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MainConcept and NETINT Bring VPU Acceleration to Easy Video API
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Mainconcept Logo Color Rgb Netint Logo Color Eva With Netint Quadra Vpu T1a Front Hero
SAN DIEGO & VANCOUVER, British Columbia - ncarol.com -- MainConcept, the global leader in video and audio codec software solutions, and NETINT, a leader in ASIC-based video processing solutions, today announced a collaboration to bring NETINT Video Processing Units (VPUs) to the MainConcept Easy Video API (EVA). The integration extends EVA's unified API to include dedicated VPU acceleration alongside existing GPU and software-based workflows.

MainConcept EVA provides a unified API to control both hardware and software codecs through a single interface. It enables faster integration, reduced development effort, and flexible deployment across diverse infrastructures. EVA supports GPUs from AMD, Intel, NVIDIA, and Qualcomm, and now extends to NETINT VPU-based encoding and decoding capabilities.

NETINT VPUs are purpose-built ASIC-based video processing units designed for high-density, energy-efficient video transcoding in data center environments. With this integration, MainConcept AVC/H.264, HEVC/H.265, and AV1 libraries support hardware-accelerated encoding on NETINT VPUs, with AVC/H.264 and HEVC/H.265 decoding also supported.

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Unlike GPUs, which are general-purpose parallel processors, VPUs are dedicated to video workloads, enabling higher stream density, improved power efficiency, and predictable performance per stream. With NETINT support, EVA customers gain additional deployment options for large-scale streaming, OTT, and cloud transcoding applications.

"MainConcept's decision to bring NETINT VPU support into the Easy Video API is a milestone for the video infrastructure ecosystem. As stream counts grow and energy costs rise, operators need higher density and better power efficiency than general-purpose hardware can deliver," commented Mark Donnigan, CMO at NETINT. "When a technology partner with MainConcept's track record makes VPUs a first-class citizen alongside GPUs, customers gain a seamless on-ramp to dedicated hardware video processing without custom integration and forklift upgrades. This is a win for the video ecosystem and platforms needing to scale."

"Video workflows today run across a growing mix of hardware platforms, and customers need flexibility without added engineering burden," said Deacon Johnson, President and CEO of MainConcept. "With EVA, we remove the complexity of hardware acceleration across GPUs and now VPUs, while maintaining performance parity with native implementations. The addition of NETINT support validates our approach of delivering professional codecs through a unified, scalable API."

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MainConcept and NETINT will exhibit at the NAB Show 2026. Visit MainConcept at booth W1343 and NETINT at booth W2713. MainConcept codecs and technologies are available for free trial at mainconcept.com/free-trial. For more information on NETINT, visit www.netint.com.

###
About MainConcept
Since 1993, MainConcept has provided best-of-breed video and audio codec solutions that fuel creativity and business globally for professional video production, broadcast, medical, surveillance and more. The company's software development kits and plugins are designed to meet an ever-expanding list of use cases. MainConcept codecs are used by the likes of Adobe, AVID, Autodesk, Corel, Dalet, Grass Valley, Nikon, PlayBox Neo, Ross, Sony, Techex, Telestream, and Wowza.

About NETINT
NETINT Technologies is the 2024 Tech Emmy Award Winner for "Design & Deployment of Efficient Hardware Video Accelerators for Cloud" and founder of the VPU (Video Processing Unit) category. With more than 200,000 units in production that have encoded over 1 trillion minutes of video, the world's largest streaming services and video platforms use NETINT VPUs to achieve up to a 20x reduction in energy and OPEX. NETINT is shaping the future of hyperscale video encoding and processing. Learn more at netint.com.

Contact
Geoff Gordon, Vice President, Marketing
***@mainconcept.com


Source: MainConcept

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