
Sometimes The Best AI Accelerator Is The 37,888 GPUs You Already Have
For traditional HPC workloads, AMD’s MI250X is still a powerhouse when it comes to double precision floating point grunt. …
For traditional HPC workloads, AMD’s MI250X is still a powerhouse when it comes to double precision floating point grunt. …
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. …
SPONSORED FEATURE: So, you’re finally ready to jump on the AI bandwagon. …
The ProLiant server business is down in the dumps, and the storage business is in a slump. …
Since the advent of distributed computing, there has been a tension between the tight coherency of memory and its compute within a node – the base level of a unit of compute – and the looser coherency over the network across those nodes. …
Over the past few years, the Arm architecture has made steady gains, particularly among the hyperscalers and cloud builders. …
If you are in the traditional HPC community, it is not hard to be of two minds about the rise of AI and the mainstreaming of generative AI. …
For very sound technical and economic reasons, processors of all kinds have been overprovisioned on compute and underprovisioned on memory bandwidth – and sometimes memory capacity depending on the device and depending on the workload – for decades. …
Timing is a funny thing. The summer of 2006 when AMD bought GPU maker ATI Technologies for $5.6 billion and took on both Intel in CPUs and Nvidia in GPUs was the same summer when researchers first started figuring out how to offload single-precision floating point math operations from CPUs to Nvidia GPUs to try to accelerate HPC simulation and modeling workloads. …
In a world where Nvidia is allocating proportional shares of its GPU hotcakes to all of the OEMs and ODMs, companies like Dell, Hewlett Packard, Lenovo, and Supermicro get their shares and then they turn around and try to sell systems using them at the highest possible price. …
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