The annual Computex computer expo in Taiwan is one of the places that IT vendors like to trot out some of their new wares, and most of the time they have to do with consumer electronics or maybe PCs and smartphones, but every now and then, we get some insight …
The Korean Meteorological Administration (KMA) operates 20+ numerical weather prediction (NWP) models, including Korean numerical models, for weather forecasting. Large-scale compute is certainly a critical factor in its operations, but with vast computational capability comes the need to balance it with ultra-high performance networking. Over the years, the KMA has …
With enterprises increasing embracing HPC environments to help manage the tidal wave of data that’s washing over them and the rise of AI and machine learning workloads, tech vendors selling into the market need to demonstrate both flexibility and adaptability. Most of these organizations are going to start slowly with …
The good news, and we all need to be looking at the bright sides of things a bit these days is that the biggest IT shops in the world want to buy a lot of datacenter gear from Cisco Systems. Across the board with large enterprise and commercial accounts, the …
Et tu, Meta? Of all of the world’s hyperscalers and large cloud builders, only Meta Platforms, dominated by its Facebook and related social network businesses like Instagram and WhatsApp, is a pure-play hyperscaler. Meaning, it is not a cloud and it therefore does not have to buy X86 processors from …
Why does Google need another database, and why in particular does it need to introduce a version of PostgreSQL highly tuned for Google’s datacenter-scale disaggregated compute and storage? It is a good question in the wake of the launch of the AlloyDB relational database last week at the Google I/O …
Always on the lookout for the kernel of a new platform, we chronicled the steady rise and sharp fall of Hadoop as the go-to open source analytics platform. In fact, we watched it morph into a relational database of sorts only to end up being cheap storage for unstructured data. …
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After years of false starts and delays with various products, we are finally at a point where Intel will truly start to test the breadth of its heterogenous computing strategy, thanks to the release of new Gaudi2 machine learning chips from Intel and the upcoming launch of its much-anticipated “Ponte …
It is Google I/O 2022 this week, among many other things, and we were hoping for an architectural deep dive on the TPUv4 matrix math engines that Google hinted about at last year’s I/O event. But, alas, no such luck. But the search engine and advertising giant, which also happens …
There is a fundamental disconnect between the cadence that chip makers want for their devices and what the hyperscalers and cloud builders would prefer. And it looks like they are working together to split the difference and accept a two year cadence for the architectural upgrade cycle for all key …
The emerging field of neuromorphic processing isn’t an easy one to navigate. There are major players in the field that are leveraging their size and ample resources – the highest profile being Intel with its Loihi processors and IBM’s TrueNorth initiative – and a growing list of startups that include …
James Clarke believes quantum computing won’t become practical until the industry is making chips crammed with upwards of a million error-corrected quantum bits. The goal of making a quantum system with that many qubits isn’t unique to any one company — IBM, Google and startups like PsiQuantum have all stated …
Nvidia is not the only company that has created specialized compute units that are good at the matrix math and tensor processing that underpins AI training and that can be repurposed to run AI inference. Intel has acquired two such companies – Nervana Systems and quickly right after that Habana …
There is increasing competition coming at Nvidia in the AI training and inference market, and at the same time, researchers at Google, Cerebras, and SambaNova are showing off the benefits of porting sections of traditional HPC simulation and modeling code to their matrix math engines, and Intel is probably not …
For the past decade or so, unless enterprises wanted to build more of their own datacenters, the cloud providers were the only game in town to tackle new workloads at massive scale. That capacity was available under a pay-as-you-go consumption model, which was great, until the bill arrived. In many …
In the next few months, Big Blue will launch its entry and midrange Power10 servers, and to be blunt, we are not sure what the HPC and AI angle is going to be for these systems. This is peculiar and not consistent with the prior two decades of the history …
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