Tanna TechBiz LLP

Tanna TechBiz LLP is a trusted distributor and partner of leading open-source hardware brands, including Nvidia, Banana Pi, Arduino, Adafruit, Arducam, Seeed Studio, and more. Committed to innovation and quality, we deliver cutting-edge technology to empower businesses, educators, and innovators to bring their ideas to life.

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Tanna TechBiz Eagle 201 – NVIDIA Jetson Orin NX 16GB Embedded AI Carrier Board

Product photo of the Tanna TechBiz Eagle 201, an embedded AI carrier board built for the NVIDIA Jetson Orin NX 16GB module. Designed for entry-level AI solutions such as robotics, intelligent cameras, and smart drones, it offers up to 157 TOPS (Sparse) / 78 TOPS (Dense) AI performance. Visible connectivity includes dual MIPI CSI-2 camera connectors, 4x USB 3.0 Type-A ports, USB Type-C, DisplayPort, M.2 Key M NVMe slot, RJ-45 Gigabit Ethernet, and a 40-pin GPIO expansion header. SKU: SYS-TTB-0007. Made in India by Tanna TechBiz LLP, backed by a 3-year warranty.

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What Is a Single Board Computer? Features, Uses, and Benefits Explained

Technology is becoming smaller, smarter, and more powerful. One of the most important innovations driving this transformation is the single board computer (SBC). From smart homes and industrial automation to robotics and edge AI, SBCs are powering countless applications across industries.

Whether you're a student, developer, hobbyist, or business owner, understanding how a single board computer works can help you choose the right platform for your next project.

What Is a Single Board Computer?

A single board computer is a complete computer built on a single circuit board. Unlike traditional desktop computers that require separate components such as a motherboard, processor, memory, and storage devices, an SBC integrates all essential hardware into one compact unit.

Most SBCs include:

A processor (CPU)

Memory (RAM)

Storage interfaces

USB and network ports

Graphics capabilities

GPIO pins for hardware connectivity

Popular examples include Raspberry Pi, NVIDIA Jetson, ODROID, BeagleBone, and Orange Pi.

Key Features of a Single Board Computer

The growing popularity of SBCs comes from their versatility and efficiency. Here are some of their key features:

Compact Size

A single board computer is small enough to fit into embedded systems, portable devices, and space-constrained environments.

Low Power Consumption

Most SBCs consume significantly less power than traditional computers, making them ideal for always-on applications and battery-powered devices.

Flexible Connectivity

SBCs typically include USB, Ethernet, Wi-Fi, Bluetooth, HDMI, and GPIO interfaces, allowing seamless integration with sensors, cameras, displays, and other peripherals.

Operating System Support

Many SBCs support Linux distributions, Android, and specialized operating systems designed for IoT and AI applications.

Expandability

Developers can enhance functionality through expansion boards, modules, and accessories tailored to specific use cases.

Common Uses of Single Board Computers

The versatility of a single board computer makes it suitable for numerous applications.

Internet of Things (IoT)

SBCs serve as the backbone of smart devices, enabling data collection, communication, and automation.

Robotics

Robotics projects often use SBCs for motion control, computer vision, and sensor integration.

Edge AI

Platforms such as NVIDIA Jetson support real-time AI inference at the edge, reducing latency and improving privacy.

Home Automation

Smart home systems use SBCs to control lighting, security cameras, appliances, and energy management solutions.

Education and Learning

Students and educators rely on SBCs to learn programming, electronics, and embedded system design.

Industrial Automation

Businesses deploy SBCs for predictive maintenance, machine monitoring, and process optimization.

Benefits of Using a Single Board Computer

There are several reasons why SBCs have become essential tools for developers and organizations.

Affordable compared to traditional computers

Easy to deploy and maintain

Energy-efficient operation

Ideal for rapid prototyping

Scalable for commercial applications

Supported by active developer communities

These advantages help reduce development costs and accelerate innovation.

Choosing the Right Single Board Computer

Selecting the best SBC depends on your project requirements. Consider factors such as processing power, memory capacity, connectivity options, software support, and intended application.

For AI and computer vision projects, GPU-enabled platforms like NVIDIA Jetson are excellent choices. For educational and DIY projects, Raspberry Pi remains a popular option.

Why Choose Tanna TechBiz LLP?

At Tanna TechBiz LLP, we provide high-quality SBC solutions, including Raspberry Pi, NVIDIA Jetson, AI cameras, carrier boards, and embedded accessories.

Our team supports developers, educational institutions, startups, and enterprises with expert guidance, technical support, and innovative hardware solutions designed for AI, robotics, IoT, and industrial applications.

Conclusion

A single board computer offers a compact, cost-effective, and powerful platform for modern computing applications. Whether you're building an IoT device, developing an AI solution, or learning embedded systems, SBCs provide the flexibility and performance needed to turn ideas into reality.

With the right hardware and expert support from Tanna TechBiz LLP, you can accelerate your next innovation project with confidence.

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ODROID XU4 vs Raspberry Pi 4: Which SBC Wins in 2026?

ODROID XU4 vs Raspberry Pi 4: Which SBC Wins in 2026?

ODROID XU4 or Raspberry Pi 4 — which SBC actually performs better in 2026? We compare raw speed, cooling, community support, and real-world

In 2026, choosing between the ODROID XU4 and Raspberry Pi 4 depends on your needs. Compare performance, cooling efficiency, community support, and real-world usability to find the SBC that best fits your project.

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The Banana Pi M2M (BPI-M2M) is a compact 51×51mm single board computer built on the Allwinner R16 Quad-Core ARM Cortex-A7 processor with 512MB DDR3 RAM purpose-designed for IoT and home automation use cases where size and power efficiency matter. It ships with onboard 8GB eMMC storage, Wi-Fi 802.11 b/g/n, Bluetooth 4.0, a CSI camera interface, DSI display output, and a 40-pin GPIO header for hardware-level control. Unlike larger boards, the M2M skips HDMI and RJ45 to stay lean ideal for embedded deployments running Android, Debian, or Ubuntu. If you are looking to buy Banana Pi M2M in India, Tanna TechBiz is your trusted source explore the full Banana Pi board lineup for your next project.

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NVIDIA Jetson AGX Thor Developer Kit: A New Baseline for Physical AI Development

Robotics and autonomous systems have always been compute-constrained. Processing sensor streams, running inference on large models, coordinating motion planning, and responding to environmental changes all must happen in milliseconds, on hardware that fits inside a robot chassis or an industrial enclosure. For years, engineers worked around that ceiling by offloading workloads to the cloud or constraining what their models could do. The NVIDIA Jetson AGX Thor Developer Kit removes that ceiling entirely.

What Thor Actually Brings to the Table

The headline figure is 2,070 TFLOPS of FP4 sparse AI compute, delivered by a 2,560-core NVIDIA Blackwell GPU carrying 96 fifth-generation Tensor Cores. That number is not just incrementally larger than what came before. It represents roughly 7.5 times the AI throughput of the Jetson AGX Orin, while consuming power within a 40W to 130W configurable envelope and achieving 3.5 times better energy efficiency in the process.

Backing the GPU is a 14-core Arm Neoverse-V3AE CPU with a 16MB shared L3 cache, paired with 128GB of 256-bit LPDDR5X memory delivering 273GB/s of bandwidth. Storage ships pre-populated with a 1TB NVMe drive in the M.2 Key-M slot. For a developer kit, that is a production-grade memory subsystem, one that holds large model weights in RAM without thrashing swap or NVMe on every inference pass.

Built for Generative AI at the Edge

The architecture of the NVIDIA Jetson AGX Thor Developer Kit reflects a deliberate shift in what edge AI actually demands today. Earlier Jetson generations were optimised for classical computer vision tasks: object detection, segmentation, and pose estimation. Thor is architected around a different class of workloads, including Vision Language Action models, large language models, vision-language models, and multi-modal sensor fusion pipelines.

NVIDIA's own Isaac GR00T N1, its foundation model for humanoid robots, targets this platform directly. So do the Metropolis visual agentic AI framework, the Holoscan sensor processing SDK, and the Video Search and Summarisation workflow. The practical implication is that developers building next-generation robotic applications are working with a platform designed around these exact workloads from the start, not against its hardware ceiling.

The Blackwell Multi-Instance GPU (MIG) technology deserves specific mention here. MIG allows the GPU to be partitioned into isolated compute slices, each with its own memory bandwidth and cache allocation. For robotics workloads that mix real-time control with background inference, or that need hard latency guarantees for safety-critical tasks, this capability fundamentally changes how software is architected on the platform.

Connectivity Built for Sensor-Dense Systems

Physical AI systems are not latency-tolerant when it comes to sensor data. A humanoid robot, an autonomous vehicle perception stack, or a factory inspection system may ingest data from dozens of sensors simultaneously. The I/O specification on this kit reflects that reality directly.

Networking goes well beyond a standard Ethernet port. The kit includes a QSFP28 slot providing 4x25 GbE alongside a wired 5GbE RJ45 connector, a combination suited to high-throughput camera feeds or tethered operation with a host workstation. USB coverage includes two USB-A 3.2 and two USB-C 3.1 ports for peripheral sensors and accessories. Two 13-pin CAN headers support direct integration with robot actuators and motor controllers. A dedicated optical flow accelerator and a third-generation Programmable Vision Accelerator (PVA) offload tasks like stereo depth estimation and feature tracking from the main GPU, keeping latency predictable under heavy inference loads.

Display output covers HDMI 2.0b and DisplayPort 1.4a, practical for visualisation during development and for HMI panels in deployed systems.

Who This Kit Is For

Thor is not a starting point for embedded projects with modest compute needs. It is built for teams developing products where the model itself is the product: humanoid robots, agentic inspection systems, surgical assistance platforms, and autonomous logistics equipment where multi-modal foundation models must run entirely on the device, without cloud dependency.

The kit ships with the Jetson T5000 module, a reference carrier board, a 140W DC power supply, a pre-installed WiFi and Bluetooth module, and a quick-start guide, giving teams everything needed to begin software development without sourcing additional hardware.

Where to Source It in India

For research institutes, robotics startups, and product engineering teams across India, Tanna TechBiz is an authorised NVIDIA distributor headquartered in Rajkot, Gujarat, with a network office in Santa Clara, California. The store carries the full Jetson lineup, carrier boards, embedded AI systems, sensors, cameras, and development accessories from over 30 global brands, making it a reliable single procurement point for teams building serious AI-driven hardware.

Tanna TechBiz also provides dedicated pre-sales and post-sales technical support, which matters when integrating a platform as capable and nuanced as this into an active product development cycle.

Closing Thought

The shift from edge inference to edge reasoning requires compute that simply did not exist at the device level a few years ago. The NVIDIA Jetson AGX Thor Developer Kit is built precisely for that moment, and for teams serious about deploying physical AI at scale, it represents one of the most complete development platforms available today. You can explore the full product details and place your order directly through Tanna TechBiz.

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7 Hidden Raspberry Pi Features You Should Be Using

Unlock underrated Raspberry Pi features that improve performance, expand functionality, and make your projects easier and more efficient to

Explore key Raspberry Pi capabilities that enhance efficiency, flexibility, and performance—perfect for developers, makers, and tech enthusiasts looking to maximize their builds.

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5 Fun & Innovative Raspberry Pi Projects You Should Try

Try creative and engaging Raspberry Pi projects that spark innovation and help you build useful, fun tech experiments at home or for learnin

Explore creative and engaging Raspberry Pi projects that inspire innovation and let you build fun, practical tech experiments for learning or home use.

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7 Hidden Raspberry Pi Features You Should Be Using

Unlock underrated Raspberry Pi features that improve performance, expand functionality, and make your projects easier and more efficient to

Discover hidden Raspberry Pi features that boost performance, enhance functionality, and make your projects simpler and more efficient to manage.

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How to Choose the Right Screen for Your DIY Mini Computer Project

Choosing the right screen for your DIY mini computer project depends on size, resolution, connectivity, and touch capability. A Raspberry pi display should match your project goals, whether it’s for gaming, automation, coding, or media streaming. Consider screen size (5-inch, 7-inch, or larger), resolution for clear visuals, and HDMI or DSI compatibility. Touchscreen functionality is ideal for interactive projects, while IPS panels provide better viewing angles. Power consumption is also important for portable builds. Always check driver support and mounting options before purchasing. Selecting the proper screen ensures smooth performance, better usability, and a professional-looking final setup.

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Compact Camera Board for Embedded Systems

This image showcases a compact and powerful camera module designed for modern IoT and embedded projects. The esp32 cam is widely used for smart surveillance, automation, robotics, and AI-based vision applications. With built-in Wi-Fi and Bluetooth support, it enables wireless image capture and real-time video streaming. Its small size and low power consumption make it ideal for DIY makers, students, and developers working on innovative solutions. The module supports integration with cloud platforms and microcontroller-based systems, offering flexibility and scalability. Perfect for prototyping and commercial projects, the esp32 cam delivers reliable performance in a cost-effective design.

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How SBCs and Displays Are Shaping the Future of Embedded Computing

Embedded computing is evolving rapidly, powered by the seamless integration of Single Board Computer (SBC) platforms and advanced display technologies. This blog explores how compact yet powerful SBCs enable efficient data processing, edge computing, and system flexibility, while modern displays enhance real-time visualization and user interaction. From industrial automation and healthcare devices to smart retail and transportation systems, the article highlights practical use cases, technical benefits, and emerging trends such as AI at the edge, IoT connectivity, and energy efficiency. Together, Single Board Computer solutions and intelligent displays are shaping the future of interactive and connected embedded systems.

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Unlocking the Power of NVIDIA Jetson Nano Developer Kit for AI and Robotics | Tanna TechBiz

Leverage the NVIDIA Jetson Nano Developer Kit to build intelligent AI and robotics projects with speed, efficiency, and powerful performance.

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5 Must-Know Banana Pi Display Options for Every Project

Looking for the right display for your Banana Pi setup? Check out these top 5 choices, including a 7-inch LCD touchscreen, a compact OLED module, a 5-inch HDMI screen, a crisp E-Ink display, and a vibrant 10.1-inch IPS panel—perfect for everything from simple interfaces to full-featured builds.