NETINT Technologies Inc.’s Post

Efficiency matters in video engineering, especially when it comes to transcoding. NETINT's Quadra, an ASIC-based transcoder, is engineered to address this need. Our tests show that Quadra not only maintains quality but also improves throughput, offering cost savings in large-scale video encoding, particularly for user-generated content. Whether you work for a content platform, social media site, or streaming service, Quadra can enhance your transcoding capabilities. Read the full article: Transcoding UGC: ASICs Are the Lowest Cost Option ▸ https://lttr.ai/AKmp8

Great blog post by Josh Hart about video encoding/transcoding with fractional GPUs on Bottlerocket. He starts by explaining the problem: "As media-streaming workloads fluctuate with viewing habits, it’s important to have elastically scalable rendering capacity. The more responsively additional compute capacity can be provisioned, the better the user experience." Then goes on to compare general purpose Linux distros to Bottlerocket's ready time: General-purpose Linux elapsed time to Node Ready 51.71 second Bottlerocket elapsed time to Node Ready 34.19 seconds (1.6x faster!) Quite a speed improvement. However, the bottom line conclusion really clinches it: "By leveraging fractional GPUs, container orchestration, and purpose-built OS and instance types, media companies can achieve up to 95% better price-performance." Boom. Now go read the details in how this is all done!

Ateme Propels Spatial Computing with TITAN Encoders for Apple Vision Pro

The tech world is rapidly evolving, and one of the most significant shifts is the adoption of ARM architecture, renowned for its efficiency and scalability. This evolution is particularly impactful for professionals in streaming, broadcasting, and CDN infrastructure. If you're in these industries, understanding the benefits of ARM could be pivotal for your technology strategy. G&L Geißendörfer & Leschinsky GmbH initial interest in ARM technology was sparked by the impressive performance of Qualcomm-based ARM hardware encoders, which soon expanded as we noted industry giants like AWS adopting ARM-based setups such as Graviton. The key advantage driving this shift is the significantly lower power consumption that ARM offers, a benefit that's been crucial in the mobile sector and equally valuable in streaming technology. The efficiency of ARM architecture not only makes it ideal for energy-intensive operations but also facilitates considerable cost savings and enhances sustainability. These insights highlight why transitioning to ARM is becoming a strategic move for those looking to optimize technology operations in today's energy-conscious environment. ARM processors, especially those with higher core counts such as the 128-core machines from Ampere, exhibit nearly linear performance scaling, unlike traditional processors like AMD EPIC which often struggle in this area. This linear scalability is crucial for applications that demand reliable live transcoding, where predictable performance scaling is necessary. The key benefits of this scalability include predictable performance as the workload increases and more efficient resource utilization, which helps avoid the performance bottlenecks often seen in systems that do not scale linearly. In G&L Geißendörfer & Leschinsky GmbH's CDN infrastructure developed in Germany, the switch to ARM processors has demonstrated clear advantages. This is particularly true for handling specific streaming protocols not supported by standard servers, such as ancient Icecast streaming or MPEG-TS over TCP, where ARM's efficiency in managing diverse workloads is highly beneficial. For those considering a similar transition, it is advisable to first assess the compatibility of your current infrastructure with ARM technology and then plan a phased integration. This approach allows for monitoring performance improvements and managing transition risks effectively. Adopting ARM architecture represents a strategic decision. Staying informed about the latest developments in ARM technology is crucial to ensure your infrastructure remains competitive and cost-effective. 🌍💡 Watch this insightful video: https://netint.biz/4ac6aV1 #VPU #streaming #video #Encoding #ARM Ampere

Storing thousands of video files can consume a lot of disk space, so how can you take advantage of modern video codecs to save space, but do it in a cost effective way without spending huge amounts of money? Well that was my challenge and luckily there is an easy answer....

The tech world is rapidly evolving, and one of the most significant shifts is the adoption of ARM architecture, renowned for its efficiency and scalability. This evolution is particularly impactful for professionals in streaming, broadcasting, and CDN infrastructure. If you're in these industries, understanding the benefits of ARM could be pivotal for your technology strategy. G&L Geißendörfer & Leschinsky GmbH initial interest in ARM technology was sparked by the impressive performance of Qualcomm-based ARM hardware encoders, which soon expanded as we noted industry giants like AWS adopting ARM-based setups such as Graviton. The key advantage driving this shift is the significantly lower power consumption that ARM offers, a benefit that's been crucial in the mobile sector and equally valuable in streaming technology. The efficiency of ARM architecture not only makes it ideal for energy-intensive operations but also facilitates considerable cost savings and enhances sustainability. These insights highlight why transitioning to ARM is becoming a strategic move for those looking to optimize technology operations in today's energy-conscious environment. ARM processors, especially those with higher core counts such as the 128-core machines from Ampere, exhibit nearly linear performance scaling, unlike traditional processors like AMD EPIC which often struggle in this area. This linear scalability is crucial for applications that demand reliable live transcoding, where predictable performance scaling is necessary. The key benefits of this scalability include predictable performance as the workload increases and more efficient resource utilization, which helps avoid the performance bottlenecks often seen in systems that do not scale linearly. In G&L Geißendörfer & Leschinsky GmbH's CDN infrastructure developed in Germany, the switch to ARM processors has demonstrated clear advantages. This is particularly true for handling specific streaming protocols not supported by standard servers, such as ancient Icecast streaming or MPEG-TS over TCP, where ARM's efficiency in managing diverse workloads is highly beneficial. For those considering a similar transition, it is advisable to first assess the compatibility of your current infrastructure with ARM technology and then plan a phased integration. This approach allows for monitoring performance improvements and managing transition risks effectively. Adopting ARM architecture represents a strategic decision. Staying informed about the latest developments in ARM technology is crucial to ensure your infrastructure remains competitive and cost-effective. 🌍💡 Watch this insightful video: https://netint.biz/3yjrH0r #VPU #streaming #video #Encoding #ARM Ampere

Hints yes... but actually? The interest in VVC is demanded the delivery of higher resolution video, but apart from OTT providers, the market is not running in that direction. Today is a world of efficiency - and that is with the existing AVC codec more than anything else, with the application of per title or Content Aware Encoding as a way to wring out more cost savings. Moving to other codecs, takes time and money with long ROI - not for today's economic situation.

Explore the capabilities of #NVIDIAMetropolis microservices for developing #visionAI applications with customizable, cloud-native APIs. Learn how to leverage APIs to streamline software development, including video streaming, AI-based insights, and analytics, and integrate them into client applications. https://nvda.ws/48KfoYl

Microsoft Storage Accounts Use Cases Blob Storage: An online media streaming service uses Blob Storage to store and stream millions of video files to users globally. It's like a vast library for digital media, allowing for the efficient handling and delivery of large video files. File Storage: A graphic design firm uses File Storage to share design files and resources across its global team. It functions like a centralized, cloud-based file server, where everyone can access and collaborate on the same files from different locations. Table Storage: A mobile gaming app uses Table Storage to store player data, game scores, and user settings. This setup is like a quick-access scoreboard and settings panel, providing fast retrieval of simple data without complex queries or relationships. Queue Storage: An online retailer uses Queue Storage to manage order processing. When a customer places an order, it enters the queue, and various backend processes like inventory check, billing, and shipping are executed in sequence. It is an efficient organizer, ensuring that each order is processed systematically and in order. #azure #azurestorage

One common misconception about ASICs is that they are inflexible and compromise on video quality. 🤨 However, this couldn't be further from the truth! 🚫 Let's set the record straight: - High-Quality Encoding: ASICs have been the backbone of MPEG-II and H.264 encoders for years, delivering exceptional video quality in broadcast environments. - Adaptability: Modern ASIC designs offer flexibility and can adapt to evolving video encoding standards and requirements. - Industry Acceptance: Leading video engineers, like David Ronca from Netflix, recognize the inevitable shift towards video processing ASICs. Have you ever wondered how YouTube manages to stay ahead of the competition? While CPU and GPU encoding have their place, they often fall short in meeting the demands of modern video processing. Platforms that rely solely on these methods face several challenges: - 📉 Reduced Quality: Limited by computational resources, platforms may have to compromise on resolution, frame rate, or other quality parameters. - 🐌 Slower Encoding: CPU and GPU encoding can be time-consuming, hindering the ability to process large volumes of video content efficiently. - 💸 Higher Costs: The infrastructure required to support CPU and GPU encoding at scale can be expensive, impacting profitability and competitiveness. Reach out to our team of experts today to learn more about how ASICs can revolutionize your encoding workflow! https://netint.biz/3ywf1U1 Watch on YouTube: https://netint.biz/3yxYK0T #VPU #Quadra #streaming #broadcasting #videoProcessing