As a result, cloud rendering servers often face utilization issues due to the need to plan for peak demand. A cloud gaming service in the Cleveland area might need 75,000 dedicated servers at 8 pm on Sunday night, but only 4,000 at 4 am on Monday morning. As a consumer, you can buy a $400 GPU and leave it offline, but the economics of data centers are geared toward optimizing for demand.
That’s why AWS offers customers a discount if they rent servers from Amazon in advance “reserved instances”. Customers are guaranteed access for the next year because they’ve already paid for the servers, and Amazon is pocketing the difference between its costs and the customer’s price AWS’s cheapest Linux GPU reserved instance, the equivalent of a PS4, costs more than $2,000 a year. If customers want access to servers when they need them “spot instances”, they may find that they’re unavailable, or that only lower-end GPUs are available, or that only GPUs from other regions are available, which means greater latency.
The price of cloud servers for reserved instances will increase uganda mobile database profitable, and renting high-end GPUs with low utilization will always be expensive. In addition, data centers will generate a lot of heat, which requires expensive energy to cool, and the shift from cloud streaming data to high-resolution, high-frame rate content will also mean higher bandwidth costs. Both of these expenses are additional compared to local computing.
The bottom line is that consumer processors are improving much faster than the network. This growth won’t alleviate all network challenges, but it suggests that we’re better off asking client devices to do more computation rather than sending massive video streams to those devices. This may change over time, but Sweeney’s Law looks likely to hold true for the foreseeable future.