NVIDIA RTX PRO 5000 Blackwell
(Bundle Sale) NVIDIA RTX PRO 5000 Blackwell - SKY-QUAD-5000B-48
(Bundle Sale) NVIDIA RTX PRO 5000 Blackwell - SKY-QUAD-5000B-48
- Company:アドバンテック
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Last Updated: Aggregation Period:May 27, 2026~Jun 23, 2026
This ranking is based on the number of page views on our site.
Last Updated: Aggregation Period:May 27, 2026~Jun 23, 2026
This ranking is based on the number of page views on our site.
Last Updated: Aggregation Period:May 27, 2026~Jun 23, 2026
This ranking is based on the number of page views on our site.
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(Bundle Sale) NVIDIA RTX PRO 5000 Blackwell - SKY-QUAD-5000B-48
(Bundle Sale) NVIDIA RTX PRO 5000 Blackwell - SKY-QUAD-5000B-48
NPU products specialized for AI inference calculations, offering higher performance, lower power consumption, and reduced costs and maintenance compared to traditional GPU chips, making them suitable for Edge AI.
Optimized for AI inference calculations, it consumes 25W less power and can deliver high AI performance of 80 TOPS even in a small form factor, making it suitable for Edge AI applications. Customers using our products can simultaneously improve AI product performance and reduce costs. The Mobilint NPU has a dedicated hardware architecture specifically designed for AI inference tasks. This allows it to exhibit excellent AI performance while maintaining very low power consumption, cost, and maintenance. Compared to competing products (GPUs), its performance is more than twice as high, while the price is only about half, and its energy efficiency is far superior. One of the biggest advantages of the Mobilint NPU is its user-friendliness. It provides an intuitive SDK similar to existing development environments and supports all major ML frameworks. Additionally, it extensively accommodates over 200 various AI models, including the latest SOTA models and custom models developed by partner companies.
"Pocket AI," a portable GPU accelerator equipped with NVIDIA RTX A500.
Pocket AI offers ultimate flexibility and reliability on the go. This portable plug-and-play AI accelerator provides the perfect power/performance balance from NVIDIA RTX GPUs. Pocket AI is the ideal device for AI developers, professional graphics users, and embedded industrial applications, enhancing productivity by improving work efficiency.
Unlock the potential of AI on the go with NVIDIA RTX GPU! Build a high-performance work environment.
"Pocket AI" is a compact product that combines high flexibility and reliability, allowing it to be used as an AI accelerator on the go. It supports plug-and-play and offers an excellent power-performance balance utilizing the NVIDIA RTX A500. It is suitable for the work environments of AI developers and professional graphic users, as well as for field applications in the embedded industrial sector, contributing to increased productivity through accelerated processing. The Thunderbolt interface used in this product is a high-speed communication standard that has become popular in laptops, thin clients, and compact PCs. With the evolution to version 4.0 (backward compatible with 3.0) and the adoption of USB Type-C connections, peripheral devices and gadgets utilizing this technology are continuously emerging. By leveraging the optical transfer speed of Thunderbolt (up to 40Gb/s) and the general availability of hosts, it achieves an intuitive plug-and-play UX that significantly enhances productivity.
40 TOPS M.2 AI Accelerator Module
The Geniatech AI accelerator module, adopting the M.2 form factor, can be seamlessly integrated into PCs and edge devices, enabling real-time deep neural network inference with low power consumption across various applications.
Computational storage processor with Xilinx Kintex UltraScale+! It is a highly energy-efficient and flexible computing node.
The 『250-U2』 is a computing storage processor compliant with the U.2 form factor. It is equipped with a Xilinx Kintex UltraScale+ FPGA directly coupled to local DDR4 memory. It is designed to be deployed within traditional U.2 NVMe storage arrays, enabling FPGA-accelerated instances. 【Specifications (partial)】 ■ Power - Hot-swappable resistance - Power on the card obtained from U.2 power supply ■ Environment - Operating temperature: 5℃ to 35℃ - Cooling: air convection *For more details, please download the PDF or feel free to contact us.
NVIDIA RTX PRO 6000 BW, 96GB GDDR7, PCIe Gen5 x16, 2.1
【ADLINK RTX PRO 6000 Blackwell Server Edition Features】 ■ NVIDIA Blackwell Architecture ■ Equipped with 96GB GDDR7 Memory ■ PCIe Gen5 x16 Interface ■ 24,064 CUDA Cores, 188 RT Cores, 752 Tensor Cores ■ Supports up to 4 DisplayPort 2.1 Outputs, TGP 600W ■ Designed for Servers and Workstations
PCIe Media Processing Acceleration Engine
The traditional Intel Xeon server architecture quickly reaches its limits in both capability and performance. By adopting a high-efficiency DSP that provides direct offloading from the host CPU, the SharpMedia PCIE-8120 acceleration engine eliminates the need for server expansion when adding HD high-quality audio and video processing to applications.
As an AI inference engine, it is suitable for small embedded systems! Compatible with Intel's OpenVINO toolkit.
The "Mustang-M2BM-MX2" is an AI accelerator equipped with two Intel Movidius Myriad X VPU MA2485s. Due to its low power consumption and high performance, it is suitable for DNN topology, making it ideal for AI edge computing, and it allows for longer operation in battery-powered devices. Additionally, we also offer the "Mustang-MPCIE-MX2" with a miniPCIe interface and the "Mustang-V100-MX4." 【Features】 ■ M.2 BM interface (22 x 80mm) ■ 2 x Intel Movidius Myriad X VPU MA2485 ■ Power consumption: approximately 7.5W ■ Operating temperature: -20°C to 60°C ■ Compatible with Intel's OpenVINO toolkit *For more details, please refer to the PDF document or feel free to contact us.
SOSA-compliant high-performance computing Intel Xeon 6 (with VRAN accelerator included)
Kratos is a robust plug-in card equipped with high computational processing capabilities. It also supports defense-oriented 5G and telecom vRAN communications. Developed in compliance with the SOSA technical standard, it features processors with 32-core/20-core configurations, large-capacity memory, local storage, and support for virtualization.
40 TOPS M.2 AI Accelerator Module
The Geniatech AI accelerator module, adopting the M.2 form factor, can be seamlessly integrated into PCs and edge devices, enabling real-time deep neural network inference with low power consumption across various applications.
Equipped with Xilinx Zynq UltraScale+ MPSoC! Significantly reduces storage costs and power consumption in data centers.
The "250-SoC" can form remote distributed storage or Ethernet Just-a-Bunch-of-Flash (EJBOF) when used. Equipped with both programmable logic and a 64-bit ARM processor, the Xilinx Zynq UltraScale+ MPSoC device. This high-spec device adjusts data transfer. 【Specifications (partial)】 ■ Host Interface - x16 mechanical PCIe Gen3 compatible - Configurable as two x8 PCI slots in a x16 or bifurcated slot up to Gen3 ■ QSFP Cage - Two front panel 4-25Gbps lane QSFP28 cages - User-programmable low-jitter clocking supporting 10/25/40/100GbE *For more details, please download the PDF or feel free to contact us.
Inference performance is 15 times higher than conventional, and power consumption and TCO are 1/12! Developed for AI and HPC.
The "NVIDIA HGX B200" is a modular GPU platform capable of housing the Blackwell generation B200 GPU. It supports a wide range of applications, from training large language models and real-time inference to HPC fields such as molecular simulation and autonomous driving development. With up to 1.4TB of GPU memory, it efficiently handles models with parameters ranging from hundreds of billions to trillions. Equipped with the fifth generation of NVLink and NVSwitch, it connects GPUs at a total of 14.4TB/s. It supports both liquid cooling and air cooling, allowing for flexible configurations based on the installation environment. 【Features】 ■ Equipped with 8 advanced Blackwell GPUs ■ Up to 1.4TB of GPU memory ■ NVLink/NVSwitch with 14.4TB/s inter-GPU communication ■ 15 times inference performance and 1/12 total cost of ownership efficiency ■ Flexible system configuration ■ Wide range of application areas and proven performance *For more details, please refer to the related links or feel free to contact us.
An accelerator that has undergone a revolutionary evolution to efficiently realize video, AI, and graphics.
The NVIDIA L4 is a Tensor Core GPU that provides energy-efficient universal acceleration powered by the NVIDIA Ada Lovelace architecture. Designed in a slim form factor, it delivers a cost-effective and energy-efficient solution across all servers, including edge, data centers, and cloud. It offers high throughput and low latency, achieving up to 120 times the AI video performance and up to 99% energy efficiency improvement compared to traditional CPU-based infrastructure. It operates at a low power consumption of 72W in a slim form factor. 【Features】 ■ Experience the performance of real-time AI video pipelines ■ Reduce power consumption and installation space with L4 ■ Accelerate generative AI performance ■ Optimize graphics performance ■ Efficiently and sustainably accelerate workloads ■ Streamline development and deployment with enterprise AI software *For more details, please refer to the related links or feel free to contact us.
AI accelerator capable of supporting everything from CNN models to generative AI models.
EdgeCortix SAKURA-II is a cutting-edge AI accelerator that offers industry-leading efficiency through the company's low-latency Dynamic Neural Accelerator (DNA). It is a low-power silicon device that delivers excellent performance with a small footprint, designed for applications requiring fast, real-time AI inference with a batch size of one. SAKURA-II is designed to handle the most challenging generative AI applications at the edge, allowing designers to create new content based on heterogeneous inputs such as images, text, and sound. Within a power envelope of 8W (standard value), it supports billion-parameter models like Llama 2 or 3, Stable Diffusion, DETR, and ViT, meeting the requirements for a vast number of edge generative AI applications across vision, language, speech, and many other domains.
NVIDIA RTX 5000 Ada Generation Type B+
NVIDIA RTX 5000 Ada Generation Type B+