How Much Power Will Frontier AI Training Demand in 2030? | Epoch AI
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
Sales of GPU-accelerated servers are still hurting margins at Hewlett Packard Enterprise, as they are doing at all OEMs and probably the ODMs, too, but the good news is that they will be hurting less and less as sales of beefier and more profitable general purpose servers are on the rise and as sovereign clouds and neoclouds turn to HPE for iron and pay higher unit prices for gear. … HPE Systems Rebound As Juniper Brings A Further Boost was written by Timothy Prickett Morgan at The Next Pla...| The Next Platform
It has taken nearly two decades and an immense amount of work by millions of people for high performance computing to go mainstream with GenAI. … Why Is Japan Still Investing In Custom Floating Point Accelerators? was written by Timothy Prickett Morgan at The Next Platform.| The Next Platform
There is no question that one of the smartest things that chip designer, packager, and manufacturing process manager Marvell Technology did was to shell out $650 million in May 2019 to buy Avera Semiconductor. … Marvell’s Custom XPU Pipeline Is A Declaration Of AI Independence was written by Timothy Prickett Morgan at The Next Platform.| The Next Platform
Every OEM in the world has two choices. Choice One: Sell the Nvidia AI hardware and software stack and boost the top line while diluting operating income in their systems businesses. … With AI Boom, Dell’s Datacenter Biz Is Finally Bigger Than Its PC Biz was written by Timothy Prickett Morgan at The Next Platform.| The Next Platform
The expectations for GenAI are unreasonably high and the pressure on Nvidia is tectonic. … Nvidia Sets The Datacenter Growth Bar Very High As Compute Sales Dip was written by Timothy Prickett Morgan at The Next Platform.| The Next Platform
As we talked about a decade ago in the wake of launching The Next Platform, quantum computers – at least the fault tolerant ones being built by IBM, Google, Rigetti, and a few others – need a massive amount of traditional Von Neumann compute to help maintain their state, assist with qubit error correction, and assist with their computations. … IBM And AMD Tag Team On Hybrid Classical-Quantum Supercomputers was written by Timothy Prickett Morgan at The Next Platform.| The Next Platform
With AMD having attaining more than 40 percent revenue share and more than 27 percent shipment share in the X86 server CPU market in the first half of 2025, that means two things. … Intel’s “Clearwater Forest” Xeon 7 E-Core CPU Will Be A Beast was written by Timothy Prickett Morgan at The Next Platform.| The Next Platform
Just because the center of gravity for GenAI compute and other kinds of machine learning and data analytics has shifted from the CPU to the XPU accelerator – generally a GPU these days, but not universally – does not mean that the choice of the CPU for the system hosting those XPUs doesn’t matter. … NeuReality Wants Its NR2 To Be Your Arm CPU For AI was written by Timothy Prickett Morgan at The Next Platform.| The Next Platform
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
We’re proud to announce that Microsoft has once again been recognized as a Leader in the 2025 Gartner Magic Quadrant for Container Management, for the third year in a row. The post Microsoft is a Leader in the 2025 Gartner® Magic Quadrant™ for Container Management appeared first on Microsoft Azure Blog.| Microsoft Azure Blog
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
The post Lattice Q2 FY 2025 Results Show Strong Comms and Compute Growth appeared first on The Futurum Group. Ray Wang and Daniel Newman at Futurum analyse Lattice’s Q2 FY 2025 results, highlighting record server revenue, growing AI attach rates, and strong momentum in communications and compute despite industrial softness. The post Lattice Q2 FY 2025 Results Show Strong Comms and Compute Growth appeared first on The Futurum Group.| The Futurum Group
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
Some heavy hitters like Intel, IBM, and Google along with a growing number of smaller startups for the past couple of decades have been pushing the| The Next Platform
Hewlett Packard Enterprise is going through yet another restructuring to reduce costs, something we have seen a lot of in the past two decades and a half| The Next Platform
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
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
NVIDIA (NASDAQ: NVDA) released its earnings report for Q2 of its fiscal year 2025 on Wednesday, and the result was pretty close to what I expected: continued dominance of the enterprise datacenter AI space, especially in the hyperscaler market, along with plenty of other areas of strength to show that NVIDIA is more than a […]| Moor Insights & Strategy
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
This blog post is written by Brianna Rosentrater, Hybrid Edge Specialist SA. AWS Elastic Disaster Recovery Service (AWS DRS) now supports disaster recovery (DR) architectures that include on-premises Windows and Linux workloads running on AWS Outposts. AWS DRS minimizes downtime and data loss with fast, reliable recovery of on-premises and cloud-based applications using affordable storage, […]| Amazon Web Services
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
