Analytics systems have been downing in data for years, and the edge is going to flood it unless the architecture changes. There is so much data that is going to be generated at the edge of the network that it can’t be practically moved back to the datacenter for processing in a timely enough fashion to be useful in a way that the gathering of the information was done in the first place.
That is the premise behind our expanding coverage of edge computing and what is evolving into a distributed, multi-tier data processing complex – you can’t really call …
Swim In Data At The Edge, Don’t Drown In It In the Datacenter was written by Jeffrey Burt at The Next Platform.
All kinds of convergence is going on in infrastructure these days, with the mashing up of servers and storage or servers and networking, or sometimes all three at once. This convergence is not just occurring at the system hardware or basic system software level. It is also happening up and down the software stack, with a lot of codebases branching out from various starting points and building platforms of one kind or another.
Some platforms stay down at the server hardware level – think of the Cisco Systems UCS blade server, which mashes up servers and networking – while others …
Recruiting The Puppet Masters Of Infrastructure was written by Timothy Prickett Morgan at The Next Platform.
If there is one consistent complaint about open source software over the past three decades that it has been on the rise, it is that it is too difficult to integrate various components to solve a particular problem because the software is not really enterprise grade stuff. Well, that is two complaints, and really, there are three because even if you can get the stuff integrated and running well, that doesn’t mean you can keep it in that state as you patch and update it. So now we are up to three complaints.
Eventually, all software needs to be packaged …
Red Hat Gets Serious About Selling Open Source Storage was written by Timothy Prickett Morgan at The Next Platform.
Without splitting a lot of hairs on definitions, it is safe to say that machine learning in its myriad forms is absolutely shaking up data processing. The techniques for training neural networks to chew through mountains of labeled data and make inferences against new data are set to transform every aspect of computation and automation. There is a mad dash to do something, as there always is at the beginning of every technology hype cycle.
Enterprises need to breathe. The hyperscalers are perfecting these technologies, which are changing fast, and by the time things settle out and the software …
Lagging In AI? Don’t Worry, It’s Still Early was written by Timothy Prickett Morgan at The Next Platform.
There has been a lot of research and development devoted to bringing the Arm architecture to servers and storage in the datacenter, and a lot of that has focused on making beefier and usually custom Arm cores that look more like an X86 core than they do the kind of compute element we find in our smartphones and tablets. The other way to bring Arm to the datacenter is to use more modest processing elements and to gang a lot of them up together, cramming a lot more cores in a rack and making up the performance in volume.
This …
Making The Case For Fully Converged Arm Servers was written by Timothy Prickett Morgan at The Next Platform.
In the early days of computing in the datacenter, vendors of systems pretty much owned their platforms, from the chip all the way up to the compiler.
When you invested in an IBM, Sperry, Burroughs, NEC, Bull, Hitachi, or Fujitsu mainframe, or one of the myriad minicomputer systems from Big Blue, Digital, Hewlett-Packard, or eventually Unix systems from Sun Microsystems and its competition (mainly Data General, SGI, HP, and IBM), you were really investing in a way of computing life. A lot of the decisions about what to buy were already made, and you didn’t have to think much about …
The Majority Of Systems Sold Are Converged, Maybe was written by Timothy Prickett Morgan at The Next Platform.
When looking for all-flash storage arrays, there is no lack of options. Small businesses and hyperscalers alike helped fuel the initial uptake of flash storage several years ago, and since then larger businesses have taken the plunge to help drive savings in such areas as power and cooling costs, floor and rack space, and software licensing.
The increasing demand for the technology – see the rapid growth of Pure Storage, the original flash array upstart over the past nine years – has not only fueled the rise of smaller vendors but also the portfolio expansion of such established …
Vexata Has Its Own Twist On Scaling Flash Storage was written by Jeffrey Burt at The Next Platform.
It is hard to make a profit selling hardware to supercomputing centers, hyperscalers, and cloud builders, all of whom demand the highest performance at the lowest prices. But in the first quarter of this year, network chip, adapter, switch, and cable supplier Mellanox Technologies – which has products aimed at all three of these segments – managed to do it.
And with activist investor, Starboard Value, pressing Mellanox to make the kinds of profits that other networking companies command, the swing to a very decent net income could not have come at a better time. Starboard has been on the …
Taking The Long View On High Performance Networking was written by Timothy Prickett Morgan at The Next Platform.
Intel has been making some interesting moves in the community space recently, including free licenses for its compiler suite for educators and open source contributors can now be had, as can rotating 90 day licenses for its full System Studio environment for anyone who takes the time to sign up.
In the AI space, Intel recently announced that its nGraph code for managing AI graph APIs has also been opened to the community. After opening it up last month, Intel has been followed up on the initial work on MXNet with further improvements to TensorFlow.
The Next Platform …
Is Open Source The AI Nirvana for Intel? was written by James Cuff at The Next Platform.
The European Union has never been willing to cede the exascale computing race to the United States, Japan, or China.
In recent years, Europe has ramped up its investments in the HPC space through such programs as Horizon 2020, an effort to grow R&D in Europe, and EuroHPC to drive development of exascale systems, and the Partnership for Advanced Computing in Europe (PRACE), which aims to develop a distributed supercomputing infrastructure that will be accessible to researchers, businesses, and academic institutions throughout the EU. The SAGE project will create a multi-tiered storage platform for data-centric exascale computing to enable …
EU Swaps JuQueen BlueGene/Q For Modular Xeon JUWELS Supercomputer was written by Jeffrey Burt at The Next Platform.
The thing about platforms that have a wide adoption and deep history is that they tend to persist. They have such economic inertia that, so long as they can keep morphing and grafting on new technologies, that they persist long after alternatives have emerged and dominated data processing. Every company ultimately wants to build a platform for this reason, and has since the dawn of commercial computing, for precisely this reason, for this inertia – it takes too much effort to change or replace it – is what generates the profits.
It is with this in mind that we contemplate …
The Contradictions Of IBM’s Platform Strategy was written by Timothy Prickett Morgan at The Next Platform.
With choice comes complexity, and the Cambrian explosion in compute options is only going to make this harder even if it is a much more satisfying intellectual and financial challenge. This added complexity is worth it because companies will be able to more closely align the hardware to the applications. This is why search engine giant Google has been driving compute diversity and why supercomputer maker Cray has been looking forward to it as well.
This expanding of the compute ecosystem is also necessary because big jumps in raw compute performance for general purpose processors are possible as they were …
Cray’s Ever-Expanding Compute For HPC was written by Timothy Prickett Morgan at The Next Platform.
When a company has 500,000 enterprise customers that are paying for perpetual licenses and support on systems software – this is an absolutely enormous base by corporate standards, and a retro licensing model straight from the 1980s and 1990s – what does it do for an encore?
That’s a very good question, and for now the answer for VMware seems to be to sell virtual storage and virtual networking networking to that vast base of virtual compute customers, and take wheelbarrows full of money to the bank on behalf of parent Dell Technologies. Virtualization took root during the Great Recession …
VMware’s Platform Can Only Reflect The Enterprise Datacenter was written by Timothy Prickett Morgan at The Next Platform.
For the past several years, machine learning as evolved by the hyperscalers has been trickling down from on high, through frameworks and services, into enterprises.
Machine learning is becoming a regular technique underpinning applications in a growing number of industries like manufacturing, energy, telecommunications and engineering, where companies see it as a way to not only reduce the costs and improve the efficiencies in their operations but also to more quickly detect patterns in and gain insights from the huge amounts of data they are generating. The goal is to making better and faster business decisions, and to …
DHL Gets Logical – And Logistical – About Machine Learning was written by Jeffrey Burt at The Next Platform.
HPC software evolves continuously. Those now finding themselves on the frontlines of HPC support are having to invent and build new technologies just to keep up with deluge of layers and layers of software on top of software and software is only part of the bigger picture.
We have talked in the past about computational balance and the challenges of unplanned data, these are both real and tangible issues. However, now in addition to all of that, those in support roles living at the sharp end of having to support research are also faced by what is increasingly turning …
Containing the Complexity of the Long Tail was written by James Cuff at The Next Platform.
Sometimes you can beat them, and sometimes you can join them. If you are Docker, the commercial entity behind the Docker container runtime and a stack of enterprise-class software that wraps around it, and you are facing the rising popularity of the Kubernetes container orchestrator open sourced by Google, you can do both. And so, even though it has its own Swarm orchestration layer, Docker is embracing Kubernetes as a peer to Swarm in its own stack.
This is not an either/or proposition, and in fact, the way that the company has integrated Kubernetes inside of Docker Enterprise Edition, the …
Docker Inevitably Embraces Kubernetes Container Orchestration was written by Timothy Prickett Morgan at The Next Platform.
As humankind continues to stare into the dark abyss of deep space in an eternal quest to understand our origins, new computational tools and technologies are needed at unprecedented scales. Gigantic datasets from advanced high resolution telescopes and huge scientific instrumentation installations are overwhelming classical computational and storage techniques.
This is the key issue with exploring the Universe – it is very, very large. Combining advances in machine learning and high speed data storage are starting to provide hitherto unheard of levels of insight that were previously in the realm of pure science fiction. Using computer systems to infer knowledge …
GPUs Mine Astronomical Datasets For Golden Insight Nuggets was written by James Cuff at The Next Platform.
Many of us are impatient for Arm processors to take off in the datacenter in general and in HPC in particular. And ever so slowly, it looks like it is starting to happen.
Every system buyer wants choice because choice increases competition, which lowers cost and mitigates against risk. But no organization, no matter how large, can afford to build its own software ecosystem. Even the hyperscalers like Google and Facebook, whole literally make money on the apps running on their vast infrastructure, rely heavily on the open source community, taking as much as they give back. So it is …
Another Step In Building The HPC Ecosystem For Arm was written by Timothy Prickett Morgan at The Next Platform.
Hyperconverged storage is a hot commodity right now. Enterprises want to dump their disk arrays and get an easier and less costly way to scale the capacity and performance of their storage to keep up with application demands. Nutanix has a become as significant player in a space where established vendors like Hewlett Packard Enterprise, Dell EMC, and Cisco Systems are broadening their portfolios and capabilities.
But as hyperconverged infrastructure (HCI) becomes increasingly popular and begin moving up from midrange environments into larger enterprises, challenges are becoming evident, from the need to bring in new – and at times …
Pushing Up The Scale For Hyperconverged Storage was written by Jeffrey Burt at The Next Platform.
For decades, the IT market has been obsessed with the competition between suppliers of processors, but there are rivalries between the makers of networking chips and the full-blown switches that are based on them that are just as intense. Such a rivalry exists between the InfiniBand chips from Mellanox Technologies and the Omni-Path chips from Intel, which are based on technologies Intel got six years ago when it acquired the InfiniBand business from QLogic for $125 million.
At the time, we quipped that AMD needed to buy Mellanox, but instead AMD turned right around and shelled out $334 million to …
The Battle Of The InfiniBands, Part Two was written by Timothy Prickett Morgan at The Next Platform.