New Series71 Ultra Portable Mini Pocket Laptop 2025
Imagine slipping a fully functional laptop into your pocket—no bulky bag, no awkward juggling of devices, just seamless portability at your fingertips. Bold claim? Not anymore. The new Series 71 mini laptop by X Plus is redefining what it means to stay connected and productive on the go. With its sleek 7-inch touchscreen, customizable hardware, and a price tag that won't break the bank, this ultra-compact device promises to deliver big functionality in a small package. But does this pint-sized powerhouse live up to the hype, or is it just another novelty in the world of tech? Let's explore what makes the Series 71 stand out in a market saturated with laptops that are either too large to carry effortlessly or too underpowered to be practical.
In this deep dive, ETA Prime uncovers how the Series 71 balances portability and affordability without sacrificing essential features. From its lightweight design and expandable storage to its ability to handle light gaming and everyday tasks, this mini laptop is packed with surprises. But it's not without its trade-offs—like limited performance for demanding applications or the challenges of a smaller screen. Whether you're a student, a frequent traveler, or simply someone who values convenience, this guide will help you decide if the Series 71 is the right fit for your lifestyle. Because sometimes, the smallest devices can make the biggest impact. Ultra-Portable Mini Laptop Compact Design and Practical Build
The Series 71 stands out with its sleek 7-inch design, featuring a 16:10 aspect ratio touchscreen display with a resolution of 1280×800 at 60 Hz. This small form factor ensures exceptional portability, making it ideal for users who need a device that can be carried effortlessly. For navigation, the laptop includes a track point and physical mouse buttons, though the touchscreen often proves to be the more intuitive option for most tasks.
Audio is delivered through dual stereo side-firing speakers, offering clear and balanced sound for media playback. Storage is expandable via a removable 2242 M.2 SSD, with the pre-installed 512 GB drive upgradeable to 1 TB, providing flexibility for users with growing storage needs. The device also includes a variety of connectivity options, making sure compatibility with multiple peripherals: Two USB 3.0 ports
A 3.5mm audio jack
A microSD card slot
A mini HDMI output
A power input
These features enhance its usability, making it a practical choice for a wide range of everyday tasks. Hardware and Performance
The Series 71 is powered by an Intel N100 CPU with 4 cores and 4 threads, capable of reaching speeds up to 3.4 GHz. For users seeking slightly better performance, an optional upgrade to the N200 processor is available. The device is equipped with 16 GB of LPDDR4 RAM, allowing smooth multitasking for basic computing tasks such as web browsing, document editing, and media playback. Wi-Fi 5 ensures reliable wireless connectivity, supporting seamless streaming and online activities.
Running on Windows 11 Home, the laptop provides a user-friendly and familiar operating system. While Linux can be installed, the touchscreen's compatibility with Linux remains untested, which may limit its appeal to open source enthusiasts. The device's 27Wh battery offers moderate power efficiency, with a default 9W TDP balancing performance and battery life. Users can increase the TDP to 15W for improved performance, though this comes at the cost of reduced battery life and increased heat output. Series71 Ultra Portable Mini Pocket Laptop
Watch this video on YouTube.
Below are more guides on ultra-portable mini laptops from our extensive range of articles. Who Is It For?
The Series 71 is designed for users with basic computing needs. It excels at handling tasks such as web browsing, email, document editing, and media playback. Additionally, it supports light gaming and emulation, running titles from platforms like GameCube, Wii, and PSP at low to medium settings. However, it is not intended for modern AAA games or resource-intensive applications, making it more suitable for casual users who prioritize portability over raw computing power. Key Limitations
While the Series 71 offers impressive portability and versatility, it does come with some limitations that may affect its appeal to certain users: Performance is insufficient for demanding applications or multitasking heavy workloads.
The track point lacks gesture support, which may hinder navigation for some users accustomed to more advanced input options.
The small touchscreen, while intuitive, may not be ideal for extended use or for users who prefer larger displays.
Increasing the TDP for better performance reduces battery life and generates more heat, potentially impacting usability during long sessions.
These trade-offs make the Series 71 less suitable for users seeking a high-performance or full-featured laptop, but they are reasonable compromises for a device focused on portability and affordability. Affordability and Value
Starting at $249 for the N100 version, the Series 71 offers an affordable entry point for users who prioritize portability over raw computing power. The optional N200 upgrade provides only marginal performance improvements, making the base model the more cost-effective choice for most users. As a niche product, it appeals to those who need a compact, lightweight device for casual tasks rather than a powerhouse machine.
The combination of its low price, expandable storage, and versatile design makes the Series 71 a compelling option for users who value convenience and mobility. It is particularly well-suited for students, travelers, or anyone in need of a secondary device for light computing tasks. Final Assessment
The Piccolo Series 71 by X Plus is a well-rounded mini laptop that strikes a balance between functionality and affordability. While it is not designed for high-performance tasks, its compact size, touchscreen display, and customizable storage make it a versatile option for casual computing, media consumption, and light gaming. For users who prioritize portability and convenience, the Series 71 offers a practical and accessible solution at an attractive price point.
Media Credit: ETA PRIME Filed Under: Hardware, Laptops, Top News
Latest Geeky Gadgets Deals
Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Reuters
35 minutes ago
- Reuters
Haveli Investments to buy AI database firm Couchbase for about $1.5 billion
June 20 (Reuters) - Haveli Investments will acquire Couchbase (BASE.O), opens new tab for about $1.5 billion, the companies said on Friday, as the private equity firm looks to capitalize on the artificial intelligence-focused database company's platform. Couchbase's shares, which have gained 21% this year, were up 29% in early trading following the news. The company's cloud-based database powers AI-related applications that need a flexible data model and easy scalability. Couchbase is part of a group of modern database companies — including MongoDB (MDB.O), opens new tab, Cockroach Labs, Snowflake (SNOW.N), opens new tab and Databricks — challenging legacy players such as Oracle (ORCL.N), opens new tab. New database technologies make it easier and faster to store, manage and use a large amount of unstructured data that modern AI systems require. Haveli Investments, founded by former Vista Equity Partners president Brian Sheth, will pay Couchbase shareholders $24.50 per share, which represents a premium of about 29% to the stock's last close price. The private equity firm has a 9.6% stake in Couchbase, according to data compiled by LSEG. It may engage with Couchbase's management or board to explore strategic options, including a potential merger, according to a March filing with the U.S. SEC. The agreement includes a go-shop period that ends on Monday, during which Couchbase can consider alternate offers.
Coin Geek
an hour ago
- Coin Geek
Top BSV wallets? Kurt Wuckert Jr. answers in AMA
Homepage > Videos > Top BSV wallets? Kurt Wuckert Jr. answers in AMA In this CoinGeek Weekly Livestream episode, Wuckert covered the best BSV wallets, upcoming BSV conferences, and a general BSV roundup for 2025 so far. Click here to read the full article.
Geeky Gadgets
an hour ago
- Geeky Gadgets
Professional Quality Voice Cloning : Open Source vs ElevenLabs
What if you could replicate a voice so convincingly that even the closest of listeners couldn't tell the difference? The rise of professional-quality voice cloning has made this a reality, transforming industries from entertainment to customer service. But as this technology becomes more accessible, a pivotal question emerges: should you opt for the polished convenience of a commercial platform like ElevenLabs, or embrace the flexibility and cost-efficiency of open source solutions? The answer isn't as straightforward as it seems. While ElevenLabs promises quick results with minimal effort, open source tools offer a deeper level of customization—if you're willing to invest the time and expertise. This tension between convenience and control lies at the heart of the debate. In this article, Trelis Research explore the key differences between open source voice cloning models and ElevenLabs, diving into their strengths, limitations, and use cases. From the meticulous process of preparing high-quality audio data to the technical nuances of fine-tuning models like CSM1B and Orpheus, you'll uncover what it takes to achieve truly lifelike voice replication. Along the way, we'll also examine the ethical considerations and potential risks that come with wielding such powerful technology. Whether you're a curious enthusiast or a professional seeking tailored solutions, this exploration will challenge your assumptions and help you make an informed choice. After all, the voice you clone may be more than just a tool—it could be a reflection of your values and priorities. Mastering Voice Cloning What Is Voice Cloning? Voice cloning involves training a model to replicate a specific voice for text-to-speech (TTS) applications. This process requires high-quality audio data and advanced modeling techniques to produce results that are both realistic and expressive. Commercial platforms like ElevenLabs provide fast and efficient solutions, but open source models offer a cost-effective alternative for those willing to invest time in training and customization. By using these tools, you can create highly personalized voice outputs tailored to your specific needs. Data Preparation: The Foundation of Accurate Voice Cloning High-quality data is the cornerstone of successful voice cloning. To train a model effectively, you'll need at least three hours of clean, high-resolution audio recordings. The preparation process involves several critical steps that ensure the dataset captures the unique characteristics of a voice: Audio Cleaning: Remove background noise and normalize volume levels to ensure clarity and consistency. Remove background noise and normalize volume levels to ensure clarity and consistency. Audio Chunking: Divide recordings into 30-second segments, maintaining sentence boundaries to preserve coherence and context. Divide recordings into 30-second segments, maintaining sentence boundaries to preserve coherence and context. Audio Transcription: Use tools like Whisper to align text with audio, creating precise and synchronized training data. These steps are essential for capturing the nuances of a voice, including its tone, pitch, and emotional expression, which are critical for producing realistic outputs. Open Source vs ElevenLabs Watch this video on YouTube. Gain further expertise in AI voice cloning by checking out these recommendations. Open source Models: Exploring the Alternatives Open source voice cloning models provide powerful alternatives to commercial platforms, offering flexibility and customization. Two notable models, CSM1B (Sesame) and Orpheus, stand out for their unique features and capabilities: CSM1B (Sesame): This model employs a hierarchical token-based architecture to represent audio. It supports fine-tuning with LoRA (Low-Rank Adaptation), making it efficient for training on limited hardware while delivering high-quality results. This model employs a hierarchical token-based architecture to represent audio. It supports fine-tuning with LoRA (Low-Rank Adaptation), making it efficient for training on limited hardware while delivering high-quality results. Orpheus: With 3 billion parameters, Orpheus uses a multi-token approach for detailed audio representation. While it produces highly realistic outputs, its size can lead to slower inference times and increased complexity during tokenization and decoding. When fine-tuned with sufficient data, these models can rival or even surpass the quality of commercial solutions like ElevenLabs, offering a customizable and cost-effective option for professionals. Fine-Tuning: Customizing Open source Models Fine-tuning is a critical step in adapting pre-trained models to replicate specific voices. By applying techniques like LoRA, you can customize models without requiring extensive computational resources. During this process, it's important to monitor metrics such as training loss and validation loss to ensure the model is learning effectively. Comparing the outputs of fine-tuned models with real recordings helps validate their performance and identify areas for improvement. This iterative approach ensures that the final model delivers accurate and expressive results. Open Source vs. ElevenLabs: Key Differences ElevenLabs offers a streamlined voice cloning solution, delivering high-quality results with minimal input data. Its quick cloning feature allows you to replicate voices using small audio samples, making it an attractive option for users seeking convenience. However, this approach often lacks the precision and customization offered by open source models trained on larger datasets. Open source solutions like CSM1B and Orpheus, when fine-tuned, can match or even exceed the quality of ElevenLabs, providing a more flexible and cost-effective alternative for users with specific requirements. Generating Audio: Bringing Text to Life The final step in voice cloning is generating audio from text. Fine-tuned models can produce highly realistic outputs, especially when paired with reference audio samples to enhance voice similarity. However, deploying these models for high-load inference can present challenges due to limited library support and hardware constraints. Careful planning and optimization are essential to ensure smooth deployment and consistent performance, particularly for applications requiring real-time or large-scale audio generation. Technical Foundations of Voice Cloning The success of voice cloning relies on advanced technical architectures that enable models to produce realistic and expressive outputs. Key elements include: Token-Based Architecture: Audio is broken into tokens, capturing features such as pitch, tone, and rhythm for detailed representation. Audio is broken into tokens, capturing features such as pitch, tone, and rhythm for detailed representation. Hierarchical Representations: These allow models to understand complex audio features, enhancing expressiveness and naturalness in the generated outputs. These allow models to understand complex audio features, enhancing expressiveness and naturalness in the generated outputs. Decoding Strategies: Differences in decoding methods between models like CSM1B and Orpheus influence both the speed and quality of the generated audio. Understanding these technical aspects can help you select the right model and optimize it for your specific use case. Ethical Considerations in Voice Cloning Voice cloning technology raises important ethical concerns, particularly regarding potential misuse. The ability to create deepfake audio poses risks to privacy, security, and trust. As a user, it's your responsibility to ensure that your applications adhere to ethical guidelines. Prioritize transparency, verify the authenticity of cloned voices, and use the technology responsibly to avoid contributing to misuse or harm. Best Practices for Achieving Professional Results To achieve professional-quality voice cloning, follow these best practices: Use clean, high-quality audio recordings for training to ensure accuracy and clarity. Combine fine-tuning with cloning techniques to enhance voice similarity and expressiveness. Evaluate models on unseen data to test their generalization and reliability before deployment. These practices will help you maximize the potential of your voice cloning projects while maintaining ethical standards. Tools and Resources for Voice Cloning Several tools and platforms can support your voice cloning efforts, streamlining the process and improving results: Transcription Tools: Whisper is a reliable option for aligning text with audio during data preparation. Whisper is a reliable option for aligning text with audio during data preparation. Libraries and Datasets: Platforms like Hugging Face and Unsloth provide extensive resources for training and fine-tuning models. Platforms like Hugging Face and Unsloth provide extensive resources for training and fine-tuning models. Training Environments: Services like Google Colab, RunPod, and Vast AI offer cost-effective solutions for model training and experimentation. By using these resources, you can simplify your workflow and achieve high-quality results in your voice cloning projects. Media Credit: Trelis Research Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
