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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 B200 SXM 180GB – Blackwell Data Center GPU
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The NVIDIA B200 SXM 180GB is a high-performance NVIDIA Blackwell data-center GPU designed for large-scale artificial intelligence, generative AI, high-performance computing (HPC), and demanding data-center workloads. Featuring 180GB of HBM3e memory, up to 7.7TB/s memory bandwidth, fifth-generation Tensor Cores, and fifth-generation NVLink, the B200 provides exceptional compute density and high-speed GPU-to-GPU communication for large AI models and accelerated computing environments.
The B200 SXM
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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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NVIDIA DGX B200 AI Supercomputer
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The NVIDIA DGX B200 is an enterprise-scale AI supercomputer built on the NVIDIA Blackwell architecture, combining 8 NVIDIA B200 Tensor Core GPUs, 1.44TB of total HBM3e GPU memory, fifth-generation NVLink technology, high-speed NVIDIA ConnectX-7 networking, BlueField-3 DPUs, and dual Intel Xeon Platinum processors. Designed as a complete AI infrastructure platform, DGX B200 is optimized for large-scale AI training, fine-tuning, inference, generative AI, high-performance computing (HPC), and advanced data analytics.
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NVIDIA DGX H100 AI Supercomputer
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The NVIDIA DGX H100 is an enterprise-class AI supercomputer designed for large-scale artificial intelligence, generative AI, deep learning, high-performance computing (HPC), data analytics, and large language model workloads.
Powered by 8 NVIDIA H100 Tensor Core GPUs, DGX H100 provides 640GB of total GPU memory, connected through NVIDIA’s fourth-generation NVLink and NVSwitch architecture. The system delivers up to 32 PFLOPS of FP8 AI performance and provides high-bandwidth networking through NVIDIA ConnectX-7 adapters.
The system combines GPU acceleration, dual Intel Xeon processors, 2TB of system memory, high-speed NVMe storage, ConnectX-7 networking, NVSwitch fabric, and NVIDIA’s optimized DGX software stack into a fully integrated AI infrastructure platform.
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