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How To Make More Money Renting A GPU Than Nvidia Makes Selling It

It is not a coincidence that the companies that got the most “Hopper” H100 allocations from Nvidia in 2023 were also the hyperscalers and cloud builders, who in many cases wear both hats and who are as interested in renting out their GPU capacity for others to build AI models as they are in innovating in the development of large language models.

How To Make More Money Renting A GPU Than Nvidia Makes Selling It was written by Timothy Prickett Morgan at The Next Platform.

The Cutting Edge In Power Grid Management

Commissioned: Thanks to recent technological advancements, there are many different sources of electricity available which can help organizations address our growing demand for energy from power hungry devices such as electric vehicles while reducing their reliance on fossil fuels like petroleum, coal, and gas.

The Cutting Edge In Power Grid Management was written by Timothy Prickett Morgan at The Next Platform.

What Happens When Hyperscalers And Clouds Buy Most Servers And Storage?

We have a long-standing joke that dates from the early 2000s, when the hyperscalers – there were not yet cloud builders as we now know them – started having hundreds of millions of users and millions of servers and storage arrays to run applications for them at the same time there was the beginnings of consolidation among the OEMs who created the servers and storage used by nearly all enterprises, including dot-com startups.

What Happens When Hyperscalers And Clouds Buy Most Servers And Storage? was written by Timothy Prickett Morgan at The Next Platform.

Power Efficiency, Customization Will Drive Arm’s Role In AI

More than a decade ago, executives at Arm Ltd saw the energy costs in datacenters soaring and sensed an opportunity to extend the low-power architecture of its eponymous systems-on-a-chip that has dominated the mobile phone markets from the get-go and took over the embedded device market from PowerPC into enterprise servers.

Power Efficiency, Customization Will Drive Arm’s Role In AI was written by Jeffrey Burt at The Next Platform.

Los Alamos Pushes The Memory Wall With “Venado” Supercomputer

Today is the ribbon-cutting ceremony for the “Venado” supercomputer, which was hinted at back in April 2021 when Nvidia announced its plans for its first datacenter-class Arm server CPU and which was talked about in some detail – but not really enough to suit our taste for speeds and feeds – back in May 2022 by the folks at Los Alamos National Laboratory where Venado is situated.

Los Alamos Pushes The Memory Wall With “Venado” Supercomputer was written by Timothy Prickett Morgan at The Next Platform.

AWS Hedges Its Bets With Nvidia GPUs And Homegrown AI Chips

There was a time – and it doesn’t seem like that long ago – that the datacenter chip market was a big-money but relatively simple landscape, with CPUs from Intel and AMD and Arm looking to muscle its way in and GPUs mostly from Nvidia with some from AMD and Intel looking to muscle its way in.

AWS Hedges Its Bets With Nvidia GPUs And Homegrown AI Chips was written by Jeffrey Burt at The Next Platform.

With MTIA v2 Chip, Meta Can Do AI Inference, But Not Training

If you control your code base and you have only a handful of applications that run at massive scale – what some have called hyperscale – then you, too, can win the Chip Jackpot like Meta Platforms and a few dozen companies and governments in the world have.

With MTIA v2 Chip, Meta Can Do AI Inference, But Not Training was written by Timothy Prickett Morgan at The Next Platform.

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