NETINT deploys video transcoding technology in the Nimbix Cloud

Nimbix is a provider of purpose-built cloud computing for Video Processing, HPC, Simulation, Machine Learning, and Deep Learning applications. Nimbix's advanced Cloud platform, JARVICE, supports private, public and hybrid Cloud models spanning multiple regions and data centres.

Now deployed on Nimbix is NETINT's Codensity video processing technology featuring low-latency, real-time, high-quality, scalable transcoding for video streaming. NETINT's Codensity T408 transcoder enables operational benefits for both cloud compute providers and their customers.

Content Distributors have embraced Cloud computing platforms due to the flexibility they offer. Cloud compute platforms such as Nimbix offer Content Distributors a means to rapidly spin up compute resources as required to meet immediate processing needs.

NETINT's Codensity technology increases compute density for video encoding applications. This increase in density expands the number of channels that can be encoded in a data centre without increasing the server footprint size and is accompanied by savings in both power and facility HVAC costs, effectively reducing operational expenses and total cost of ownership. The T408's U.2 module form factor enables them to be easily installed into existing servers, creating a simple upgrade path for data centre operators.

Content Distributors have embraced Cloud computing platforms due to the operational flexibility they provide. The Nimbix Cloud offers Content Distributors a means to rapidly deploy accelerated compute resources as required to meet immediate processing requirements. In addition, Codensity enabled compute nodes feature unique capabilities that are optimized for video encoding applications including real-time, low latency encoding making NETINT’s technology ideal for applications including Cloud gaming and live streaming.

NETINT's Codensity encoding technology features best-in-class image quality when compared to other software and hardware-based encoding solutions. This high-quality encoding allows Content Distributors to utilize Nimbix's Cloud-based encoding platform in a broader range of applications, including Cloud-gaming, AI acceleration, social mobile video, surveillance, video conferencing, live streaming, OTT/IPTV and AR/VR.

Furthermore, Codensity encoding technology is compatible with FFmpeg, an open-source suite of video processing tools. This enables Content Distributors to easily and quickly integrate Nimbix' Codensity compute platform into their existing encoding infrastructure.

As the demand for streaming content continues to grow, support for new emerging technologies including HDR10+ and 8K becomes critical. Codensity's support for both HDR10+ and 8K ensures Content Distributors who are utilizing Nimbix' compute platform are future proofed as these technologies gain traction in the marketplace.

"Cloud computing continues to gain traction in the marketplace due to its end-user advantages including increased agility and operational flexibility through scalable access to cloud-based compute resources", stated Steve Hebert, Chief Executive Officer, Nimbix. "With the explosive growth of streaming video, content distributors have increasingly utilized cloud-based video encoding as a cost-effective means of meeting increased demand. NETINT's Codensity video encoding technology, with its real time, low latency, high-quality encoding has given customers an option to simultaneously scale video processing capacity and lower their total cost of ownership."

"With streaming video set to be the dominant form of internet traffic, Content Distributors need a scalable video encoding solution that easily scales as demand increases", stated Tao Zhong, Chief Executive Office, NETINT Technologies. "Nimbix's Cloud-based encoding platform enables a lower total cost of ownership while simultaneously giving Content Distributors the flexibility and agility they need to adapt to dynamic market conditions. We congratulate Nimbix on the successful deployment of their Codensity encoding infrastructure and look forward to partnering with them in the future."