{"id":15958,"date":"2022-10-04T22:22:08","date_gmt":"2022-10-05T02:22:08","guid":{"rendered":"https:\/\/d3.harvard.edu\/platform-digit\/?post_type=hck-submission&p=15958"},"modified":"2022-10-04T22:22:08","modified_gmt":"2022-10-05T02:22:08","slug":"nintendo-nvidia-applying-machine-learning-to-disrupt-the-value-chain","status":"publish","type":"hck-submission","link":"https:\/\/d3.harvard.edu\/platform-digit\/submission\/nintendo-nvidia-applying-machine-learning-to-disrupt-the-value-chain\/","title":{"rendered":"Nintendo + Nvidia: Applying Machine Learning to Disrupt the Value Chain"},"content":{"rendered":"\n\n\n

Company Background and Problem Introduction<\/h2>\n\n\n\n

Not many can fault Nintendo for lack of innovation \u2013 of the 10 best selling video game consoles of all time, five belong to the Japanese giant, with standout mentions going to the Wii (101.6 MM units) as the 7th<\/sup> best-selling console and the Switch (111 MM units) as the 5th<\/sup> best-selling console. However, much of what has made these consoles so attractive for gamers \u2013 novel incorporation of full-body motion and full portability \u2013 usually comes at the cost of lower graphical fidelity or a sacrifice in frame rates per second (FPS), two attributes that are usually key drivers of console and game title purchases. These non-consequential tradeoffs usually split Nintendo\u2019s addressable market, since many \u201ccore\u201d gamers will forgo a lower-resolution adventure with a spunky Italian plumber for a more visually immersive experience that involves shooting life-like bullets at beautifully rendered space aliens.<\/p>\n\n\n

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The graphics comparison starkly favors PlayStation’s machines vs. Nintendo’s in FIFA 2021<\/figcaption><\/figure>\n<\/div>\n\n\n

<\/p>\n\n\n\n

The Introduction of Machine Learning<\/h2>\n\n\n\n

That might all change with Nintendo\u2019s latest announcement that a new, Nintendo Switch Pro, empowered with an Nvidia-produced DLSS 3.0 graphics card, might be in the works for 2022. DLSS stands for deep learning super sampling, and it allows machines that don\u2019t have the physical space for large graphics cards to produce high-resolution images without taxing visual performance (i.e., FPS) to a crawl. Nvidia achieves this by first training its AI models with high-resolution scans, so the AI knows what a stunning resolution \u201cshould\u201d look like. After training the AI, it is calibrated so it can match high-end resolutions with low-end inputs. Putting it all together, DLSS then samples multiple lower resolution images and uses motion data and feedback from prior frames to reconstruct native quality images. As the AI reconstructs the image, its effectively \u201cfilling in the gaps\u201d that exist between the low-quality input and the desired high-quality native output. The best part is DLSS does all of this offline, which frees up the GPU to produce more FPS, rather than visual fidelity. As a KPI, this improves FPS by as much as 50% — a staggering lift that was previously only possible by OEM\u2019s making costly investments in larger and clunkier GPUs.<\/p>\n\n\n\t\t

\n\t\t\t
\n\t\t\t\t<\/div>\n\t\t\t<\/figure>\n\t\n\t\t\t\t\t\t\t
\n\t\t\t\t\t
Here, we can see the algorithm begin to apply texture resolution as it “learns” from the native training stimulus<\/figcaption>\t\t\t\t<\/figcaption>\n\t\t\t\t\t<\/div>\n\t\t\n\n
\n
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Flight Simulator — one of Microsoft’s most popular titles — is notorious for being taxing on GPUs and FPS; here, we see DLSS rendering an almost identical presentation while outputting a ~100% increase in FPS<\/figcaption><\/figure>\n<\/div>\n\n\n

Supply Advantages for Nintendo<\/h2>\n\n\n\n

This would provide tremendous strategic opportunity to Nintendo, from both a supply and demand perspective. On the supply side: first, by removing the previous graphical barrier to entry that has plagued Nintendo\u2019s machines for years, it incentivizes game studios to design with Nintendo\u2019s hardware in mind, which would accommodate same day console releases for the Switch (usually, ports to the Switch come months after a title\u2019s original release on other platforms), a key factor in driving unit sales on a given platform. Second, it frees up Nintendo to continue innovating with its hardware design, already one of Nintendo\u2019s core competencies. Third, as consumers clamor for better graphics, it reduces expenditures in the short and long term, as more powerful GPUs are more costly for OEMs to implement. Tangentially, it would also give Nintendo tighter control over its own vertical integration, as software updates can be remotely applied to the ML-enabled chip by Nvidia, meaning Nintendo would invest less capital and manpower to update its hardware production facilities.<\/p>\n\n\n

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Less restrictions around the hardware frees up software partners to begin designing content with Nintendo consoles in mind, as opposed to having them as an afterthought.<\/figcaption><\/figure>\n<\/div>\n\n\n

Demand Opportunities for Nintendo<\/h2>\n\n\n\n

On the demand side: by boosting the Switch\u2019s ability to render games at a high-resolution, Nintendo can now pursue demanding, competitive-minded \u201ccore gamers\u201d that were previously out of reach. While this was previously unheard of, (the garden walls that once separated Xbox players from playing with PlayStation players led to tightly entrenched platform fanatics), as more and more games are being released with platform-agnostic, cross-play functionality (i.e., anyone with a copy of the game can play with anyone else), the choice of which console to buy a game for has become largely a hardware question. As DLSS narrows the performative gap between consoles, we would expect to see more Call of Duty players on a Switch than we\u2019ve seen before. In addition to reaching disparate audiences, DLSS also enables Nintendo to deliver a more compelling value proposition to its current target customers. While all game developers and OEMs would benefit from DLSS, Nintendo is in a better position to extract value because it boasts a wide assortment (arguably, the widest) of highly sought-after console-exclusives. Right now, PlayStation is the largely undisputed paragon of providing fully immersive, beautiful single player experiences. If Nintendo can fully harvest DLSS, it can provide the same immersive experiences boasted by PlayStation\u2019s titles, but because it has more valuable intellectual properties in its portfolio, it can compete at a higher level.<\/p>\n\n\n

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Nintendo has some of the most recognizable franchises, and some of gaming’s most beloved characters — DLSS would allow Nintendo to push its immersive content even further. <\/figcaption><\/figure>\n<\/div>\n\n\n

Sources:<\/p>\n\n\n\n

https:\/\/www.nvidia.com\/en-us\/geforce\/technologies\/dlss\/<\/a><\/p>\n\n\n\n

https:\/\/www.tweaktown.com\/news\/80647\/switch-4k-nintendo-has-been-spending-on-deep-learning-since-2019\/index.html<\/a><\/p>\n\n\n\n

https:\/\/www.digitaltrends.com\/computing\/everything-you-need-to-know-about-nvidias-rtx-dlss-technology\/#:~:text=DLSS%20forces%20a%20game%20to,TAA)%20and%20some%20automated%20sharpening.<\/a><\/p>\n\n\n\n

https:\/\/www.theverge.com\/2021\/3\/26\/22348095\/nintendo-switch-nvidia-dlss-graphics-ai-explained<\/a><\/p>\n\n\n\n

https:\/\/en.wikipedia.org\/wiki\/List_of_best-selling_game_consoles<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Nintendo’s application of machine learning to its handheld gaming device breaks down supply barriers and opens strategic opportunities.<\/p>\n","protected":false},"author":19341,"featured_media":15965,"comment_status":"open","ping_status":"closed","template":"","categories":[],"class_list":["post-15958","hck-submission","type-hck-submission","status-publish","has-post-thumbnail","hentry"],"connected_submission_link":"https:\/\/d3.harvard.edu\/platform-digit\/assignment\/competing-with-data-3\/","yoast_head":"\nNintendo + Nvidia: Applying Machine Learning to Disrupt the Value Chain - Digital Innovation and Transformation<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/d3.harvard.edu\/platform-digit\/submission\/nintendo-nvidia-applying-machine-learning-to-disrupt-the-value-chain\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Nintendo + Nvidia: Applying Machine Learning to Disrupt the Value Chain - 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