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Showing 37–45 of 83 results
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NCR XR7+ (NCR-7703MC739)
$ 677.73 Price excluding tax Add to cart
$ 677.73 Price excluding taxThe NCR-7703MC739 is an NCR XR7+ all-in-one POS terminal featuring a 15-inch PCAP touchscreen, Intel Core i5 processor, 8GB RAM, and 240GB SSD. Running Windows 10 IoT Enterprise 2019, it is designed for reliable retail, hospitality, and point-of-sale operations.
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NVIDIA A10 Tensor Core GPU 24GB GDDR6
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The NVIDIA A10 Tensor Core GPU is a professional data-center accelerator based on the NVIDIA Ampere architecture, designed for accelerated graphics, professional visualization, AI, rendering, video processing, virtual desktop infrastructure (VDI), and enterprise computing.
Featuring 24GB of GDDR6 memory, 600GB/s memory bandwidth, 72 RT Cores, third-generation Tensor Cores, PCIe Gen4 connectivity, and a highly efficient 150W single-slot FHFL design, the A10 delivers enterprise-class graphics and compute acceleration in a compact server form factor.
The A10 is particularly well suited for NVIDIA RTX Virtual Workstation (vWS), virtual desktops, remote collaboration, 3D visualization, rendering, AI-accelerated applications, and mainstream enterprise GPU computing.
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NVIDIA A100 PCIe 80GB Tensor Core GPU
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The NVIDIA A100 PCIe 80GB Tensor Core GPU is a high-performance data-center accelerator based on NVIDIA Ampere architecture and the GA100 GPU. Designed for artificial intelligence, deep learning, high-performance computing (HPC), data analytics, scientific computing, and large-scale virtualization, it combines 80GB of HBM2e memory with 1,935GB/s memory bandwidth and advanced Tensor Core acceleration.
The PCIe version features a dual-slot form factor, PCI Express 4.0 connectivity, 300W maximum TDP, and support for NVIDIA Multi-Instance GPU (MIG), allowing a single A100 to be divided into up to seven isolated GPU instances.
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NVIDIA A16 64GB GDDR6 ECC PCIe GPU
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The NVIDIA A16 GPU is a high-density enterprise accelerator designed primarily for virtual desktop infrastructure (VDI), virtual workstations, remote desktops, cloud graphics, video streaming, and knowledge-worker applications. Based on the NVIDIA Ampere architecture, the A16 combines four independent GPUs on a single dual-slot PCIe board, each equipped with 16GB of GDDR6 ECC memory, providing 64GB of total GPU memory.
With 4 × 200GB/s memory bandwidth, PCIe Gen4 x16 connectivity, passive cooling, and a 250W maximum power consumption, the NVIDIA A16 is optimized for high user density and efficient GPU virtualization in enterprise data centers.
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NVIDIA A30 Tensor Core GPU 24GB
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The NVIDIA A30 Tensor Core GPU is a professional data-center accelerator based on the NVIDIA Ampere architecture, engineered for AI inference, machine learning, enterprise computing, deep-learning training, high-performance computing (HPC), and data analytics.
Featuring 24GB of HBM2 memory, 933GB/s memory bandwidth, third-generation Tensor Cores, FP64 Tensor Core acceleration, PCIe Gen4 connectivity, and NVIDIA Multi-Instance GPU (MIG) technology, the A30 delivers a flexible combination of compute performance, memory bandwidth, virtualization, and energy efficiency.
With a 165W maximum TDP and a dual-slot full-height, full-length PCIe form factor, the A30 is designed for mainstream enterprise servers and NVIDIA-Certified Systems.
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NVIDIA BlueField-3 DPU
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The NVIDIA BlueField-3 DPU (Data Processing Unit) is an advanced data-center processor that combines programmable Arm CPU cores, high-speed networking, PCIe Gen 5 connectivity, memory, storage, security acceleration, and hardware offload engines into a single platform.
BlueField-3 DPUs provide networking speeds of up to 400Gb/s, support 400GbE and NVIDIA NDR InfiniBand, and integrate an RDMA-capable network adapter with programmable processing resources. Depending on the model, BlueField-3 includes 16 Arm cores, 16GB or 32GB onboard DDR5 ECC memory, onboard eMMC and SSD storage, an integrated BMC, and hardware-accelerated security capabilities.
Designed for modern accelerated data centers, BlueField-3 can offload networking, storage, security, virtualization, and infrastructure services from host CPUs, making it particularly well suited for AI infrastructure, cloud computing, HPC, zero-trust data centers, software-defined networking, and disaggregated storage.
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NVIDIA ConnectX-6 Dx Smart Network Adapter
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The NVIDIA ConnectX-6 Dx is a high-performance Smart Network Adapter (SmartNIC) designed for modern data centers, cloud infrastructure, enterprise networking, storage, virtualization, cybersecurity, and high-throughput computing environments.
Based on NVIDIA’s ConnectX-6 Dx architecture, the adapter provides up to 200Gb/s Ethernet connectivity through either dual-port 25/50/100GbE or single-port 200GbE configurations, depending on the specific model. It combines PCI Express Gen 4.0 connectivity, advanced network offloads, RDMA/RoCE, virtualization acceleration, storage acceleration, and hardware-based security functions.
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NVIDIA ConnectX-7 400Gb/s Smart Network Adapter
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The NVIDIA ConnectX-7 is a high-performance Smart Network Adapter designed for modern data centers, artificial intelligence, high-performance computing (HPC), hyperscale cloud, storage, and enterprise networking environments.
Supporting up to 400Gb/s total network bandwidth, ConnectX-7 provides both InfiniBand and Ethernet connectivity, depending on the specific adapter configuration. It supports advanced networking technologies including RDMA, RoCE, GPUDirect RDMA, GPUDirect Storage, SR-IOV, hardware offloads, NVIDIA In-Network Computing, and accelerated security functions.
The adapter uses a PCI Express Gen 5 host interface and is available in several physical configurations, including PCIe HHHL/FHHL and OCP 3.0 form factors. Depending on the exact model, ConnectX-7 cards can provide single-, dual-, or multi-port connectivity and support speeds from 10GbE up to 400GbE.
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NVIDIA DGX B200 AI Supercomputer
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The NVIDIA DGX B200 is an enterprise-class AI supercomputer designed for large-scale generative AI, large language models (LLMs), deep learning, high-performance computing (HPC), data analytics, and accelerated computing.
Powered by 8 NVIDIA Blackwell B200 Tensor Core GPUs, DGX B200 delivers 1.44TB of total HBM3e GPU memory, up to 64TB/s aggregate GPU memory bandwidth, and up to 72 PFLOPS of FP8 AI performance with sparsity. The system combines Blackwell GPUs with fourth-generation NVLink, fifth-generation NVLink Switch technology, dual Intel Xeon CPUs, 2TB system memory, 30TB of NVMe storage, and high-speed ConnectX-7 networking.
DGX B200 is engineered as a complete, validated AI infrastructure platform for organizations deploying demanding AI training and inference workloads at enterprise and data-center scale.
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