Software Mansion’s Post

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

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/3QQ49H8 Watch on YouTube: https://netint.biz/3QKnucQ #VPU #Quadra #streaming #broadcasting #videoProcessing

🎥 The Video Processing Revolution: Decoding at Scale 🚀 Everyone wants efficient video encoding. That's why NETINT Technologies Inc. built the VPU category, achieving 320 1080p30 live AV1, HEVC, and H.264 broadcast quality encodes in a 1RU server. It's impressive. But what about decoding density? With cloud-based video analytics on the rise, decoding efficiency is in the spotlight. So, how do we manage thousands of video streams when GPUs are hungry for data, yet their video IP block occupies just 15% of the die? Our Tech Emmy Award-winning Quadra VPUs aren't just encoding powerhouses. They're decoding champions, supporting VP9, HEVC, and H.264. 🔢 The Numbers Speak for Themselves: • 64 channels of 1080p30 video = 47.8 Gbps total bitrate • One Quadra T2A or two T1Us split traffic across two chips • PCIe Gen 4 bandwidth utilization: Only 37% • PCIe Gen 5 bandwidth utilization: Drops to 18.5% The bottom line: NETINT Quadra VPUs with PCIe Gen 4 or Gen 5 servers unlock unprecedented decoding densities. #VideoProcessing #CloudComputing #NETINT #streamingmedia

Check out the latest post on the Discord Blog, where I walk through some of the major enhancements we've made to video encoding on AMD GPUs. I discuss how these improvements shine within the WebRTC framework, which prioritizes low-latency streaming by strictly managing buffer constraints and penalizing rate overshoot. https://lnkd.in/gwK7Ga3a

[AI Text by Claude Haiku 3] The video is now available in 4K quality at 9.3 Mbps, which is the maximum quality that can be achieved on Rumble. It is an expensive hobby to get into 8K video. The required equipment, such as a CF Express Card Type B (150 euros), a card reader (50 euros), and a Ryzen 5600G processor (140 euros) with 32GB of RAM (50 euros), can add up quickly. The processor also takes 16 hours to convert several 5-second clips into a single 90-second video and does not fully support AV1 and H.265 encoding. Given the time and effort required, it may not be worth the investment to pursue 8K video at this time. Before going to 8K, it's important to ensure you have the necessary technical capabilities, such as a high-end graphics card that supports AV1 and H.265, as well as a paid subscription to a streaming platform. https://lnkd.in/diZUGeVq [My original text] Change the quality to 9,3 mbps aka 4K. That's max what I can get from Rumble. It is an expensive hobby :-) CF Express Card type B 150 euro, Card Reader 50 euro, Processor 5600G 140 euro, 32 GB Ram 50 Euro ... to get to know that this processor needs 16 hours to convert several 5 second clips into one longer about 90 seconds long AND processor is not supporting AV1 and H265 encoding (only partially decoding). 😂 It is not really worth this time to spend such time to confirm this. (3 hours in the woods, 2 hours of travel and then ... 12 hours try to get this working together). My advice ... before going to 8K ... check if you have technical possibility ... sth like really good Graphics Card (which supports AV1 and H265) and you have paid subscription to streaming platform. 🤣 I stay with 4K 60 fps. Just for fun I share the ... downgraded quality movie. [Trust me: in 8K X-H2 is able to focus in nearly realtime on object which is moving constantly because of the wind]

Inexpensive adapter adds #HDMI video and audio input to the #RaspberryPi through MIPI CSI-2 and I2S interfaces. #KVM https://lnkd.in/gJrvpnjm

Unlock Massive Savings with Maelstrom OTT and Quadra VPU! ⬇️ Transitioning from CPU-based encoding to NETINT’s Quadra VPU can slash your operational costs by up to 90%. This isn’t just about lower hardware expenses; it’s also about significant savings in power consumption. Imagine running hundreds of streams concurrently at a fraction of the energy cost. This shift not only improves your bottom line but also aligns with sustainable practices. Discover more about how you can achieve these savings in our full article: https://netint.biz/3zYngZQ #CostSavings #VideoStreaming #Sustainability #OperationalEfficiency #TechInnovation Jet-Stream and NETINT Technologies Inc.

Excellent article by Adam Taylor covering the Tria ZUBoard development board. If you've been following my journey to deploy the MediaPipe models to embedded platforms, this is the embedded board I will be targeting.

This is so fascinating Yes. A GPU has the processor (core), memory (ie GDDR6), it's own internal BIOS, its own VRM for power delivery regulation, and the GPU driver is basically the OS for the GPU card these days. The GPU has baked in hardware for decoding & encoding video, streaming, video playback, and even HD audio. With 24GB of VRAM a 4090 has more memory than the average desktop computer has RAM memory. Even an SSD is a computer inside your computer. SSDs have the processor chip (custom design with 3-5 cores inside typically), DRAM cache for the memory, NAND for the data storage, and it's own internal firmware that runs the whole thing. ( from Reddit )

Unlock Massive Savings with Maelstrom OTT and Quadra VPU! ⬇️ Transitioning from CPU-based encoding to NETINT’s Quadra VPU can slash your operational costs by up to 90%. This isn’t just about lower hardware expenses; it’s also about significant savings in power consumption. Imagine running hundreds of streams concurrently at a fraction of the energy cost. This shift not only improves your bottom line but also aligns with sustainable practices. Discover more about how you can achieve these savings in our full article: https://netint.biz/4fkv5Jz #CostSavings #VideoStreaming #Sustainability #OperationalEfficiency #TechInnovation Jet-Stream and NETINT Technologies Inc.