Intel’s second quarter is pretty much a carbon copy of the first three months of 2024 when it comes to revenues across its newly constituted groups, and with an operating loss that is twice as big. And an outlook that basically says it is going to be tough slogging in …
With all of the hyperscalers and major cloud builders designing their own CPUs and AI accelerators, the heat is on those who sell compute engines to these companies. That includes Intel, AMD, and Nvidia, of course. And it also includes Arm server chip upstart Ampere Computing, which is taking them …
As expected, AMD has once again raised its forecast for sales of its Instinct MI300 series GPUs, and as it has broken through $1 billion in revenues for its “Antares” line of compute engines in the second quarter, it is now expecting to surpass $4.5 billion in sales of these …
The companies under the control of Elon Musk – SpaceX, Tesla, xAI, and X (formerly known as Twitter) – all need a hell of a lot of GPUs, and all for their own specific AI or HPC projects. And the trouble is, there just are not enough GPUs to satisfy …
Commissioned: The importance of data has never been more salient in this golden age of AI services. Whether you’re running large language models for generative AI systems or predictive modeling simulations for more traditional AI, these systems require access to high-quality data. Seventy-six percent of organizations are counting on GenAI …
For Mark Zuckerberg, the decision by Meta Platforms – and way back when it was still known as Facebook – to open much of its technology – including server and storage designs, datacenter designs, and most recently its Llama AI large language models – came about because the company often …
Training AI models is expensive, and the world can tolerate that to a certain extent so long as the cost inference for these increasingly complex transformer models can be driven down. Training is research, development, and overhead, but inference is about making money – either literally by finding new revenue …
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When you are International Business Machines and you do corporate IT deals in 185 countries around the world, political and economic uncertainty is always a problem. And when you compound that with high interest rates, it can be tough to make some money. Luckily for Big Blue, there are product …
A scant three months ago, when Meta Platforms released the Llama 3 AI model in 8B and 70B versions, which correspond to the billions of parameters they can span, we asked the question we ask of every open source tool or platform since the dawn of Linux: Who’s going to …
SPONSORED POST: The rapid breakout of Artificial Intelligence is driving business opportunities across verticals – but there’s one sector for which AI presents some formidable challenges, and that’s the datacenter industry itself. The data-intensive IT resources required by AI workloads make unprecedented demands on datacenter facilities’ physical infrastructure and switching …
Sponsored Feature: In today’s dynamic technological environment, service providers such as cloud service providers (CSPs), managed service providers (MSPs), software-as-a-service (SaaS) providers, and enterprise private cloud operators face a myriad of challenges in the modern datacenter. The vast landscape of technologies that constitute what a modern datacenter is and how …
There is a seemingly endless list of problems to be solved and issues to be addressed in vendors’ steady march toward quantum computing. Researchers in Europe say they recently solved a “decades-old controversy” and used GPU-laden supercomputers running simulations to do it. In the research published earlier this month in …
Taiwan Semiconductor Manufacturing Co already has a de facto monopoly – one that it has earned – when it comes to the manufacturing of datacenter compute engines. Just about every CPU, GPU, DPU, XPU, and FPGA passes through its wafer etching machinery, and increasingly its chip packaging. Where does it …
Back in 2012, when AMD was in the process of backing out of the datacenter CPU business and did not really have its datacenter GPU act together at all, the US Department of Energy exhibited the enlightened self-interest that is a strong foundation of both economics and politics and took …
Maybe, if you need blazing performance extracting data and chewing on it from a relational database, it belongs in a cloud. Because for certain workloads, including vector search and retrieval augmented generation, having a blazingly fast database – and one that can scale from terabytes to petabytes of capacity – …
Everybody knows that companies, particularly hyperscalers and cloud builders but now increasingly enterprises hoping to leverage generative AI, are spending giant round bales of money on AI accelerators and related chips to create AI training and inference clusters. But just you try to figure out how much. We dare you. …
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