# Expert Brand-Trained AI Models 'ZAYA1' Was Trained to Run Specifically on AMD GPUs By Colin Smith | Published 2025-11-28 | Tech Source: Trend Hunter, https://www.trendhunter.com/trends/zaya1-ai References: [artificialintelligence-news](https://www.artificialintelligence-news.com/news/zaya1-ai-model-using-amd-gpus-for-training-hits-milestone/) & [ir.amd](https://ir.amd.com/news-events/press-releases/detail/1268/amd-powers-frontier-ai-training-for-zyphra)  [Zyphra](https://www.trendhunter.com/trends/zyphra-zonos) describes ZAYA1‑base as a Mixture‑of‑Experts (MoE) foundation model trained on an integrated [AMD](https://www.trendhunter.com/trends/amd-gaia) platform; the training run used AMD Instinct MI300X GPUs, AMD Pensando Pollara AI NICs, and the ROCm software stack, and Zyphra published a technical report detailing system design and optimizations for the AMD environment. The project is presented as a demonstration that a production‑scale training pipeline can be implemented without [NVIDIA](https://www.trendhunter.com/trends/instinct-mi300x) components, with emphasis on cluster configuration, software tuning, and end‑to‑end validation on AMD hardware. The ZAYA1‑base configuration is reported to include approximately 760 million active parameters and 8.3 billion total parameters, and Zyphra’s published benchmarks indicate competitive performance on reasoning, mathematics, and coding tasks relative to several contemporary open models. Coverage from industry outlets and vendor materials frames the milestone as evidence of increased diversity in accelerator and networking options for large‑scale AI development, while noting that broader performance comparisons depend on workload, model class, and independent evaluation. Image Credit: Summit Art Creations / Shutterstock.com ## Trend Insights (Trend Hunter) - Score: 5.4/10 - Popularity: 50% | Activity: 58% | Freshness: 55% - Audience gender: 90% men, 10% women - Primary generations: Millennial, Gen X - Top markets: North America, South America, Europe, Asia, Africa ## Categories [Trend Hunter](https://www.trendhunter.com/trends) > [Tech](https://www.trendhunter.com/tech) > [AI](https://www.trendhunter.com/ai) ## Key Themes ### Key Themes Behind This Trend - **Mixture-of-experts AI Models:** The rise of MoE models like ZAYA1 highlights a move towards more versatile and efficient AI systems capable of improving performance through specialization across diverse tasks. - **Non-nvidia AI Hardware Platforms:** The successful training on AMD hardware reflects a growing shift towards alternative platforms beyond NVIDIA, fostering competition and innovation in AI hardware development. - **Open Model Benchmarking:** Competitive performance metrics for models such as ZAYA1 emphasize the importance of standardized benchmarking, which drives the improvement and adoption of open AI models. ### Where This Applies - **Semiconductor Industry:** As demand for AI accelerators diversifies, companies in the semiconductor sector are poised to develop novel GPUs that cater to specific model requirements and outperform traditional options. - **Artificial Intelligence Development:** AI development firms benefit from utilizing varied hardware platforms, which leads to innovative approaches and custom solutions tailored to model-specific needs. - **Information Technology Services:** The focus on optimizing complex AI systems for non-NVIDIA platforms creates opportunities for IT service companies to specialize in system integration and performance optimization. ## Related on Trend Hunter - [AI-Powered NAS Systems](https://www.trendhunter.com/trends/minisforum-n5-ai-nas.md) - [High-Level Computing Processors](https://www.trendhunter.com/trends/ryzen-9-pro-9945.md) - [Open-Source Local AI Models](https://www.trendhunter.com/trends/amd-gaia.md) - [Integrated GPU Graphics Cards](https://www.trendhunter.com/trends/ryzen-9000g.md) - [AI-Powered Research Data Platforms](https://www.trendhunter.com/trends/aipowered-research-data-platform.md) - [Open AI Ecosystem Conceps](https://www.trendhunter.com/trends/open-ai-ecosystem.md) - [AI-Focused Mainframe System Designs](https://www.trendhunter.com/trends/mainframe-system.md) - [AI Product Ecosystem Expansions](https://www.trendhunter.com/trends/beyond-edge.md) - [AI Edge Processing GPUs](https://www.trendhunter.com/trends/e-series-gpus.md)