NETINT Technologies is a developer of intelligent silicon solutions for Computational Storage and Video Processing

Joined October 2018
1,008 Photos and videos
Most teams don’t realize how much they’re overpaying for video transcoding until they scale. Costs don’t just increase. They compound across compute, energy, and egress. That’s where the model breaks. Read the full analysis: netint.biz/4erpPW4 #AWSSanityCheck #AWSTCOAnalysis #ReduceCloudCosts #TranscodingCosts #VPUsBenefits
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Egress alone can be up to 18x more expensive depending on architecture. That’s where the model really starts to break.
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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. 📅 June 18 🕚 11:00 AM ET | 8:00 AM PT | 17:00 CEST Register: netint.biz/4uo9cj1 #VideoInfrastructure #Streaming #Cloud #VPU
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We’ll cover how VPU as a Service enables more control over deployment, infrastructure, and scaling without relying on traditional cloud models.
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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: netint.biz/4txt8Qh #VideoEncoding #StreamingInfrastructure #NETINT
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From the 2026 State of Video Encoding report: → 41% already deploy mixed GPU VPU stacks → Power consumption is the #1 GPU complaint (39%) → 42% are planning edge encoding deployments → 70% expanding AI in encoding workflows Free download: netint.biz/streaming-trends
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Video encoding is no longer a side workload on general-purpose compute. It is its own silicon category. Here is how the VPU emerged. 👉 netint.biz/4tD3IAs #VPU #StreamingTech
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When video became the substrate of the internet, infrastructure had to adapt.
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Most teams think they have an efficiency problem. It’s usually a system design problem. We’re getting into that in Stockholm. 👉Register here netint.biz/3QBTFxS
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Most teams think they have an efficiency problem. It’s usually a system design problem. That’s exactly what we’re getting into in this session.
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For years, improving video quality meant one thing: Wait for the next codec. Rebuild infrastructure Wait for device support Repeat the cycle What’s interesting now is that this model is starting to break Technologies like MPEG-5 LCEVC don’t replace codecs they enhance what already exists Which means: • Up to ~40% bitrate savings • Faster encoding • No full infrastructure rebuild And maybe more importantly no waiting years to see the benefits We’re starting to see a different path emerge 👉 See more in the comments #VideoInfrastructure #StreamingTech #AV1 #VideoEncoding #MediaTech
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Encoding starts as a pipeline. At scale, it behaves like a system. That’s where things get messy. Stockholm session on what actually changes: 👉 netint.biz/4ed2nMK
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Adding capacity should not mean adding racks. There are more efficient ways to scale video. 👉 netint.biz/4mEjV6A
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Are you scaling for capacity or density?
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Encoding costs aren’t random. They’re just rarely broken down. This session looks at where that cost actually comes from 👉 netint.biz/4uoUyZj
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More streams should not mean more cost. If your pipeline scales linearly, there is another way. 👉 netint.biz/4dVnSkZ
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Are you optimizing your current setup or rethinking it entirely?
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