Deep Collaboration with AMD: The GPT-Station AI Super Mobile Terminal

At CES 2026, KunlunMeta unveiled the revolutionary GPT-Station AI Super Mobile Terminal, a product born from its strategic collaboration with AMD. This device seamlessly merges KunlunMeta's powerful multi-agent productivity platform with the impressive energy efficiency of the AMD Ryzen™ AI MAX+395 chip. The objective is to shift professional-grade AI computing power from traditional desktops to portable devices, making it accessible for users on the go.

As KunlunMeta's inaugural global mobile device featuring a complete Multi-Agent Collaborative Operating System, the terminal allows users to interact with their own "portable team" of AI agents specialized in various fields, such as research, content creation, and programming, without requiring a cloud connection. Through intuitive natural language commands, users can efficiently complete complex tasks, including:

• Drafting market analysis reports
• Generating and debugging code
• Creating multi-modal content

This innovative approach is supported by KunlunMeta’s self-developed KunlunKVS engine and optimized for the AMD Ryzen™ AI MAX+395, ensuring consistent high performance even in a compact format.

Transforming AI Applications: From Cloud to Edge

The collaboration between KunlunMeta and AMD signifies a pivotal transition in generative AI applications from "cloud-assisted" models to "edge-centric" solutions. The GPT-Station AI Super Mobile Terminal facilitates complete local data processing and privacy protection, allowing professionals—ranging from journalists to engineers—to benefit from a full AI productivity ecosystem whether they are on business trips or working remotely.

This device represents a transformative shift, evolving beyond a mere tool to become a portable "digital think tank" and "collaboration hub." It promises to revolutionize the workflow of high-end professionals, ushering in a new era of mobile AI productivity.

KunlunMeta’s Full-Stack Technical Innovation

As the global AI landscape becomes increasingly competitive, KunlunMeta is emerging as a key player, showcasing impressive full-stack independent R&D capabilities. This depth in research and development—from foundational infrastructure to advanced applications—reflects a shift in Chinese AI from followers to industry innovators.

KunlunMeta’s pioneering TransformerX algorithm significantly boosts efficiency by reducing memory usage in large model training by 80% and inference latency by 78%. Furthermore, the company's ScaleFusionMoS model provides a remarkable single-card capability for processing ultra-long contexts, surpassing many leading international models in crucial performance metrics.

Impact and Investment in the AI Ecosystem

KunlunMeta's role in defining the AI ecosystem is becoming increasingly substantial. As one of the first AI companies in China to receive full-stack certification for Huawei Ascend, KunlunMeta is deeply involved in cultivating the domestic computing power landscape. The firm's innovative AI Training-Inference Integrated Machine hardware has been adopted across pivotal sectors, including government, healthcare, and manufacturing.

At the investment level, significant backing has come from the Jiushong Shanhe Fund—established by the notable Guan Jinsheng, known as the "Godfather of China’s Securities"—as well as industry leaders such as CRRC Times Investment and Aeonmed Medical. This support forms a robust network that integrates technology, industry, and capital.

A New Era in AI Innovation

Determined to tackle underlying computing challenges and set new standards for integrated hardware-software products, KunlunMeta's journey illustrates a transformative principle: in the AGI era, full-stack technical depth and open collaborative capabilities are essential to participating in and shaping industry frameworks.

This achievement is not just a milestone for a single company, but an indicator of the profound evolution occurring within China's AI innovation mindset, highlighting KunlunMeta’s pivotal role in the next generation of technology.