment model.
Full article:
https://t.co/dfVZKh2ztY
#VPU#StreamingTech
Most teams donโt realize how much theyโre overpaying for video transcoding until they scale.
Costs donโt just increase. They compound across compute, energy, and egress.
Thatโs where the model breaks.
Read the full analysis: https://t.co/qnTeUADagp
#AWSSanityCheck #AWSTCOAnalysis #ReduceCloudCosts #TranscodingCosts #VPUsBenefits
Is VPU as a Service the future of cloud transcoding?
Join NETINT and NetActuate to explore how teams are deploying VPU-powered infrastructure with more performance, flexibility, and control than traditional cloud.
๐ June 18
๐ 11:00 AM ET | 8:00 AM PT | 17:00 CEST
Register: https://t.co/Iof3IdhaGA
#VideoInfrastructure #Streaming #Cloud #VPU
From the 2026 State of Video Encoding report:
โ 41% already deploy mixed GPU + VPU stacks โ Power consumption is the #1 GPU complaint (39%) โ 42% are planning edge encoding deployments โ 70% expanding AI in encoding workflows
Free download: https://t.co/ftOqhGq4gP
GPU or VPU?
In 2026: 53.6% evaluating GPUs. 51.5% evaluating VPUs.
That gap has never been smaller. The default hardware era is ending.
What's driving the shift and what it means for your stack: https://t.co/30C2wBiiV4
#VideoEncoding#StreamingInfrastructure#NETINT
Video encoding is no longer a side workload on general-purpose compute.
It is its own silicon category.
Here is how the VPU emerged.
๐ https://t.co/OUON5q0Lsx
#VPU#StreamingTech