AI / ML IN-MEMORY DATABASES
Achieving better performance Having data centres that are alive , kicking and potent will be crucial if businesses are to handle growing workloads while delivering exceptional user experiences .
The traditional way to enhance data centre performance is through hardware upgrades , more powerful servers , greater storage capacity and faster networking solutions . All provide a temporary boost in capabilities but it ’ s an approach that can chew through time and money at an alarming rate , especially for large-scale data centres . The initial outlay can strain budgets and impact overall financial health .
Then there are the implementation delays . Ordering , receiving and installing new hardware can take weeks or even months – downtime that results in costly productivity hits in a market where margins are constantly being eroded by cost inflation , especially for energy .
“ Buying increasingly expensive equipment is not a sustainable long-term solution ,” says Overton . “ The need for memory expands quadratically for large-scale AI . So what do you do ? Do you keep buying increasingly expensive hardware ? We ’ ve got 50 years of experience to show that approach doesn ’ t work .”
He adds : “ Every aspect of computing – computation , storage , hardware and software – has been virtualised , except for memory … until now .
“ But when you look at the cost , latency , speed , performance and environmental
86 June 2024