Moshe Tanach’s Post

The world of AI is evolving, but the high costs of GPUs and CPUs have been a significant obstacle, limiting broader industry access to this technology. The good news is that NeuReality is on a mission to make AI more affordable! Their NR1 system is all about efficient AI operations that lower these cost barriers. Curious? Check out this two-minute video where Moshe Tanach breaks down the economics of NeuReality's NR1 system architecture and explains how NR1 is changing the game in AI cost efficiency. #AI #techinnovation #neureality

Following the recent launch of AMD Instinct MI300X, here are some updates you do not want to miss: We are at a stage in our product ramp where we are consistently identifying new paths to unlock performance with our ROCM software and AMD Instinct MI300 accelerators. With new inference performance data on AMD Instinct MI300X, we are delighted to share our latest results highlighting these gains. 1️⃣ With the latest optimizations we have made, AMD Instinct MI300X performance advantage has increased to 2.1x. 2️⃣ AMD Instinct MI300X continues to show a 1.3x improvement in latency and demonstrate a performance advantage when measuring absolute latency, even when using lower precision and higher precision datatypes. #AMD #togetherweadvance_ #marketing #innovation #motivation #teamwork #technology #leadership #AI #AMDAI #performance

The astonishingly high prices of running trained AI models with GPUs and CPUs - otherwise known as AI Inference - continue to shut out entire industries from one of the most exciting technology revolutions. Ever. NeuReality offers a new #AI economic reality that lowers the cost barriers without compromising data center performance. In fact, the speed, performance and linear scalability of your AI workloads will improve - from #frauddetection to #generativeai. Dramatically. Moshe Tanach takes two minutes to illustrate the economics behind NeuReality's NR1 AI system architecture design: AI Operations/$ and AI Operations/Watt. Start a pilot for your unique performance benchmarks comparing your data center - with and without NR1. #benchmarks #metricsthatmatter #AIDataCenter

Check out the latest addition to the Raspberry Pi family: the #AICamera, featuring the Sony IMX500. This camera can handle a broad range of popular neural network models. It operates with low power consumption and minimal delay, allowing your #RaspberryPi's processor to stay available for other activities. Curious to learn more? 👉 https://lnkd.in/g4EAnnFa

Check out the latest addition to the Raspberry Pi family: the #AICamera, featuring the Sony IMX500. This camera can handle a broad range of popular neural network models. It operates with low power consumption and minimal delay, allowing your #RaspberryPi's processor to stay available for other activities. Curious to learn more? 👉 https://lnkd.in/dz6r9mBx

Discover the force driving AI's exponential growth: GPUs! 🚀 Explore the symbiotic bond of CPUs & GPUs and how Cluster Protocol democratizes GPU access, revolutionizing AI in our latest blog. Don't miss this insightful read: https://lnkd.in/g3C8B3yi

AMD Releases AMD-135M: AMDs First Small Language Model Series Trained from Scratch on AMD Instinct MI250 AcceleratorsUtilizing 670B Tokens AMD has recently introduced its new language model, AMD-135M or AMD-Llama-135M, which is a significant addition to the landscape of AI models. Based on the LLaMA2 model architecture, this language model boasts a robust structure with 135 million par... https://lnkd.in/egd76EKP #AI #ML #Automation

You might've heard about Groq insanely fast LLM chip and inference API, but you might not have watched a truly insightful interview with their CEO Jonathan Ross. Not only you will better understand LPU vs GPU (CPU), but also know a lot more about where this AI industry is heading. I have watched a lot of AI CEOs/Founders, but Jonathan is definitely on the very top of that elite group. And remember to watch all the way to the end. https://lnkd.in/g9KiHuz6

AMD Releases AMD-135M: AMDs First Small Language Model Series Trained from Scratch on AMD Instinct MI250 AcceleratorsUtilizing 670B Tokens AMD has recently introduced its new language model, AMD-135M or AMD-Llama-135M, which is a significant addition to the landscape of AI models. Based on the LLaMA2 model architecture, this language model boasts a robust structure with 135 million par... https://lnkd.in/egd76EKP #AI #ML #Automation

Those GPU capacity thresholds can be brutal! Always prefer on-node >> off-node communication. We have now seen it happen with arguably the most important open-source model to date. Don't skimp on HBM!