The Quadra T2 is an AIC (HH HL) form-factor video processing unit with two Codensity G5 ASICs. Operating in x86 and Arm-based servers. Quadra T2 enables video operators to move from software to hardware-based encoding to power real-time video applications and the metaverse at a TCO that is 40x less than CPU-based solutions.
Less CO2 Emissions
Quadra T2 uses two Codensity G5 ASICs to support AV1, HEVC, and H.264 real-time video encoding up to 8K resolution with 10-bit HDR.
The Quadra T2 Video Processing Unit plugs into any x86 or Arm server for a simple upgrade path to hardware video transcoding.
The high throughput of the Quadra T2 enables ultra-low latency encoding of 32 broadcast quality 1080p60 streams using AV1, HEVC, or H.264.
NETINT Video Processing Units are simple to integrate with using FFmpeg. The Xcoder lib API allows existing video transcoding applications to achieve significant performance and capacity upgrades by switching to ASIC-powered VPUs.
Realtime and ultra-low latency video platforms and services utilize NETINT Quadra T1A, T1U, and T2 Video Processing Units in their x86 and ARM-based servers to reduce operational costs by as much as 40X, and carbon emissions 80X as compared to CPU-powered software-based video transcoders. All while maintaining broadcast video quality.
Quadra T1A, T1U, and T2 VPUs are built on the newest NETINT Codensity™ G5 ASIC that was designed for enterprise-class video transcoding operations capable of reaching 8K resolution at 60 fps using AV1, HEVC, and H.264.
The addition of 2 Deep Neural Network engines capable of 18 Trillion Operations per Second (TOPS), enables functionalities such as object detection, classification and segmentation, and ROI to provide additional data to the encoding engine for image quality improvement and content-adaptive rate control.
To accommodate the widest range of use cases and applications, three Quadra VPU variants are available.
The advantage that silicon brings to modern video workflows is the vast reduction in power needed to operate the device.
Greatly enhanced energy efficiency directly translates to reduced carbon emissions and a reduction in operations costs making many interactive and advanced video applications economically viable. Additionally, the integration of high-scale video encoding with built-in AI processing opens premium video use cases and advanced applications.
Using a 1RU NVME server hosting ten (10) Quadra T1 VPUs, the combined system can achieve simultaneous encoding and transcoding of 160 broadcast quality 1080p60 live streams. For services needing 4Kp60, 8Kp60 and full adaptive bitrate ladders Quadra VPUs provide flexibility across every supported codec, AV1, HEVC, and H.264.
Leveraging FFmpeg, and a comprehensive suite of APIs, video engineers can easily integrate Quadra VPUs into their existing encoding infrastructure. Following is a functional block diagram that illustrates Quadra VPU video encoding and processing operations.