Cobalt 100 systems are designed to deliver high performance, energy efficiency, and cost effectiveness for a wide range of workloads. The post How Azure Cobalt 100 VMs are powering real-world solutions, delivering performance and efficiency results appeared first on Microsoft Azure Blog.| Microsoft Azure Blog
I did a double-take at this, and the implications of it became weirder and weirder as I read through it, since although packing 500 compute modules in oil and dropping them in a cellar should indeed generate a fair amount of BTUs, i have to wonder how useful this kind of relatively low-end and resource-constrained compute would be–there are no details on storage or internal connectivity, so only two things come to mind: serverless functions or a ready-made botnet.| Tao of Mac
Introduction Heroku is excited to introduce nine new dyno types to our fleets and product offerings. In 2014 , we introduced Performance-tier dynos , giving our customers fully dedicated resources to run their most compute-intensive workloads. Now in 2024, today's standards are rapidly increasing as complex applications and growing data volumes consume more memory and carry heavier CPU loads. With these additional dyno types, we’re excited to enable new use cases on Heroku with enhanced com...| Heroku
If scaling persists to 2030, AI investments will reach hundreds of billions of dollars and require gigawatts of power. Benchmarks suggest AI could improve productivity in valuable areas such as scientific R&D.| Epoch AI
Update April 13, 2023 — Amazon Elastic Compute Cloud (EC2) Trn1n instances, powered by AWS Trainium, are now generally available. Amazon EC2 Trn1n instances double the network bandwidth (compared to Trn1 instances) to 1600 Gbps of Elastic Fabric Adapter (EFA) to deliver even higher performance for training network-intensive generative artificial intelligence (AI) models, such as large […]| Amazon Web Services
With built-in support for local NVMe drives, learn how ACStor now delivers our fastest, most powerful Kubernetes storage platform on Azure.| Microsoft Azure Blog
Microsoft Azure and NVIDIA bring high-performance computing to science, enabling faster simulations and deeper insights. Learn more.| Microsoft Azure Blog
At Microsoft, secure design begins at the foundation of our computing stack—the silicon level—and extends through every layer of the cloud. Learn more.| Microsoft Azure Blog
We’re proud to announce that Microsoft has been named a Leader in the 2025 Gartner® Magic Quadrant™ for Cloud-Native Application Platforms for a second year in a row, and the furthest to the right in Completeness of Vision. Learn more.| Microsoft Azure Blog
The power required to train the largest frontier models is growing by more than 2x per year, and is on trend to reaching multiple gigawatts by 2030.| Epoch AI
D-Wave executives stirred up some controversy earlier this year when they claimed a smaller version of its Advantage 2 annealing quantum system, armed| The Next Platform
In an era where scientific discovery transcends borders, cloud computing is helping advance how researchers collaborate and innovate across the globe. Now available for download, The Value of Utilizing Cloud Service Providers for Open Science Research report—produced by Hyperion Research and sponsored by AWS— explores how and why researchers use cloud to accelerate open science research. Read this post to learn more.| Amazon Web Services
Learn how Project Flash works to deliver precise telemetry, real-time alerts, and more with a user-friendly experience for virtual machines.| Microsoft Azure Blog
Learn how AKS supports PostgreSQL workloads with Azure Container Storage and local NVMe or Premium SSD v2 via the Disk CSI driver.| Microsoft Azure Blog
We project how many notable AI models will exceed training compute thresholds. Model counts rapidly grow from 10 above 1e26 FLOP by 2026, to over 200 by 2030.| Epoch AI
Agentic DevOps is the next evolution in the software development lifecycle. Read how these AI agents help developers accelerate delivery and stay focused on high-impact work while remaining in control of the process.| Microsoft Azure Blog
Since 2010, the length of training runs has increased by 1.2x per year among notable models, excluding those that are fine-tuned from base models. A continuation of this trend would ease hardware constraints, by increasing training compute without requiring more chips or power. However, longer training times face a tradeoff. For very long runs, waiting for future improvements to algorithms and hardware might outweigh the benefits of extended training.| Epoch AI
China has lots of coal but it does not have a lot of GPUs or other kinds of tensor and vector math accelerators appropriate for HPC and AI. And so as it| The Next Platform
AI supercomputers double in performance every 9 months, cost billions of dollars, and require as much power as mid-sized cities. Companies now own 80% of all AI supercomputers, while governments’ share has declined.| Epoch AI
High tech companies always have roadmaps. Whether or not they show them to the public, they are always showing them to key investors if they are in their| The Next Platform
We introduce a compute-centric model of AI automation and its economic effects, illustrating key dynamics of AI development. The model suggests large AI investments and subsequent economic growth.| Epoch AI
The third annual Hailo Hackathon was bigger, bolder, and more innovative than ever! Over 24 hours, 60 Hailo employees came together to push the boundaries of edge AI using the Hailo AI HAT+ (26TOPS) on the Raspberry Pi 5. This wasn’t just a coding event—it was a celebration of creativity, collaboration, and problem-solving. With great food, an overnight coding marathon, and... The post Hailo Hackathon 2024-2025: Pushing the Limits of AI Innovation on Raspberry Pi appeared first on H...| Hailo
Discover the latest Radeon GPU Profiler v2.4, now supporting Radeon RX 9000 Series GPUs and profiling for pure compute and DirectML applications. Enhance your optimization with improved ISA views and Work Graphs support.| gpuopen.com
From zero-code robotics to advanced surveillance, see how Hailo’s Edge AI demos dazzled CES 2025. Explore the latest AI trends & highlights!| Hailo
We’ve compiled a comprehensive dataset of the training compute of AI models, providing key insights into AI development.| Epoch AI
We’ve expanded our Biology AI Dataset, now covering 360+ models. Our analysis reveals rapid scaling from 2017-2021, followed by a notable slowdown in biological model development.| Epoch AI
Data movement bottlenecks limit LLM scaling beyond 2e28 FLOP, with a “latency wall” at 2e31 FLOP. We may hit these in ~3 years. Aggressive batch size scaling could potentially overcome these limits.| Epoch AI
We investigate four constraints to scaling AI training: power, chip manufacturing, data, and latency. We predict 2e29 FLOP runs will be feasible by 2030.| Epoch AI
Today we’re launching Amazon Time Sync Service, a time synchronization service delivered over Network Time Protocol (NTP) which uses a fleet of redundant satellite-connected and atomic clocks in each region to deliver a highly accurate reference clock. This service is provided at no additional charge and is immediately available in all public AWS regions to […]| Amazon Web Services
We characterize techniques that induce a tradeoff between spending resources on training and inference, outlining their implications for AI governance.| Epoch AI
1. Overview In my previous blog posts, I explained how the amazing buffer tag works in PostgreSQL and how to set up a shared storage using the Lustre network file system. In this blog, I will explain the storage interface provided by PostgreSQL and an idea to experience the storage interface, namely, smgr, the storage| Highgo Software Inc. - Enterprise PostgreSQL Solutions
Innovating at the technological forefront with Generative AI at the Edge. Learn about its role in the evolution of modern edge computing.| Hailo
AWS is always on the look out for saving cost for you. It has also evolved the pricing model from having just one type of On-Demand to Reserved instance to the latest Savings Plans. AWS has also thought about the tenancy of the machine, be it shared, dedicated instance or dedicated host. Understanding the AWS Pricing and Tenancy can be little difficult. This blog tries to simplify the jargons and just bring the crux of the pricing and tenancy models. You can save up 99% over on demand pricing...| Archer Imagine
You might of heard a lot of cloud computing, The only thing that might bother you, how does it all work. The AWS Cloud is dependent on the AWS EC2 (Elastic Compute Cloud), its atomic unit for servers. You can learn to launch an EC2 instance, in 7 easy to follow steps, which will take less than 5 minutes to complete.| Archer Imagine
The datacenter industry today looks very different than it did a decade ago. A number of factors have emerged over the past few years: most recently, the| The Next Platform
Vulkan (compute) has the potential to be the next-generation GPGPU standard for various GPUs to support various domains; one immediate compelling application, is machine learning inference for resource-constrained scenarios like in mobile/edge devices and for gaming. This blog post explains the technical and business aspects behind and discusses the challenges and status.| Lei.Chat()
February 9, 2021: Post updated with the current regional availability of container image support for AWS Lambda. With AWS Lambda, you upload your code and run it without thinking about servers. Many customers enjoy the way this works, but if you’ve invested in container tooling for your development workflows, it’s not easy to use the […]| Amazon Web Services
