# High Performance

EmaFusion? is an innovative AI model that integrates over 100 foundation and specialized models to deliver the highest accuracy at the lowest cost and latency. Tailored for enterprises, it ensures secure, efficient, and scalable AI applications with built-in fault tolerance and customized controls. EmaFusion? is designed to boost the efficiency of AI applications and is suitable for a wide range of business needs.

Skywork-OR1 is a high-performance mathematical code reasoning model developed by Kunlun Wanwei's Tiangong team. This model series achieves industry-leading inference performance with comparable parameter scales, breaking through the bottleneck of large models in logical understanding and complex task solving. The Skywork-OR1 series includes three models: Skywork-OR1-Math-7B, Skywork-OR1-7B-Preview, and Skywork-OR1-32B-Preview, focusing on mathematical reasoning, general reasoning, and high-performance reasoning tasks, respectively. This open-source release not only includes model weights but also fully opens the training dataset and complete training code. All resources have been uploaded to GitHub and Hugging Face, providing the AI community with a fully reproducible practical reference. This comprehensive open-source strategy helps to promote the common progress of the entire AI community in reasoning ability research.

Smallpond is a high-performance data processing framework designed for large-scale data processing. Built on DuckDB and 3FS, it can efficiently handle petabyte-scale datasets without requiring long-running services. Smallpond provides a simple and easy-to-use API, supporting Python 3.8 to 3.12, making it ideal for data scientists and engineers to quickly develop and deploy data processing tasks. Its open-source nature allows developers to freely customize and extend its functionality.

DualPipe is an innovative bidirectional pipeline parallel algorithm developed by the DeepSeek-AI team. By optimizing the overlap of computation and communication, this algorithm significantly reduces pipeline bubbles and improves training efficiency. It performs exceptionally well in large-scale distributed training, especially for deep learning tasks requiring efficient parallelization. DualPipe is developed based on PyTorch, easy to integrate and extend, and suitable for developers and researchers who need high-performance computing.

PaliGemma 2 mix is an upgraded vision language model from Google, belonging to the Gemma family. It can handle various vision and language tasks, such as image segmentation, video captioning, and scientific question answering. The model provides pre-trained checkpoints in different sizes (3B, 10B, and 28B parameters), making it easy to fine-tune for a variety of visual language tasks. Its main advantages are versatility, high performance, and developer-friendliness, supporting multiple frameworks (such as Hugging Face Transformers, Keras, PyTorch, etc.). This model is suitable for developers and researchers who need to efficiently process vision and language tasks, significantly improving development efficiency.

FireRedASR-AED-L is an open-source, industrial-grade automatic speech recognition model designed to meet the needs for high efficiency and performance in speech recognition. This model utilizes an attention-based encoder-decoder architecture and supports multiple languages including Mandarin, Chinese dialects, and English. It achieved new record levels in public Mandarin speech recognition benchmarks and has shown exceptional performance in singing lyric recognition. Key advantages of the model include high performance, low latency, and broad applicability across various speech interaction scenarios. Its open-source feature allows developers the freedom to use and modify the code, further advancing the development of speech recognition technology.

Webdone is an AI-driven tool for generating websites and landing pages, designed to help users quickly create and publish high-quality web pages. It automatically generates layouts and designs using AI technology, supports the Next.js framework, and can quickly build high-performance web pages. Key advantages include no coding skills required, rapid page generation, highly customizable options, and optimized SEO performance. Webdone is ideal for independent developers, startups, and users who need to rapidly build web pages, offering a range of choices from free trials to paid premium features.

MNN is a deep learning inference engine open-sourced by Alibaba's Taobao technology platform, supporting popular model formats such as TensorFlow, Caffe, and ONNX, while being compatible with commonly used networks like CNN, RNN, and GAN. It achieves exceptional optimization of operator performance and fully supports CPU, GPU, and NPU, maximizing device computing power and widely applied in over 70 AI applications within Alibaba. MNN is recognized for its high performance, ease of use, and versatility, aiming to lower the threshold for AI deployment and promote edge intelligence development.

Gemini 2.0 signifies a significant advancement in generative AI from Google, representing state-of-the-art artificial intelligence technology. With its robust language generation capabilities, it offers efficient and flexible solutions for developers, suitable for a variety of complex scenarios. Key advantages of Gemini 2.0 include high performance, low latency, and a simplified pricing strategy aimed at reducing development costs and boosting productivity. This model is provided via Google AI Studio and Vertex AI and supports multiple modality inputs, showcasing vast application potential.

Gemini Pro is one of the most advanced AI models launched by Google DeepMind, specifically designed for complex tasks and programming scenarios. It excels in code generation, complex instruction understanding, and multimodal interaction, supporting text, image, video, and audio inputs. Gemini Pro offers powerful tool-calling capabilities, such as Google Search and code execution, and can handle context information of up to 2 million words, making it ideal for professional users and developers who require high-performance AI support.

DeepClaude is a powerful AI tool designed to combine the inference capabilities of DeepSeek R1 with Claude's creativity and code generation abilities. It provides services through a unified API and chat interface, utilizing a high-performance streaming API (written in Rust) for instant responses, while supporting end-to-end encryption and local API key management to ensure user data privacy and security. The product is fully open-source, allowing users to freely contribute, modify, and deploy. Its main advantages include zero latency responses, high configurability, and support for bring-your-own-key (BYOK), providing developers with exceptional flexibility and control. DeepClaude targets developers and enterprises needing efficient code generation and AI inference capabilities, currently in a free trial phase with potential future usage-based pricing.

The Galaxy S25 represents the cutting edge of current smartphone technology. It is powered by a custom Snapdragon 8 Elite for Galaxy processor, delivering exceptional performance that meets the diverse demands of everyday use, gaming, and multitasking. This device also features advanced AI technology, such as Galaxy AI, which supports task completion through natural language processing, enhancing the user experience. With multiple color options, a stylish design, and strong durability, the Galaxy S25 is perfect for those who seek high performance and intelligence in their devices.

DeepSeek-R1-Distill-Qwen-32B, developed by the DeepSeek team, is a high-performance language model optimized through distillation based on the Qwen-2.5 series. The model has excelled in multiple benchmark tests, especially in mathematical, coding, and reasoning tasks. Its key advantages include efficient inference capabilities, robust multilingual support, and open-source features facilitating secondary development and application by researchers and developers. It is suited to any scenario requiring high-performance text generation, such as intelligent customer service, content creation, and code assistance, making it versatile for various applications.

FlexRAG is a flexible and high-performance framework for Retrieval-Augmented Generation (RAG) tasks. It supports multimodal data, seamless configuration management, and out-of-the-box performance, making it suitable for research and prototyping. Written in Python, it combines lightweight design with high performance, significantly improving the speed of RAG workflows and reducing latency. Key advantages include support for multiple data types, unified configuration management, and ease of integration and extension.

YuLan-Mini is a lightweight language model developed by the AI Box team at Renmin University of China. With 240 million parameters, it achieves performance comparable to industry-leading models trained on larger datasets, despite using only 1.08 terabytes of pre-trained data. The model excels in mathematics and coding domains, and to facilitate reproducibility, the team will open-source relevant pre-training resources.

The ASUS NUC 14 Pro is an AI-powered mini PC tailored to meet everyday computing requirements. It features an Intel? Core? Ultra processor, Arc? GPU, Intel AI Boost (NPU), and vPro? Enterprise capabilities, along with a tool-less chassis design for easy access. With exceptional performance, comprehensive management options, AI capabilities, Wi-Fi sensing technology, wireless connectivity, and customizable design, this mini PC is ideal for modern business applications, edge computing, and IoT solutions.

The ASUS NUC 14 Pro AI is the world's first mini-computer featuring the Intel? Core? Ultra processor (Series 2, formerly known as 'Lunar Lake'), boasting advanced AI capabilities, powerful performance, and a compact design (less than 0.6L). It features a Copilot+ button, Wi-Fi 7, Bluetooth 5.4, voice command, and fingerprint recognition, combined with secure boot technology to offer enhanced security. This revolutionary device sets a new standard for mini-computer innovation, delivering unparalleled performance for enterprise, entertainment, and industrial applications.

RWKV-6 Finch 7B World 3 is an open-source artificial intelligence model featuring 7 billion parameters and trained on 3.1 trillion multilingual tokens. Renowned for its environmentally friendly design and high performance, it aims to provide high-quality open-source AI solutions for users worldwide, regardless of nationality, language, or economic status. The RWKV architecture is designed to minimize environmental impact, with fixed power consumption per token that is independent of context length.

Llama-3.1-Tulu-3-8B-RM is part of the Tülu3 model family, distinguished by its open-source data, code, and recipes, aimed at delivering extensive insights into modern post-training techniques. This model offers state-of-the-art performance for a diverse range of tasks beyond chat, including MATH, GSM8K, and IFEval.

OuteTTS-0.2-500M is a text-to-speech synthesis model built on Qwen-2.5-0.5B. It has been trained on a larger dataset, achieving significant improvements in accuracy, naturalness, vocabulary range, voice cloning capability, and multilingual support. Special thanks to Hugging Face for the GPU funding that supported this model's training.

Qwen2.5-Turbo is an innovative language model developed by Alibaba's team, optimized for processing extremely long texts. It supports a context of up to 1 million tokens, which is equivalent to approximately 1 million English words or 1.5 million Chinese characters. The model achieved a 100% accuracy rate in the 1M-token Passkey Retrieval task and scored 93.1 in the RULER long text evaluation benchmarks, surpassing both GPT-4 and GLM4-9B-1M. Qwen2.5-Turbo not only excels in long text handling but also maintains high performance in short text processing, offering exceptional cost-effectiveness at only 0.3 yuan per million tokens processed.

The newly launched MacBook Pro is a high-performance laptop by Apple, featuring the M4 series chips, including M4, M4 Pro, and M4 Max, delivering faster processing speeds and enhanced functionalities. This laptop is designed for Apple Intelligence—a personal intelligent system that revolutionizes how users work, communicate, and express themselves on a Mac, all while safeguarding their privacy. With outstanding performance, a battery life of up to 24 hours, and an advanced 12MP Center Stage camera, the MacBook Pro has become the preferred tool for professionals.

The Snapdragon 8 Elite Mobile Platform, launched by Qualcomm, represents the pinnacle of Snapdragon innovation. This platform introduces the Qualcomm Oryon? CPU, delivering unprecedented performance in the mobile roadmap. It fundamentally transforms the device experience through powerful processing capabilities, groundbreaking AI enhancements, and a range of unprecedented mobile innovations. The Qualcomm Oryon CPU offers remarkable speed and efficiency, enhancing and extending every interaction. Moreover, the platform harnesses AI on-device capabilities, including multimodal Gen AI and personalized features that support voice, text, and image prompts, further elevating the extraordinary user experience.

Ministral-8B-Instruct-2410 is a large language model developed by the Mistral AI team, designed for local intelligence, on-device computation, and edge use cases. It excels among models of similar size, supporting a 128k context window and interleaved sliding window attention mechanism. The model is capable of training on multilingual and code data, supports function calling, and has a vocabulary size of 131k. The Ministral-8B-Instruct-2410 model demonstrates outstanding performance across various benchmarks, including knowledge and common sense, code and mathematics, and multilingual support. Its performance in chat/arena scenarios (as judged by gpt-4o) is particularly impressive, making it adept at handling complex conversations and tasks.

The Intel? Core? Ultra 200 series desktop processors are the first AI PC processors designed for the desktop platform, delivering exceptional gaming experiences and industry-leading computing performance while significantly reducing power consumption. These processors feature up to 8 next-generation performance cores (P-cores) and up to 16 next-generation efficiency cores (E-cores), resulting in up to a 14% performance improvement in multi-threaded workloads compared to the previous generation. They are also the first desktop processors equipped with a neural processing unit (NPU) for enthusiasts, and include built-in Xe GPU technology, supporting advanced media features.

The AMD Ryzen? AI PRO 300 series processors are third-generation commercial AI mobile processors designed for enterprise users. They offer over 50+ TOPS of AI processing power through an integrated NPU, making them the most powerful in their category on the market. These processors are not only capable of handling everyday work tasks but are specifically designed to meet the AI computing needs in business environments, such as real-time subtitles, language translation, and advanced AI image generation. Manufactured on a 4nm process with innovative power management technology, they provide optimal battery life, making them ideal for business professionals who need to maintain high performance and productivity while on the move.

The MediaTek Dimensity 9400 is a next-generation flagship smartphone chip introduced by MediaTek, built on the latest Armv9.2 architecture and 3nm manufacturing process. It offers exceptional performance and energy efficiency. The chip supports LPDDR5X memory and UFS 4.0 storage, featuring powerful AI processing capabilities, advanced photography and display technologies, and high-speed 5G and Wi-Fi 7 connectivity. It represents the latest advancements in mobile computing and communication technologies, providing substantial power for the high-end smartphone market.

Inflection AI for Enterprise is an enterprise AI system built around a billion+ parameter large language model (LLM), allowing companies full ownership of their intelligence. The underlying model has been fine-tuned for business applications, offering a human-centered and empathetic approach to enterprise AI. Inflection 3.0 enables teams to develop customized, secure, and user-friendly AI applications, eliminating development barriers and accelerating hardware testing and model building. Additionally, Inflection AI combines with Intel AI hardware and software, enabling companies to tailor AI solutions according to their brand, culture, and business needs while reducing total cost of ownership (TCO).

The SiFive Intelligence XM Series is a high-performance AI computing engine launched by SiFive, which delivers exceptional performance-to-power efficiency for compute-intensive applications through the integration of scalar, vector, and matrix engines. This series continues SiFive's tradition of providing efficient memory bandwidth while leveraging the open-source SiFive Kernel Library to accelerate development time.

Yuan2.0-M32-hf-int8 is a mixture of experts (MoE) language model featuring 32 experts, of which 2 are active. By adopting a new routing network—the attention router—it enhances the efficiency of expert selection, resulting in an accuracy improvement of 3.8% compared to models using traditional routing networks. Yuan2.0-M32 was trained from scratch on 200 billion tokens, with its training computation demand being just 9.25% of that required by a dense model of equivalent parameter size. This model is competitive in programming, mathematics, and various specialized fields while utilizing only 3.7 billion active parameters, which is a small portion of a total of 4 billion parameters. The forward computation per token requires only 7.4 GFLOPS, just 1/19th of what Llama3-70B demands. Yuan2.0-M32 outperformed Llama3-70B in the MATH and ARC-Challenge benchmark tests, achieving accuracy rates of 55.9% and 95.8%, respectively.