Video technology has demonstrated remarkable versatility, with the potential to transmit real-time, interactive experiences. Video can be used to encode social, entertainment, information, or software-based experience and deliver them to ubiquitous devices like PCs, TVs, and smartphones. Achieving more fluid collaborative and interactive experiences requires higher resolutions and frame rates at lower latency. For services aspiring to scale, challenges have included cost, quality of service, visual quality, and motion-to-photon latency.
New cloud architectures promise to resolve user experience gaps. These architectures distribute compute to the network edge, lowering latency, decreasing backhaul traffic, and enabling new forms of data/sensor/display edge processing. Unfortunately, the cost of deployment and operations increases sharply at the edge of the network. The combination of smaller scale, expensive space and enclosures, remote management and maintenance, multi-site security, dedicated power system, and other factors make base stations and their server capacity expensive relative to large data centers.
The advantage that silicon brings to modern video workflows is a 10x or greater reduction in operational cost and a 40% or greater reduction in carbon emissions, while maintaining quality and bitrate efficiency comparable with software.
Operational costs reduction
Carbon emissions reduction
To make edge computing economically viable requires breakthroughs in computing performance and hardware density. Simply getting to scale with social streaming services is extremely expensive; increasing the compute workload by running remote applications can drive insurmountable costs.
NETINT’s ASIC-powered encoding solutions are the only commercially available technology that can deliver end-to-end latency of less than 50ms with an operational cost of 20-40x lower than software running on servers in a data center.
NETINT VPU’s are available in U.2 or PCIe form factors, enabling ten or more video transcoders to be installed in a single 1U server. A typical 1RU configuration can encode up to 40 4Kp60 concurrent computing sessions, making them ideal for latency-sensitive applications like VDI (Virtual Desktop).
A new generation of dedicated video transcoders can reduce the compute requirement at the same quality by 10X and performance per watt by 20X, improving the viability of cloud-edge video services. NETINT, a pioneer in ASIC-based encoding, has introduced a family of dedicated video processors which combine video encoding, solid-state storage, and machine learning.
These processors radically reduce the server footprint required for interactive entertainment like gaming and mixed reality and can scale to economically deliver any native desktop, mobile, or head-mounted display application from the cloud edge.
Utilizing the Integrated Game Streaming Server, mobile gaming platforms can reduce their server footprint by 50x compared to CPU-powered software game processing and encoding.
This increase in game rendering and encoding density expands the number of channels that can be encoded without increasing the rack footprint.
Higher density can be achieved with reduced power and without sacrificing video quality or latency.
Streaming game service providers require a solution that offers both low latency and high visual quality. NETINT’s Codensity ASIC-based encoding technology can be deployed to deliver ultra-low end-to-end latency, less than 50ms with an operational cost that opens up new revenue opportunities.
NETINT VPU’s are available in U.2 or PCIe form factors, enabling ten or more encoders to be installed in a single 1U server, offering up to 160 1080p60 concurrent real-time streams, making them ideal for latency-sensitive applications including cloud gaming and metaverse.
Live video streaming platforms and services require a video encoding solution that offers both low latency and high visual quality.
NETINT’s ASIC-powered technology offers the only commercially-available transcoders and Video Processing Units (VPUs) able to deliver end-to-end latency less than 50ms with an operational cost that is 20-40x less than software running on servers in a data center.
Augmented and Virtual Reality live video streaming requires high-performance video encoding and transcoding. Using Codensity video processing units, the video quality and bitrate efficiency of file-based encoding workflows is now possible for AR and VR live streaming applications.
Virtual desktop applications open up new ways of working for remote employees or applications requiring access to powerful machines that need to be centrally managed. This use case requires high-performance and ultra-low latency video encoding and transcoding.
Using Codensity™ video processing units, ultra-low latency encoding of full resolution desktops at high quality and low bitrates is now possible for cloud-based virtual desktop applications.
Streaming video service providers are utilizing dynamic Ad insertion as an additional monetization strategy. To implement this strategy, service providers are typically utilizing dynamic Ad insertion to manage the placement of advertising in their content.
With the explosive growth of streaming content, service providers have embraced ASIC-based hardware encoding as an alternative to CPU/software encoding due to its ability to efficiently scale while minimizing both TCO and reducing the encode time required for advertising content. Ad insertion services are under the same pressures to adapt to growing demand and must also look to new ASIC encoding solutions that enable faster-than-real-time performance to optimize profitability.
The Integrated Game Streaming Platform’s class-leading performance is the result of harnessing the advanced encoding capabilities of NETINT’s T2 Video Processing Unit (VPU) with a Graphics Processing Unit (GPU) to create a totally integrated high-density game streaming solution.
With the growth of interactive streaming video applications, including cloud gaming, Hyper-Scale video platforms are facing operational pressure to improve both video processing and encoding performance while maximizing power efficiency and simultaneously minimizing their environmental footprint.
Combine one or more NETINT T2 Video Processing Units (VPU) in a server with a Graphics Processing Unit (GPU) to create an Integrated Game Streaming Platform.