Deep Genomics’ Post

There are so many lenses on which to look at AI. My favorite perspective is the infrastructure lens, whether that is network, data centre or machines. We get to work.across the entire stack at Google.and it always blows me away when I see the TPU announcements and transformers in action. #Trillium #TPU #AI #infrastructure

𝗚𝗼𝗼𝗴𝗹𝗲 has unveiled 𝗧𝗿𝗶𝗹𝗹𝗶𝘂𝗺, its sixth-generation Tensor Processing Unit (TPU), which delivers an impressive 4.7 times the performance of its predecessor for advanced AI model training and tasks. Trillium hardware innovation has enabled Google to introduce several models announced at the recent Google I/O event, including Gemini 1.5 Flash, Imagen 3, and Gemma 2. ➜ Check the news at: https://lnkd.in/djCy6dNF ➜ Vendorvise's official Instagram: https://lnkd.in/ebK2KQ2C ➜ Vendorvise's Linktree: https://lnkd.in/dQdbMdth 🤖 If you enjoy reading my posts about AI and tech news, hit that like button and share with your friends to support my content! #ai #artificialintelligence #ainews #aipowered #news #blog #google #gemini #io #event #trillium #tpu #compute #resources #generativeai #llms #tokens #aitools #aitech #technology #hardware #content #socialmedia #future #new #launch #business #techtrends #innovation #success #markets #people

Enabling next-generation AI workloads: Announcing TPU v5p and AI Hypercomputer

🚀The AI Arms Race: It's Not Just About Chatbots, It's About Cloud & Chips 🚀 The hype around AI is undeniable, but there's a deeper story unfolding beneath the surface. It's not just about which LLM reigns supreme. It's a battle for  control of the very infrastructure that powers the future - cloud computing  and AI chips. Think of it as a two-pronged war: 1. Cloud Domination ⚔ Companies like Anthropic are betting big on cloud providers. Anthropic's  decision to use AWS exclusively could translate into billions for Amazon. This isn't just about Anthropic, everyone is playing this game! The stakes are high: Microsoft Azure, Google Cloud, and AWS are locked in a multibillion dollar fight for cloud supremacy. The AI revolution is fueling this  war, and the winners will be the ones who control the platforms that powers it. 2. Chip Wars 🚀 Chips are the heart of AI, and Nvidia has long been the dominant player. But the landscape is changing rapidly: But let’s just look at the last few weeks: 🔹Nvidia: ➡The company announced the H200 GPU on November 13.  ➡This new chip is designed for AI work and upgrades the H100 with 1.4x  more memory bandwidth and 1.8x more memory capacity.  ➡The first H200 chips are expected to be released in the 2nd quarter of 2024 🔹Microsoft: ➡Microsoft unveiled the Maia 100 artificial intelligence chip on November 15. ➡The chip is designed for AI tasks and generative AI.  ➡The company hasn’t provided a specific timeline for the release of the Maia 100, but it is expected to arrive in early 2024 🔹Amazon: ➡Amazon Web Services (AWS) announced the next generation of two AWS-designed chip families—AWS Graviton4 and AWS Trainium2 —on November 28.  ➡These chips are designed for a broad range of customer workloads, including ML and AI applications - that was at their big show in Vegas And Google has jumped in to this race as well. These aren't just random investments, they're strategic hedges and land grabs for the cloud market. The year ahead promises to be explosive. This is about more than just chatbots, it's about the foundational technologies that will shape our digital future. #AI #CloudComputing #ChipWar #Tech #FutureOfTech #Innovation 📌 Comment what do you think of the state of AI today 🔄 REPOST to help others with this information 👉 Follow me Karanbir Singh for more cloud and AI tips 

Google unveiled the Trillium TPU, its most powerful and energy-efficient tensor processing unit yet. Trillium TPU is designed to handle the most demanding generative AI models, with a 4.7-times increase in peak compute performance over the previous TPU v5e. It also features twice the High Bandwidth Memory capacity and bandwidth, with enhanced Interchip Interconnect bandwidth, which will significantly improve training time and serving latency for large language models. The Trillium TPUs also introduce the third-generation SparseCore for processing ultra-large embeddings, improving the training and serving of AI models with lower latencies and costs. They are 67% more energy-efficient than their predecessors, promising lower running costs and a smaller carbon footprint. Trillium TPUs can scale to more than 256 units in a single pod and will support the creation of multi-petabyte scale supercomputers. Google DeepMind plans to use them for training future generations of Google's Gemini models. The Trillium TPUs will also be integrated into Google Cloud’s AI Hypercomputer project, offering another hardware option alongside existing TPUs and NVIDIA GPUs. #ai #gpu

I don't usually think of Google as a hardware company, but they do seem to have NVDA in their sights as they use their resources to create alternatives to what is considered an expensive NVDA offering. Admittedly the ROI on NVDA AI solutions might make the price moot, take a look at what is happening with Google - it might be a value play in AI. #losangeles #orangecountyca #chicagotech #csuite #cio https://lnkd.in/gmm-zUej

📊 95% of organizations plan to expand AI usage in the next 2 years, with 68% of IT professionals already implementing AI in their work. An annual report on trends and developments in AI infrastructure based on Microsoft commissioned surveys conducted by Forrester Consulting and Ipsos. To download The State of AI Infrastructure report, please follow the link in the 1st comment. https://lnkd.in/gYUXqdpz #AI #Azure #Technology #Innovation #CloudComputing #MachineLearning #AIInfrastructure #TechTrends #Microsoft #CloudTechnology #DigitalTransformation #DataScience #HighPerformanceComputing #AIAdvancements #FutureOfWork #TechLeadership #ArtificialIntelligence #ComputationalPower #AIApplications #EmergingTech

AI leaders are choosing @Arm Neoverse to build the next generation of high performance, extraordinarily efficient AI data centers. This makes Arm fundamental to the AI Revolution. See why below. https://lnkd.in/dx6n94KP