![]() Casual users will let GFE go with whatever it thinks are the best settings, and as long as NVIDIA has done their profiling right users will get the best mix of quality at an appropriate framerate. I’ve noticed that they do have a preference for FXAA and other pseudo-AA modes over real AA modes like MSAA, but at this point that’s probably a losing battle on my part given the performance hit of MSAA.įor casual users NVIDIA is expecting this to be a one-stop solution. NVIDIA’s settings are overall reasonable, and more often than not have closely matched the settings we use for benchmarking. The big question of course is whether GFE’s settings are any good, and in short the answer is yes. All of this is done through a relatively straightforward UI, which lists the detected games, the games’ current settings, and NVIDIA’s suggested settings. The GFE client has a number of features (which we’ll get into in a moment), but for the purposes of GFE its primary role is to find games on a user’s computer, pull optimal settings from NVIDIA, and then apply those settings as necessary. Moving on, all of this feeds into NVIDIA’s GFE backend service, which in turn feeds the frontend in the form of the GFE client. ![]() This means that it’s not entirely a human-free experience, but having a handful of engineers writing test cases and assigning weights is a much more productive use of time than having humans test everything by hand like it was for OPS. What’s left for humans is writing test cases for new games, something again necessary for driver/regression testing, and then identifying which settings are more desirable from a quality perspective so that those can be weighted and scored in the benchmarking process. Rather than regression testing and looking for errors, NVIDIA’s GPU farms can iterate through various settings on various GPUs in order to find the best combination of settings that can reach a playable level of performance.īy iterating through the massive matrix of settings most games offer, NVIDIA’s GPU farms can do most of the work required. NVIDIA already operates large GPU farms in order to test drivers, a process that isn’t all that different from what they would need to do to automate the search for optimal settings. From a business perspective this makes great sense for NVIDIA as they already have the critical component for such a service, the hardware. NVIDIA’s solution of choice is to take on most of this work themselves, and then move virtually all of it to automation. Simply put, it doesn’t do NVIDIA any good if a graphical showcase game like Crysis 3 selects the lowest quality settings because it doesn’t know what a GTX 780 is. Meanwhile with auto-detection built-in to games the quality of the recommendations is not a particular issue, but most games based their automatic settings around a list of profiles, which means most built-in auto-detection routines were fouled up by newer hardware. That process is of course slow, making it hard to cover a wide range of hardware and to get settings out for new games in a timely manner. With OPS NVIDIA was essentially writing out recommended settings by hand based on human play testing. The difference between those implementations and GFE comes down to who’s doing the work of figuring this out, and how much work is being done. The concept itself is not new, as games have auto-detected hardware and tried to set appropriate settings, and even NVIDIA has toyed with the concept before with their Optimal Playable Settings (OPS) service. So what is GeForce Experience? GFE is in a nutshell NVIDIA’s game settings advisor. Never the less, there is a light at the end of the tunnel and with version 1.5, GeForce Experience is finally out of beta and is being qualified as release quality. The actual rollout of GeForce Experience was slower than NVIDIA projected, having gone from an announcement to a final release in just over a year. You may remember GeForce Experience from the launch of the GTX 690, which is when GeForce Experience was first announced. The first item on the list is GeForce Experience, NVIDIA’s game settings advisor. ![]() To that end the products launching today are essentially a spearhead as part of a larger NVIDIA software ecosystem. ![]() As a result the company has taken on several software initiatives over the years, both on the consumer side and the business side. Though they are (and always will be) fundamentally a hardware company, NVIDIA has been finding that software is increasingly important to the sales of their products. Software: GeForce Experience, Out of BetaĪlong with the launch of the GTX 780 hardware, NVIDIA is also using this opportunity to announce and roll out new software. ![]()
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