DISRUPTIVE TECH
DECIDING WHEN TO INVEST IN NEW HARDWARE AND INFRASTRUCTURE WHILE TRYING TO BE AHEAD OF THE COMPETITION IS NOT AN EASY TASK .
getting buy-in from senior decision-makers within their organisation . There has to be a recognition here that implementing APM solutions and making a success of it requires a long-term strategic transformation . It is a foundational capability rather than a quick fix .
Customers also need to understand that APM solutions are more than just a predictive maintenance tool , and instead recognise how the insights gained from the solution can help to improve overall process and maintenance efficiency and outcomes over time . Communicating that the full benefits may not be seen for some time can be a difficult sell .
Not only CPUs and GPUs are getting more powerful , but also DRAM memory , such as HBM and DDR5 and storage drives , such as NVMe SSD are involved to support the increasing performance of the data processing units . Other technologies such as 5G and Edge Computing are also needed to ensure higher bandwidth and low latencies .
The benefits enabled by HPCs and supercomputing are multiple . Having more powerful systems to process data results in performance efficiency and in costs savings .
Taking the example of DDR5 Technology , memory modules are now coming with more capacity , 96GB and higher , higher bandwidth and consume less power compared to previous generation .
A single node with last generation computing components has much more data processing capacity , which can result in reducing the amount of hardware and clusters required with increased performance capability , therefore reducing the power consumption and Total Cost of Ownership .
Success in AI , ML , and NLP applications demands a combination of technical and business skills . Starting with organised data collection , combining IT and operational technology is crucial for datadriven decisions in asset-intensive industries , making operations more efficient , reliable , and safer .
“ Keeping-up with the latest generation of various computing hardware is a big challenge for enterprise specialising in HPC . New CPUs , GPUs , memory and data storage technologies continue to be released on the market , but not always at the same time ,” says Kingston Technology ’ s Yazbeck .
On the business side , strategic thinking , understanding industry-specific challenges , and the ability to translate technical capabilities into tangible outcomes matter . Skills in project management , stakeholder communication , and change management is equally vital .
Deciding when to invest in new hardware and infrastructure while trying to be ahead of the competition is not an easy task . With over 35 years of industry experience , Kingston Technology and its Askan-Expert service actively support companies in finding the right hardware for their workload and needs .
Finally , all this needs to be delivered through a collaborative approach , involving cross- functional teams , together with IT specialists , business analysts , and domain experts .
High performance computing for AI
Various IT skills are required for companies specialised in HPC and supercomputing . Qualified workers , such as Data Centre Architects can assess the all the required resources from the data centre infrastructure , power capability , cooling systems , network architecture , site security .
“ It is undeniable that more and more services and applications , including AI models are cloud-based , driving the increasing demand for data processing capability of data centres . To support this increasing demand , technology evolutions are happening at every levels ,” says Khalil Yazbeck , Business Development Manager UAE , Kuwait , Qatar and Oman , Kingston Technology .
Also required are Solution and Technical Architects , who identify the right computing hardware components , server model and internal components and take care of the implementation . Large investments depend on these qualified workers ; therefore , they need to work together to ensure that the right decisions are made before deployment phase . p
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