Javier Carrique’s Post

Today, at Next ‘24, we are making significant announcements to drive customer success and momentum, including: Custom silicon advancements, like the general availability of TPU v5p and Google Axion, our first custom ArmⓇ-based CPU designed for the datacenter; Gemini 1.5 Pro, which includes a breakthrough in long context understanding, going into public preview; new grounding capabilities in Vertex AI; Gemini Code Assist for developers; expanded cybersecurity capabilities with Gemini in Threat Intelligence; new enhancements for Gemini in Google Workspace, and much more. These innovations transcend every aspect of Google Cloud. #google #ai #cloud

Exciting announcements from Google Cloud Next ’24! Google Cloud Next ’24 is here, and it’s packed with innovations that will help businesses of all sizes thrive in the cloud. Here’s a quick look at some of the most impressive announcements: Custom silicon advancements: Google Cloud unveiled their latest advancements in custom silicon, including the general availability of TPU v5p and Google Axion, their first custom Arm-based CPU designed for the datacenter, delivering up to 50% better performance and up to 60% better energy efficiency than comparable current-generation x86-based instances. Vertex AI enhancements: Vertex AI is getting even more powerful with new grounding capabilities and the ability to tune the foundation model you have chosen with your data. Expanded security solutions: Google Cloud is expanding its cybersecurity capabilities with Gemini in Threat Intelligence and new enhancements for Gemini in Google Workspace. AI advancements: Google Cloud is introducing AI agents that can understand multi-modal information and Retrieval Augmented Generation (RAG) technology that connects your model to enterprise systems to retrieve information and take action. Google Distributed Cloud (GDC): GDC gives you the flexibility to choose the environment, configuration, and controls that best suit your organization’s specific needs. It also includes new additions like NVIDIA GPUs and GKE on GDC. Sovereign Cloud: Google Cloud is committed to providing secure and compliant cloud solutions for businesses with the most stringent regulatory requirements. There’s so much more to explore! Visit Google Cloud Next ’24 to learn more about these exciting announcements and how Google Cloud can help you achieve your business goals. More details here: https://lnkd.in/ghGxz83t #googlecloud #cloudnext #cloudcomputing #artificialintelligence #machinelearning

💧 Microsoft Ignite 2024 showcased groundbreaking advancements in custom silicon and AI infrastructure, focusing on liquid cooling technologies. These innovations support the next wave of AI workloads, delivering unmatched performance and efficiency while reducing environmental impact. https://lnkd.in/gyjbbjqj Microsoft Microsoft Azure #cloud

Welcome to Google Cloud Next ‘24 The text describes the latest developments and progress made by Google Cloud since their last gathering at Next 2023, including advancements in infrastructure, models, partnerships, and AI agents. It highlights new product releases, improved performance, enhanced security, and collaboration tools within Google Workspace. The emphasis is on leveraging gen AI to drive transformation and create value for customers and partners.

“$100 Trillion has been invested in today’s dollars into CPU-based infrastructure.” Coatue's Philippe Laffont goes on to say that he believes that will all be ripped out to make way for a new GPU infrastructure. Link to the full interview is here: https://lnkd.in/gZP4XCG3 That’s a bit of a stretch, but directionally it is a strong argument. Microsoft, Amazon and Google are each investing $100B+ into new data center capacity - a supply-side bet on future demand of cloud services. However, virtualization for GPUs is nascent. The last decade’s tidal wave of cloud computing was shaped largely by the vCPU and adjacent networking. With all that investment in capacity hyperscalars need to rack GPUs knowing the software to manage the infra will change! To make matters worse, the training and inference components of an AI system have very different networking requirements. Training can go across regions and even clouds. Inference is latency bound and the rise of compound AI systems point toward co-location. I think this transition will be slower and bigger than people expect.

At Google Cloud Next today, 10 NEW new AI-optimized infrastructure, Workspace and Vertex AI offerings were launched, including Google’s first-ever custom ARM-based CPU chip for the data center, Google’s new TPU v5p, and new AI features in Google Workspace for meeting and messaging. “The world is changing, but at Google, our north star is the same: to make AI helpful for everyone, to improve the lives of as many people as possible,” said Google Cloud CEO Thomas Kurian. Google Cloud also unveiled today when NVIDIA newest Grace Blackwell platform will be coming to Google Cloud, as well as a new jointly developed A3 mega instance that leverages Nvidia’s H100 GPUs. Here’s the ten products unveiled today that you need to know: …… #googlecloudnext #googlecloud #googleai #nvidia #workspace https://lnkd.in/eAttPVbH

The results from Google show that with #Intel #ConfidentialComputing you can have security and confidentiality without sacrificing AI performance. Intel CPUs have built-in AI acceleration with #AMX to run optimized inference and fine-tuning.

#GoogleCloudNext24 announces many AI products today. Read about Google Cloud support for large scale AI on #PyTorch — and beyond!

You must see the video! #AI #data 🔥 #infra #cloudconputing #hypercool 💎

Major infrastructure advancements announced at Google Cloud Next! 🚀 - 📈 Hyperdisk ML boosts to 2,500 instances & 1.2 TiB/s throughput - 🗓️ Smart Scheduling enables 14-day advanced AI resource reservations - 🌐 New TPUv5p & ARM CPUs redefine tech possibilities #GoogleCloudNext #TechInnovation #CloudInfrastructure