Indian AI cloud and GPU-as-a-service companies such as Neysa, ref=”dofollow” data-ga-onclick=”Inarticle articleshow link click#Tech#href” href=”https://economictimes.indiatimes.com/topic/jarvislabs” target=”_blank”>JarvisLabs and ref=”dofollow” data-ga-onclick=”Inarticle articleshow link click#Tech#href” href=”https://economictimes.indiatimes.com/topic/neevcloud” target=”_blank”>NeevCloud are altering strategies as AI market dynamics shift. While ref=”dofollow” data-ga-onclick=”Inarticle articleshow link click#Tech#href” href=”https://economictimes.indiatimes.com/topic/neysa” target=”_blank”>Neysa continues to invest in advanced GPUs to double down on ref=”dofollow” data-ga-onclick=”Inarticle articleshow link click#Tech#href” href=”https://economictimes.indiatimes.com/topic/inferencing” target=”_blank”>inferencing, others such as JarvisLabs and NeevCloud are taking a step back and not buying any more GPUs. Instead, they are focusing on building the software stack.The reasons for this range from low utilisation of high-end GPUs, high capital investment required for purchasing them and better and cheaper access to such chips in recent times. In…
