zł16,259.35 tax excl.
A compact, desktop-class AI computer powered by the NVIDIA GB10 Grace Blackwell superchip, offering up to 1 petaFLOP of AI processing power (FP4). The system features 128GB of unified LPDDR5x memory and 4TB of fast NVMe storage, enabling local operation of AI models with up to 200 billion parameters. With the preinstalled NVIDIA AI ecosystem and extensive connectivity, including 10GbE, Wi-Fi 7, and ConnectX-7, it's ideal for prototyping, training, and inferencing AI models. NVIDIA 940-54242-0005-000
NVIDIA DGX Spark™ is a compact, personal next-generation AI computer, specifically designed for building, testing, and running artificial intelligence models directly on your desktop. The system is powered by the NVIDIA GB10 Grace Blackwell Superchip, which integrates a high-performance CPU and a powerful GPU based on the Blackwell architecture. This allows the system to deliver up to 1 petaFLOP of AI compute performance (FP4) in an extremely energy-efficient and compact SFF (Small Form Factor) chassis. Equipped with 128 GB of unified LPDDR5x system memory, it can run modern AI models with up to 200 billion parameters locally, without the need for cloud resources. DGX Spark is designed for AI developers, researchers, data scientists, and ML engineers who require high computational power in a desktop environment.
The preinstalled NVIDIA AI Software Stack provides access to a full ecosystem of tools, libraries, and frameworks, including PyTorch, Jupyter, and NVIDIA NIM. With NVIDIA ConnectX™ technology, two DGX Spark systems can be linked together, enabling work with models of up to 405 billion parameters. Its compact size makes it ideal for offices, research labs, and educational environments. DGX Spark combines the power of data center-class infrastructure with the convenience of a desktop computer. It is a perfect solution for prototyping, fine-tuning, testing, and inference of AI models locally, while also allowing easy migration of projects from desktop to cloud or data center. NVIDIA DGX Spark sets a new standard for personal AI systems, significantly accelerating the development of modern AI solutions.
Manufacturer BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20
Responsible person BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20
NVIDIA development kit with the ARM Cortex A57 1.43GHz CPU chip and the Maxwell graphics system consisting of 128 cores supporting CUDA technology. The module has a DDR4 4GB RAM memory. NVIDIA Jetson Nano Development Kit rev. B01 945-13450-0000-100
No product available!
EVALSP320SPLC is an evaluation board in MII mode designed for testing the functionality of SPEAr320S-2 microcontrollers in industrial and networking applications. It provides a rich set of communication interfaces and input/output extensions and works with the CPU board EVALSP320SCPU, ordered separately.
Module with microprocessor SPEAR320-2, STM, RoHS
hb01w-b-220-08
hb02w-b-220-08
Minicomputer with an octa-core processor (up to 1.4GHz) and 2 GB of DDR3 RAM memory, 16 GB of eMMC Flash memory. It has a WiFi 2.4G module and video interfaces in the form of HDMI, as well as USB2.0, MicroSD, Ethernet port and 3.5mm audio socket. FriendlyELEC NanoPC T3 Plus
The kit is designed to work with Linux. It consists of the SoM (System on Module) Quark-N and the Atom-N expansion board. Seeed Studio 114992462
Development board with Allwinner F1C200S processor. It is equipped with 64 MB DDR RAM and 128 MB Nand Flash. It was designed to run under Linux and Python programming. DFRobot DFR0780
The 8MPLUSLPD4-EVK is an advanced evaluation kit with the i.MX 8M Plus processor, ideal for building edge products in machine learning, computer vision, multimedia and industrial IoT, from smart home to Industry 4.0.
An OEM version of the measurement system for PHM/SHM applications, creating a complete, autonomous measurement system node, equipped with a network interface. The system consists of a base board and a computing module. The measurement front-end of the base plate is equipped with AI/ML that serves as a configurable sample preselector.
The design is optimized for cooperation with computing modules based on Renesas RZ/V2L processors
No product available!
The module is based on the NXP i.MX RT1052 microcontroller (ARM Cortex-M7, 528 MHz), offers 32 MB SDRAM, 16 MB Flash and supports displays with resolutions up to 1366 x 768. Equipped with interfaces such as Ethernet, I2C, SPI, CAN, UART and advanced security features, it is ideal for embedded applications, supporting FreeRTOS and operating in a temperature range from -40 ° C to + 70 ° C. SomLabs SLS13RT52_528C_32R_16QSPI_2ET_I
Industrial computer based on Raspberry Pi Compute Module 4, optimized for IoT and data acquisition, with effective thermal management and support for an external antenna for improved wireless communication. The device offers a rich set of interfaces, such as RS485, RS232, CAN, Gigabit Ethernet and HDMI 4K, and its robust design ensures reliability in temperatures from -25 ° C to 60 ° C, with the possibility of mounting on a DIN rail. Edatec ED-CM4SEN-1408-C
No product available!
Industrial computer based on Raspberry Pi Compute Module 4, optimized for IoT and data acquisition, with effective thermal management and support for an external antenna for improved wireless communication. The device offers a rich set of interfaces, such as RS485, RS232, CAN, Gigabit Ethernet and HDMI 4K, and its solid construction ensures reliability in temperatures from -25 ° C to 60 ° C, with the possibility of mounting on a DIN rail. Edatec ED-CM4SEN-1208-4C(EU)
No product available!
Industrial computer based on Raspberry Pi Compute Module 4, optimized for IoT and data acquisition, with effective thermal management and support for an external antenna for improved wireless communication. The device offers a rich set of interfaces, such as RS485, RS232, CAN, Gigabit Ethernet and HDMI 4K, and its solid construction ensures reliability in temperatures from -25 ° C to 60 ° C, with the possibility of mounting on a DIN rail. Edatec ED-CM4SEN-1232-4C(EU)
No product available!
Industrial computer based on Raspberry Pi Compute Module 4, with 4 GB RAM and 8 GB eMMC, supporting system boot from SD card and a wide set of interfaces such as RS232, RS485, ADC, isolated I/O, PoE, WiFi, Bluetooth with external antennas. With built-in Flash memory, support for PCI-e Gen2 and GPIO, as well as operation in voltages from 8 to 36 V, the device is ideal for applications requiring advanced communication and reliability in industrial environments. Edatec ED-CM4IND-1408-C
No product available!
Industrial computer based on Raspberry Pi Compute Module 4, with 8 GB RAM and 8 GB eMMC, supporting system boot from SD card and a wide set of interfaces such as RS232, RS485, ADC, isolated I/O, PoE, WiFi, Bluetooth with external antennas. With built-in Flash memory, support for PCI-e Gen2 and GPIO, as well as operation in voltages from 8 to 36 V, the device is ideal for applications requiring advanced communication and reliability in industrial environments. Edatec ED-CM4IND-1808-C
No product available!
A compact, desktop-class AI computer powered by the NVIDIA GB10 Grace Blackwell superchip, offering up to 1 petaFLOP of AI processing power (FP4). The system features 128GB of unified LPDDR5x memory and 4TB of fast NVMe storage, enabling local operation of AI models with up to 200 billion parameters. With the preinstalled NVIDIA AI ecosystem and extensive connectivity, including 10GbE, Wi-Fi 7, and ConnectX-7, it's ideal for prototyping, training, and inferencing AI models. NVIDIA 940-54242-0005-000