Pixop is proud to share that we’ve completed a 24/7 live trial with Chilevisión, one of Chile’s leading broadcasters — showcasing the power of AI-based HD (SDR) to UHD (HDR) conversion running in real time.

This trial, conducted in the cloud using a NVIDIA GPU server, represents a significant step forward for live video enhancement. It proves that broadcasters can adopt next-gen AI workflows without overhauling existing HD infrastructure — achieving UHD HDR output from a standard HD SDR signal.

A Real-World Test of AI at Scale

Pixop’s live video stream conversion technology applies a unified AI pipeline — including deinterlacing, deep restoration, upscaling, SDR-to-HDR conversion, and frame rate adjustment — to deliver a fully enhanced UHD HDR output.

As Thierry Fautier highlighted in his coverage:

“Pixop delivers both HD-to-UHD and SDR-to-HDR under one unified, live-capable solution, on-premises, using NVIDIA GPUs. And it works!”

While the trial was executed in the cloud, Pixop’s solution is designed for deployment flexibility — it can run in the cloud, on-premises, or in your own environment. The result: real-time performance, ultra-low latency (600ms), and uncompromising quality.

Industry Coverage: As Seen in Décode

We invited media tech analyst Ben Schwarz to cover this milestone, and we’re pleased that his article was picked up by Décode, a platform dedicated to media innovation:

“This is one of the first real-world use cases where AI-powered live video enhancement is being tested in continuous operation — with cloud flexibility and real broadcaster requirements in mind.”

Pixop CEO Morten Kolle Christensen added:

“Great to see Chilevisión and Jorge Cabello recognize the potential of AI in live UHD workflows. Proud that Pixop’s tech is playing a role in their journey toward efficient HD (SDR) to UHD (HDR) conversion — with real results, in real time.”

Interested in Testing Pixop LIVE?

We’re actively engaging with broadcasters and technology vendors to bring Pixop LIVE to more real-world environments.
If you're curious how it could work in your live workflow, we’d love to talk.

Book a Demo →
Read the full article on Décode →

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