Arm, the UK‑based semiconductor and software design firm, recently staged its Arm Everywhere China showcase in Shanghai, where it rolled out a suite of fresh AI‑computing solutions aimed at the mobile market. Central to the announcement was a new AI‑centric compute platform, CSS for Mobile 2, and the Mali G2‑Ultra NX graphics processor – a GPU built around neural‑accelerator cores that promises higher visual fidelity while keeping heat and power draw to a minimum. Arm positions its on‑device AI‑driven graphics pipeline as a more transparent alternative to Nvidia’s controversial DLSS 5, aligning more closely with developers’ original creative intent. While Arm did not disclose the exact devices that will ship with the Mali G2‑Ultra NX, the predecessor Mali G1‑Ultra has already found its way into smartphones from brands such as Xiaomi, Vivo and OnePlus, suggesting a similar rollout path for the new silicon.
Deyan Lazarov, a member of Arm’s GPU product team within the Edge AI division, explained that the Mali G2‑Ultra NX has been in development for roughly two and a half years. Its design goal is to give mobile developers access to compute‑heavy features—most notably real‑time ray tracing—without sacrificing the battery life or thermal envelope that smartphones demand. "We’re seeing a growing appetite for ray tracing in mobile games," Lazarov noted.
"It was a slow start, but more titles are now actively exploring how to integrate it." Earlier this year, GamesIndustry.biz reported that the new GPU supports Unreal Engine capabilities such as MegaLights, and Arm collaborated with Sumo Digital to produce a demo title called *Neural Dawn* that showcases the chip’s capabilities. Lazarov emphasized that the chip targets "mobile‑first" games that still aspire to look like desktop experiences. He added that many modern titles are built cross‑platform from the ground up, meaning players expect a consistent visual quality whether they’re on a console at home or a phone on a train.
To meet those expectations, Arm’s solution blends neural processing with the traditional rendering pipeline, offloading a significant portion of the workload from the GPU to dedicated neuro‑accelerators. This not only cuts GPU power consumption but also eases system‑level constraints, giving developers more headroom to pursue visual fidelity, performance, or battery life as they see fit. The Mali G2‑Ultra NX is already slated for use in games such as Tencent’s *Arena Breakout Infinite*, NetEase’s *Where Winds Meet*, and Infold Games’ *Infinity Nikki*. Lazarov highlighted the unique thermal and power challenges of phones compared with consoles or PCs: "A phone can’t dissipate heat the way a console can, and it runs on a battery constantly." By integrating AI‑driven upscaling and denoising directly into the rendering flow, the chip can render a fraction of the native resolution and let the neural engines reconstruct the remaining pixels, dramatically reducing the amount of work the GPU must perform.
Arm backs this hardware with an open‑software philosophy. Over the past two years, the company has been building a suite of developer tools that expose its AI models publicly on platforms like GitHub and Hugging Face. Lazarov explained that Arm’s networks are convolutional rather than generative, meaning they don’t invent new content but rather learn how existing content should look. Because the models are open, developers can fine‑tune them with data from their own games, preserving artistic intent and intellectual‑property control.
This openness starkly contrasts with Nvidia’s DLSS 5, which Lazarov describes as a proprietary “black box.” DLSS’s generative networks can introduce details that deviate from a developer’s vision, and the model cannot be retrained with custom data. Arm’s approach, by contrast, lets developers download the base network, retrain it on their own art style, and then integrate a version that respects their unique visual language. Moreover, Arm designed its AI pipelines with mobile constraints in mind—power, bandwidth, and memory limits are baked into the network architecture, something that would be impossible for a desktop‑oriented solution like DLSS to meet on a smartphone. Performance figures underscore the efficiency gains.
Arm claims up to four times the performance and efficiency of its predecessor, alongside a 70 % reduction in DRAM traffic—a major source of power draw on mobile devices. In a head‑to‑head test, the older GPU could only push *Neural Dawn* to about 40 fps at its limit and fell to roughly 15 fps under normal conditions, whereas the new Mali G2‑Ultra NX comfortably sustains 60 fps.
From a tooling perspective, Arm currently offers Unreal Engine plug‑ins and is working on Unity support, having recently announced a partnership with Unity China. For developers using custom engines, Arm provides an SDK that streamlines integration without requiring a full plug‑in. Lazarov noted that retrofitting an existing shipped title with Arm’s AI‑native graphics can take as little as three months, enabling rapid upgrades to visual quality or efficiency.
The *Neural Dawn* demo itself was built by a small team—fewer than 20 people—in under 18 months, illustrating how Arm’s technology can accelerate development cycles. By handling much of the heavy lifting in AI‑based upscaling, frame‑rate generation, and denoising, the platform lets studios focus on gameplay and artistic direction rather than low‑level optimization.
In summary, Arm’s mobile‑first AI reconstruction strategy offers an open, developer‑friendly alternative to Nvidia’s closed DLSS 5. By marrying neural accelerators with traditional rendering, the Mali G2‑Ultra NX delivers higher frame rates, lower power consumption, and the flexibility for studios to retain creative control over their visual output, all while fitting within the stringent thermal and battery constraints of modern smartphones.