Different GPU Horses For Different Datacenter Courses
If the semiconductor business teaches us anything, it is that volumes matter more than architecture. …
If the semiconductor business teaches us anything, it is that volumes matter more than architecture. …
There is no denying that GPUs have incredible potential to accelerate workloads of all kinds, but developing applications that can scale across two, four, or even more GPUs continues to be a prohibitively expensive proposition. …
Wouldn’t it be funny if Google ends up being the stalwart supporter of the X86 architecture among the hyperscalers and cloud builders? …
The modern GPU compute engine is a microcosm of the high performance computing datacenter at large. …
Sponsored When it comes to compute engines and network interconnects for supercomputers, there are lots of different choices available, but ultimately the nature of the applications — and how they evolve over time — will drive the technology choices that organizations make. …
It is hard to imagine how anyone could run Nvidia better than it is being run right now. …
For a decade and a half, Nvidia has been pushed its way into the datacenter, making its presence felt with its GPU accelerators that are designed to improve the performance and power efficiency of servers in HPC and enterprise compute environments and also expanding the opportunities for running highly parallel workloads. …
It is a good thing for Nvidia that most of the hyperscalers in the world – or at least the ones that matter – also have substantial public cloud businesses. …
In a world where GPUs have tens of billions of transistors and chip manufacturing techniques are costly and yields are particularly tough because of the largesse of these devices, every chip that comes of out the foundry is sacred. …
AMD has been on such a run with its future server CPUs and server GPUs in the supercomputer market, taking down big deals for big machines coming later this year and out into 2023, that we might forget sometimes that there are many more deals to be done and that neither Intel nor Nvidia are inactive when it comes to trying to get their compute engines into upper echelon machines. …
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