Timothy Prickett Morgan

Author Archives: Timothy Prickett Morgan

Greasing The Skids To Move AI From InfiniBand To Ethernet

Just about everybody, including Nvidia, thinks that in the long run, most people running most AI training and inference workloads at any appreciable scale – hundreds to millions of datacenter devices – will want a cheaper alternative for networking AI accelerators than InfiniBand.

Greasing The Skids To Move AI From InfiniBand To Ethernet was written by Timothy Prickett Morgan at The Next Platform.

Supermicro Finally Mints Some Coin Peddling Rackscale Iron

With new generations of GPUs and other kinds of AI accelerators either shipping or soon to start shipping and new CPUs also soon to be available from Intel and AMD, and sales already at a historical high level at Supermicro, you might not be expecting for sales to bust through a whole new higher ceiling starting in the next quarter.

Supermicro Finally Mints Some Coin Peddling Rackscale Iron was written by Timothy Prickett Morgan at The Next Platform.

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.

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.

1 5 6 7 8 9 79