{"id":1885,"date":"2025-02-17T03:02:38","date_gmt":"2025-02-17T03:02:38","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/02\/17\/why-businesses-can-t-afford-to-wait-on-slow-data-867631499\/"},"modified":"2025-02-17T03:02:38","modified_gmt":"2025-02-17T03:02:38","slug":"why-businesses-can-t-afford-to-wait-on-slow-data-867631499","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/02\/17\/why-businesses-can-t-afford-to-wait-on-slow-data-867631499\/","title":{"rendered":"Why businesses can’t afford to wait on slow data"},"content":{"rendered":"\n
Why businesses can’t afford to wait on slow data<\/div>\n

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Data doesn\u2019t just power Australia\u2019s businesses \u2014 it defines their potential. But for many organisations, that potential is stuck in neutral, hindered by outdated infrastructure that forces data to crawl instead of sprint.<\/p>\n

Here\u2019s the acronym-laden problem: traditional systems route data through central processing units (CPUs), creating a chokepoint in environments where graphics processing units (GPUs) \u2014 specialised for high-speed processing \u2014 should be in the driver\u2019s seat.<\/p>\n

It\u2019s an approach that worked in the past, but today it\u2019s akin to running Formula 1 cars on a bush road. GPUDirect storage (GDS), pioneered by NVIDIA, could see this change, bypassing the CPU entirely and allowing data to flow directly between storage and GPU memory. The result? Faster, more efficient operations that redefine what\u2019s possible in AI, machine learning and real-time analytics.<\/p>\n

Stuck in the data slow lane<\/h4>\n

The brilliance of GDS lies in its simplicity. GDS cuts out the middleman (your CPU) and allows data to flow directly between storage systems and GPU memory. No detours, no delays; just faster, smarter, cheaper data movement.<\/p>\n

This matters because GPUs are the workhorses behind AI and machine learning, and they thrive on speed and efficiency. But traditional data pipelines force them to wait for the CPU to play traffic cop, slowing down everything from model training to real-time decision-making. GDS eliminates that bottleneck. It\u2019s like building an express train that skips all the stops, delivering data exactly where it\u2019s needed, faster and with less energy wasted.<\/p>\n

For Australian enterprises, this isn\u2019t just about keeping up with the tech curve: it\u2019s about survival. High-performance computing (HPC) applications, from climate modelling to genomics, need faster data access to make discoveries that save lives. In finance, milliseconds can mean millions in algorithmic trading. In telecommunications, real-time analytics determine who stays connected and who doesn\u2019t. The question isn\u2019t whether businesses need faster data, but rather why they aren\u2019t investing in it already.<\/p>\n

The level of data storage, processing and management within the realm of AI compared to the pre-AI era changes the economies-of-scale equation too. Many companies have been apathetic on leaving data stored in an environment slightly more expensive or less ideal in another way \u2014 the juice of the migration just might not have been worth the squeeze. The exponential data footprint of AI also exponentially changes those equations.<\/p>\n

Waiting to modernise comes at a cost. The longer businesses rely on CPU-bound systems for this use, the harder it will be to compete with those embracing technologies like GDS. It\u2019s not just a technological edge, and companies that adopt GDS aren\u2019t just futureproofing; they\u2019re unlocking capabilities that were previously out of reach.<\/p>\n

Outrun the competition or get left behind<\/h4>\n

The beauty of GDS is that it doesn\u2019t require businesses to start from scratch. It integrates seamlessly with existing data storage infrastructures, making the transition relatively painless. Think of it as upgrading from Fibre to the Node to Fibre to the Premises: the infrastructure is already there; you just need to make the switch.<\/p>\n

And the gains aren\u2019t just theoretical. Benchmarks show<\/a> that GDS is able to provide faster processing times, reduced costs and less energy consumption. For businesses trying to meet sustainability goals while improving performance and reducing budget, GDS offers a rare triple-win scenario.<\/p>\n

The real story here, as it always should be, isn\u2019t about the technology; it\u2019s about the opportunities it creates. Imagine a future where data-intensive industries aren\u2019t held back by the limits of their infrastructure. Where research breakthroughs happen faster, financial insights are more precise, and innovations reach the market in record time. GPUDirect Storage isn\u2019t just a tool; it\u2019s a catalyst for change.<\/p>\n

In a world that runs on speed, there\u2019s no excuse for being stuck in the slow lane. Australian businesses that continue to tolerate inefficiency are making a choice \u2014 and it\u2019s the wrong one.<\/p>\n

*James Wright is Managing Director \u2013 Asia Pacific & Japan\u00a0at Cloudian<\/a>.<\/em><\/h8><\/p>\n

Image credit: iStock.com\/Andy<\/h9><\/p>\n<\/div>\n

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Why businesses can’t afford to wait on slow data Data doesn\u2019t just power Australia\u2019s businesses \u2014 it defines their potential. But for many organisations, that potential is stuck in neutral, hindered by outdated infrastructure that forces data to crawl instead of sprint. Here\u2019s the acronym-laden problem: traditional systems route data through central processing units (CPUs), […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[44],"tags":[48],"class_list":["post-1885","post","type-post","status-publish","format-standard","hentry","category-technology-decisions","tag-technology-decisions"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/1885"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=1885"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/1885\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=1885"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=1885"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=1885"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}