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Položka č.:
68766591
LattePanda Sigma - The Small Hackable x86 Windows/Linux Single Board Computer Server (16GB RAM) (No SSD, NO WiFi)
Položka č.:
68766591
CZK 34036
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from USA
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Importováno z obchodu USA
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Objednejte nyní a položka bude u vás okolo Pátek, září 11
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Introducing LattePanda Sigma - an innovative embedded computer
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Note: Step Down Voltage Transformer required for using electronics products of USA store (110-120). Recommended power converters Koupit teď.
What Stands Out
High Performance
Equipped with 16GB RAM, LattePanda Sigma delivers robust processing power for demanding applications, making it ideal for multitasking and resource-intensive projects.
Dual OS Support
Supports both Windows and Linux operating systems, providing flexibility for developers and hobbyists to build and run various applications tailored to their needs.
Compact Design
The small form factor allows for easy integration into tight spaces, making it a perfect choice for DIY projects, embedded systems, and portable server applications.
Detaily produktu
- LattePanda Sigma is a small, hackable x86 Windows/Linux single board computer server
- It comes with 16GB RAM and a 500GB SSD
- Equipped with WiFi 6E for fast and reliable wireless connectivity
- The shipping list includes LattePanda Sigma with 500GB SSD and WiFi 6E
- Ideal for various DIY projects and applications
- Offers the flexibility to run both Windows and Linux operating systems
| Country of Origin | This item will be imported from US |
| Date First Available | May 13, 2023 |
Who Should Buy?
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Developers
Ideal for software developers looking for a compact, versatile board for building and testing applications on Windows/Linux.
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IoT Projects
Great for hobbyists and engineers creating Internet of Things projects that require processing power in limited space.
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Learning Platform
Useful for students and educators in computer science, providing hands-on experience with programming and hardware integrations.
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General Users
Not suitable for average consumers seeking a ready-to-use computer due to lack of SSD and Wi-Fi connectivity.
POPIS PRODUKTU
LattePanda Sigma - The Small Hackable x86 Windows/Linux Single Board Computer Server (16GB RAM) (No SSD, NO WiFi)
Máte nějaký dotaz? Napi
Otázky a odpovědi zákazníků
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otázka:
What operating systems can I run on the LattePanda Sigma?
Odpovědět: The LattePanda Sigma is designed to run both Windows and Linux, providing versatility for various applications. This capability allows developers, hobbyists, and tech enthusiasts to select the operating system that best aligns with their project needs. Whether you're creating a media center, running a home server, or developing embedded applications, the LattePanda Sigma's x86 architecture caters to a broad range of software environments, making it an ideal choice for personal or professional projects. -
otázka:
How much RAM does the LattePanda Sigma come with?
Odpovědět: The LattePanda Sigma includes 16GB of RAM, which is ample for multitasking and running demanding applications seamlessly. This significant memory allocation enhances performance in various scenarios, such as running virtual machines or compiling code. With 16GB of RAM, users can experience smoother workflows when handling complex tasks, making the LattePanda Sigma a robust solution for developers and creators looking to push the boundaries of compact computing. -
otázka:
Can I upgrade the storage on the LattePanda Sigma?
Odpovědět: The LattePanda Sigma does not come with an integrated SSD, allowing you the flexibility to choose your storage solution. You can connect external drives or install your own SSD using compatible interfaces like USB or M.2 slots, depending on your project requirements. This versatility enables users to customize their storage capacity, ensuring you have enough space for software, files, and applications necessary for your tasks. -
otázka:
Is the LattePanda Sigma suitable for gaming purposes?
Odpovědět: While the LattePanda Sigma is primarily designed for development and server applications, it can handle light gaming depending on the requirements of the games you wish to play. Given its x86 architecture, it can run various gaming platforms and emulators, which may allow casual gaming experiences. However, expect to optimize settings for performance, as this board is not a dedicated gaming console. -
otázka:
What are the dimensions of the LattePanda Sigma?
Odpovědět: The LattePanda Sigma is compact and lightweight, making it ideal for space-constrained projects. Its dimensions are designed for portability without sacrificing functionality. Being small allows it to fit easily into enclosures, making it perfect for embedded systems, robotics projects, or as a portable server. This characteristic enhances its usability in various situations, including presentations, development workshops, or personal computing needs. -
otázka:
Does the LattePanda Sigma support WiFi connectivity?
Odpovědět: The LattePanda Sigma is designed without built-in WiFi, which allows you to tailor your connectivity options to your specific needs. You can add WiFi capabilities by using USB WiFi adapters, providing you the freedom to choose the model that fits your budget and performance expectations. This flexibility means that users can ensure their connectivity is optimal based on their usage – whether for IoT projects, server management, or remote access. -
otázka:
What types of projects can I use the LattePanda Sigma for?
Odpovědět: The LattePanda Sigma is incredibly versatile and can be used for a wide range of projects, including home automation systems, DIY servers, media centers, and robotics development. Its powerful processing capabilities and flexible operating system choice make it an excellent platform for creativity and innovation. Whether you're a hobbyist looking to explore computing or a developer needing a compact solution for complex tasks, the LattePanda Sigma offers a promising foundation. -
otázka:
Can I use the LattePanda Sigma for machine learning tasks?
Odpovědět: While the LattePanda Sigma can run various machine learning frameworks, its hardware specifications should be considered in relation to your project scope. If you're working on light projects or education purposes, it can be adequate. However, for intensive computations and larger datasets, you may need more powerful hardware. This makes it suitable for experimentation and learning or developing prototypes rather than for production-level machine learning tasks. -
otázka:
Is the LattePanda Sigma compatible with various peripherals?
Odpovědět: Yes, the LattePanda Sigma is compatible with a wide range of peripherals thanks to its array of ports, including USB, HDMI, and GPIO headers. These ports allow users to connect keyboards, mice, displays, and various sensors easily. This connectivity ensures that you can expand your project functionalities efficiently, whether it's for prototyping, development, or educational purposes, making it an adaptable tool in diverse environments. -
otázka:
Where can I buy LattePanda Sigma - The Small Hackable x86 Windows/Linux Single Board Computer Server 16GB RAM No SSD, NO WiFi?
Odpovědět: You can purchase the LattePanda Sigma from Ubuy in Czech Republic. Ubuy provides a platform with various shipping options and customer support to ensure you have a smooth shopping experience. By buying from Ubuy, you can also benefit from their ranges of related products and useful accessories to support your computing needs effectively.
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CZK 34036
Objednejte nyní a položka bude u vás okolo Pátek, září 11
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Služby a výhody
- 12C(4P+8E) / 16T CPU with a max turbo frequency of 4.60 GHz (Performance-core) and 3.4 GHz (Efficient-core)
- 16GB dual-channel LPDDR5-6400 memory
- M.2 SSD (NVMe/SATA), SATA drive form factor for storage
- 2 x Thunderbolt 4 (40Gbps) and 2 x USB3.2 Gen 2 (10Gbps) for fast data transfer
- Up to 4096 x 2304 @ 120Hz eDP 1.4b, HDMI 2.1 and DP 1.4a ports for display
- 5.5mm x 2.1mm DC Jack or PD 20V power input for power supply
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