Arm’s Post

#AWS Graviton processors based on #Arm architecture for #cloud workloads, being increasingly adopted for their ability to reduce environmental impact while delivering top tier performance.

AWS re:Invent 2024 Highlights: Pioneering Innovation at Scale 🎯 AWS re:Invent 2024 kicked off with Matt Garman's keynote, delivering game-changing insights into generative AI, cloud infrastructure and data management. Here's a quick recap: ✔️ Project Rainier & UltraServer: AI supercomputing breakthroughs with unmatched performance and cost-efficiency. ✔️ Amazon Aurora DSQL: The future of distributed, serverless databases with 4x better performance. ✔️ Graviton 4 Processors: Next-gen, energy-efficient solutions for high-demand workloads. ✔️ Zero-ETL Integration: Eliminating data movement complexities for real-time analytics. ✔️ $100 Billion Investment: AWS is doubling down on AI and cloud infrastructure to empower businesses globally. At Sufle, we’re inspired by AWS’s vision and can’t wait to help businesses harness these innovations to scale smarter and innovate faster. What excites you most about these announcements? Let’s discuss! 👇 https://lnkd.in/dXZkhzFk #AWS #ReInvent2024 #SufleInsights #CloudInnovation #AITransformation #GenerativeAI #AWSReInvent #AWSReInvent2024 Amazon Web Services (AWS)

Catch up now with #AWS #reInvent 2024 - Monday Night Live with Peter DeSantis discussing AWS tech innovations, emphasising #cloudcomputing design, #AI advancements, and infrastructure improvements at AWS re:Invent Depth in Details: AWS prioritises understanding intricate details to enhance customer experience and operational efficiency, allowing fast, informed decision-making. Infrastructure as Roots: The foundational technology investments are crucial for AWS’s scalability and service differentiation, akin to tree roots supporting growth. Security Focus: AWS’s commitment to security is evident in its infrastructure design, emphasising supply chain integrity and proactive risk management through the Nitro system. Custom Silicon Innovation: The development of Graviton chips illustrates AWS’s strategy to deliver high performance and lower costs, driving broader adoption of cloud services. AI Infrastructure Evolution: The introduction of Trainium servers signifies AWS’s focus on facilitating advanced AI workloads, enhancing model training and inference capabilities. Collaborative Innovation: Partnerships, like the one with Anthropic, highlight AWS’s commitment to pushing AI boundaries and ensuring customers access to cutting-edge technology. https://lnkd.in/e8zQ2yNS

🚀 GenAI Innovation in Action  We are thrilled to see our CEO, Jennifer Tejada talk about PagerDuty's AI partnership with Amazon Web Services (AWS) and operational resilience in the face of increasing digital transformation. If you want to minimize service disruptions and ensure timely responses/resolutions to operational challenges, watch the keynote here: bit.ly/3Zhu11O

Matt Garman, Amazon Web Services (AWS) CEO, unveiled groundbreaking innovations and partnerships at the 13th annual re:Invent conference. Here are the key takeaways: 💡 Key Announcements: - $1 billion investment in startup credits for 2025 - New Amazon EC2 Trainium Two instances for AI workloads - Amazon S3 Table Buckets for improved analytics - Amazon Aurora DSQL for multi-region database transactions - Amazon Bedrock enhancements for responsible AI deployment - Amazon Nova models for advanced image and video generation - Amazon Q Developer and Amazon Q Business for enhanced productivity 🤝 Notable Partnerships: - #NVIDIA for GPU optimization - #Apple for scaling machine learning and AI infrastructure - #JPMorgan Chase for cloud migration - #PagerDuty for incident management 🔬 Industry Impact: • Generative AI transforming financial services, pharmaceuticals, and retail • Significant improvements in developer productivity and code quality • Enhanced data analytics and machine learning capabilities 🍎 Apple Collaboration Highlight: - Leveraging AWS services across multiple regions for global ML and AI infrastructure scaling - Transition to AWS Graviton and AWS Inferentia technologies for efficiency gains The future of cloud computing and AI is here, and AWS is leading the charge! Excited to see how these innovations will shape our digital landscape. #AWS #reInvent2024 #CloudComputing #AI #Innovation #AppleAWS https://lnkd.in/d6yJycsG

AWS roars back to life! 🦁 Peter DeSantis' re:Invent keynote on Monday night felt like a return to AWS’s roots in infrastructure engineering, showcasing innovation across their entire stack. One standout for me? The R&D and attention to detail behind 𝐓𝐫𝐚𝐢𝐧𝐢𝐮𝐦 2. AWS has tackled a critical challenge: addressing the power spikes between idle and load in their new silicon. This level of engineering precision demonstrates the big hyperscaler is fighting hard to show both performance, and efficiency. I suspect I’ll be writing an article about re:Invent 2024 🤓 My top takeaways from the keynote: 1️⃣ 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐀𝐜𝐫𝐨𝐬𝐬 𝐭𝐡𝐞 𝐒𝐭𝐚𝐜𝐤 AWS is redefining cloud infrastructure, investing heavily at every level: • Custom silicon like Graviton and Trainium. • Game-changers like the Nitro System, which boosts performance, security, and scalability. 2️⃣ 𝐀𝐈-𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐞𝐝 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 AI at scale needs specialized infrastructure, and AWS delivers: 𝐓𝐫𝐚𝐢𝐧𝐢𝐮𝐦 2• offers 20 petaFLOPs of compute for massive models. • NeuronLink clusters Trainium servers into "Ultra Servers," driving breakthroughs in trillion-parameter models. 3️⃣ 𝐃𝐢𝐬𝐚𝐠𝐠𝐫𝐞𝐠𝐚𝐭𝐞𝐝 𝐒𝐭𝐨𝐫𝐚𝐠𝐞 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 By decoupling compute and storage, AWS improves scalability and resilience: • Nitro cards in storage systems allow independent scaling and streamlined maintenance. 4️⃣ 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐀𝐈 𝐖𝐨𝐫𝐤𝐥𝐨𝐚𝐝𝐬 Training AI models is a scale-up challenge, not scale-out. AWS tackles this with: • Advanced data parallelism techniques. • Project Rainier, leveraging Trainium 2 for faster, cost-effective model training. 5️⃣ 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫-𝐂𝐞𝐧𝐭𝐫𝐢𝐜 𝐃𝐞𝐬𝐢𝐠𝐧 Every innovation at AWS is grounded in customer needs: • Faster hardware delivery via automated manufacturing. • Simpler, more reliable networking for AI workloads. • Enhanced inference performance for models like Llama and Claude. At first blush, AWS are building NVIDIA-like systems (silicon, server, network), Apple (NeuroLink interconnect aka Apple Ultra silicon) and SpaceX-like (material/process elimination and automation) engineering, plus much more! Any price reductions? 😒 https://lnkd.in/gP8hs-fh

Here is a summary of the AWS re:Invent keynote: new frontier models (Nova), model distillation, logical reasoning guardrails, $1B in startup credits, and more. https://lnkd.in/ewHYjAn9 AnyQuest agents support AWS Bedrock and will run on Nova models on day one.

In case you missed, this Last Month in AWS News roundup highlights the most impactful releases in AWS optimization and AI and what they mean for your team. From S3 pricing changes to Bedrock Studio preview, this month’s updates can't be missed. Find out all the details and how to take advantage in this article by Solutions Architect Shouri Thallam: https://lnkd.in/gaai3Zwb

Graviton Guardians 🛡️, the “Machine Learning Inference Model at Scale with Graviton” event is almost here! 🗓️Join us on August 12th to dive into how Graviton processors can enhance your ML workloads. Hemant Javeri from 2bcloud will be doing a demo as well showing you how you can get started. It’s FREE, so don’t miss out: Register NOW https://lnkd.in/exmsjXg6 🌟 #AWS #MachineLearning #ZoKnowsML

Great new announcements at AWS re:Invent, including our Amazon Nova models. The new Amazon Nova models, available to those who use Amazon Bedrock, include: - Amazon Nova Micro, a text-only model that delivers the lowest latency responses at very low cost. - Amazon Nova Lite, a very low-cost multimodal model that is lightning fast for processing image, video, and text inputs. - Amazon Nova Pro, a highly capable multimodal model with the best combination of accuracy, speed, and cost for a wide range of tasks. - Amazon Nova Premier, the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models (available in the Q1 2025 timeframe). - Amazon Nova Canvas, a state-of-the-art image generation model. - Amazon Nova Reel, a state-of-the-art video generation model.