Cadence Sells Custom GPU Supercomputers To Run New CFD Code
If money and time were no object, every workload in every datacenter of the world would have hardware co-designed to optimally run it. …
If money and time were no object, every workload in every datacenter of the world would have hardware co-designed to optimally run it. …
It is beginning to look like AMD’s Instinct datacenter GPU accelerator business is going to do a lot better in 2024 than many had expected and that the company’s initial forecasts given back in October anticipated. …
The national supercomputing centers in the United States, Europe, and China are not only rich enough to build very powerful machines, but they are rich enough, thanks to their national governments, to underwrite and support multiple and somewhat incompatible architectures to hedge their bets and mitigate their risk. …
A few years back, when Intel went up on the rocks with its CPU and GPU designs largely because its chip research and manufacturing did not keep pace with the manufacturing and packaging advances made by foundry rival Taiwan Semiconductor Manufacturing Co, we said that we were rapidly moving towards a world where Intel might have 40 percent of the CPU market, AMD might have 40 percent, and Arm and RISC-V would fight over the remaining 19 percent and 1 percent remaining for other exotic datacenter compute engine chippery. …
The big oil and gas companies of the world were among the earliest and most enthusiastic users of advanced machinery to do HPC simulation and modeling. …
We have five decades of very fine-grained analysis of CPU compute engines in the datacenter, and changes come at a steady but glacial pace when it comes to CPU serving. …
The world has gone nuts for generative AI, and it is going to get a whole lot crazier. …
There is nothing quite like great hardware to motivate people to create and tune software to take full advantage of it during a boom time. …
The exorbitant cost of GPU-accelerated systems for training and inference and latest to rush to find gold in mountains of corporate data are combining to exert tectonic forces on the datacenter landscape and push up a new Himalaya range – with Nvidia as its steepest and highest peak. …
In a world where allocations of “Hopper” H100 GPUs coming out of Nvidia’s factories are going out well into 2024, and the allocations for the impending “Antares” MI300X and MI300A GPUs are probably long since spoken for, anyone trying to build a GPU cluster to power a large language model for training or inference has to think outside of the box. …
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