Edit this listing
306 - 3500 Gilmore Way
Burnaby BC V5G 0B8
At NETINT, we know that you want to reduce your video encoding OPEX and energy costs without the pain of rearchitecting your video workflow. But, to do that, you need a solution that integrates with your existing workflows and delivers the quality and flexibility of software with the energy and cost efficiency of hardware.
NETINT ASIC-powered VPUs work in x86 and Arm servers and support AV1, HEVC, and H.264 encoding while offering a 20x increase in encoding density and a 40x reduction in carbon emissions compared to CPU-based software encoders. NETINT is VC-backed with offices in Vancouver, Toronto, Shanghai.
With service delivery cost and environmental efficiency being center stage, your need to meet dramatically reduced OPEX targets and strict ESG benchmarks has never been higher. We understand there can be a reluctance to change from a solution that works even with the high pressure to reduce energy consumption and operational costs.
This is why NETINT partnered with Supermicro to build an ASIC-powered video encoding server that supports HEVC and H.264 live stream encoding and recoups its cost based on reducing your current OPEX in as little as 90 days (about three months).
Whitepapers, Archived Webcasts and Sponsored Content
How to Slash CAPEX, OPEX, and Carbon Emissions with T408 Video Transcoder
Real-time streaming experiences like live events, interactive video, cloud gaming, video communications, and virtual worlds are seeing massive consumer adoption. Meeting this demand with CPU-based codecs like x264 and x265 is expensive and inefficient, unnecessarily boosting CAPEX, OPEX, and carbon emissions generated by power hungry CPUs.
The trend for large platforms, like YouTube, is to build custom Application Specific Integrated Circuits, or ASICs, like Google’s Argos Video Coding Unit (VCU), which according to one report, has replaced over 10 million Intel CPUs in YouTube alone.
While most companies can’t build their own ASIC, NETINT’s Codensity ASIC-powered T408 video transcoder can deliver the same benefits for engineers that encode, transcode, and process massive quantities of live or interactive streams.
This How-To Guide compares the output quality, CAPEX, OPEX, and carbon emissions for three production scenarios.
Everything about the NETINT Product Line
The Codensity G4 was the first encoding ASIC developed by NETINT. There are two G4-based transcoders, the T408, available in a U.2 form factor and as an add-in card, and the T432, which is available as an add-in card.
The T408 contains a single G4 ASIC and draws 7 watts under full load, while the T432 contains four G4 ASICs and draws 27 watts.
In addition to roughly quadrupling the H.264 and HEVC throughput of the Codensity G4, the Codensity G5 is our second-generation ASIC that adds AV1 encode support, VP9 decode support, onboard scaling, cropping, padding, graphical overlay, and an 18 TOPS (Trillions of Operations Per Second) artificial intelligence engine that runs the most common frameworks all natively in silicon.
Where the G4 ASIC is primarily a transcoding engine, the G5 incorporates much more onboard processing for even greater video processing acceleration. For this reason, NETINT labels Codensity G4-based products as Video Transcoders and Codensity G5-based products as Video Processing Units or VPUs.
In terms of power consumption, the T1 draws 17 Watts, the T1A 20 Watts, and the T2 draws 40 Watts.
Maximizing Cloud Gaming Performance with ASICs
Ask ten cloud gamers what an acceptable level of latency is for cloud gaming, and you’ll get ten different answers. However, they will all agree that lower latency is better.
At NETINT, we understand. As a supplier of encoders to the cloud gaming market, our role is to supply the lowest possible latency at the highest possible quality and the greatest encoding density with the lowest possible power consumption. While this sounds like a tall order, because our technology is ASIC based, it’s what we do for cloud gaming and high-volume video streaming workloads of all types.
In this article, we’ll take a quick look at the technology stack for cloud gaming and the role of compression. Then we’ll discuss the performance of the NETINT Quadra VPU (video processing unit) series using the four measuring sticks of latency, density, video quality, and power consumption.
Argos dispels common myths about encoding ASICs
Advanced Codecs Means Encoding Time Has Grown by 8,000% Since H.264
In discussing why Google created its own encoder, Kuusela explained that video was getting harder to compress, not only from a codec perspective but from a resolution and frame rate perspective. Here’s Kuusela (all quotes grabbed from the YouTube video and lightly edited for readability).
“In order to sustain the higher resolutions and frame rate requirements of video, we have to develop better video compression algorithms with improved compression efficiency. However, this efficiency comes with greatly increased complexity. For example, if we compare the vp9 from 2013 to the decade older H.264, the time to encode videos in software has grown to 10x. The more recent AV1 format from 2018 is already 200 times more time-consuming than the h.264 standard.
If we further compound this effect with the increase in resolution and frame rate for top-quality video, we can see that the time to encode a video from 2003 to 2018 has grown eight thousand-fold. It is very obvious that the CPU performance improvement has not kept up with this massive complexity growth, and to keep our video services running smoothly, we had to consider warehouse scale acceleration. We also knew things would not get any better with the next generation of compression.”
Computing Payback Period on T408s
One of the most power-hungry processes performed in data centers is software-based live transcoding, which can be performed much more efficiently with ASIC-based transcoders. With power costs soaring and carbon emissions an ever-increasing concern, data centers that perform high-volume live transcoding should strongly consider switching to ASIC-based transcoders like the NETINT T408. Computing the Payback Period is easy with this calculator -https://netint.com/calculators/calculator1/index.html
To assist in this transition, NETINT recently published two online calculators that measure the cost savings and payback period for replacing software-based transcoders with T408s. This article describes how to use these calculators and shows that data centers can recover their investment in T408 transcoders in just a few months, even less if you can repurpose servers previously used for encoding for other uses.