Nvidia Tesla Series Graphic Card
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NVIDIA A30 24GB HBM2 Memory Ampere GPU Tesla Data Center Accelerator
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The NVIDIA A30 is a high-performance data center GPU built on the Ampere architecture, featuring 24GB of HBM2 memory for exceptional bandwidth and efficiency. Designed for AI inference, training, and high-performance computing (HPC) workloads, it delivers a balance of performance and versatility. Key features include third-generation Tensor Cores for accelerated AI processing, multi-instance GPU (MIG) support for secure workload isolation, and PCIe Gen4 for faster data throughput. Its energy-efficient design and scalability make it ideal for enterprise deployments, offering a cost-effective solution for modern data center demands.
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Tesla A100 80GB PCI-E NVIDIA GPU Graphic Card NVA100TCGPU80-KIT
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The Tesla A100 80GB PCI-E NVIDIA GPU (NVA100TCGPU80-KIT) is a high-performance data center graphics card designed for AI, machine learning, and high-performance computing workloads. Featuring 80GB of high-bandwidth HBM2e memory and PCI-E Gen4 interface, it delivers exceptional throughput and scalability. Built on NVIDIA’s Ampere architecture, it supports multi-instance GPU (MIG) technology, enabling secure and efficient resource partitioning. With third-generation Tensor Cores and double the performance of its predecessor, the A100 accelerates training and inference tasks across diverse AI models. Its unmatched memory capacity and compute power make it ideal for large-scale, data-intensive applications.
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NVIDIA H100 NVL PCIE Tensor Core GPU
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The NVIDIA H100 NVL PCIe Tensor Core GPU is a high-performance AI accelerator designed for large-scale language models and generative AI workloads. Featuring dual H100 GPUs connected via NVLink, it delivers up to 94 GB of HBM3 memory and 600 GB/s of GPU-to-GPU bandwidth. Built on the Hopper architecture, it offers up to 6x faster performance for transformer models compared to previous generations. Key features include fourth-generation Tensor Cores, Transformer Engine for mixed-precision computing, and secure multi-instance GPU (MIG) support. Ideal for data centers, it enables efficient, scalable AI training and inference with industry-leading performance and energy efficiency.
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Nvidia H100 80GB PCIe Core GPUs
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The Nvidia H100 80GB PCIe Core GPU is a high-performance accelerator designed for AI, HPC, and data analytics workloads. Built on the Hopper architecture, it features 80GB of high-bandwidth HBM3 memory and supports PCIe Gen5 for faster data transfer. Key features include Transformer Engine for optimized AI model training and inference, fourth-generation Tensor Cores for up to 6x performance improvement over previous generations, and secure multi-instance GPU (MIG) capabilities for workload isolation. Its unmatched compute power, scalability, and energy efficiency make it ideal for demanding enterprise and research applications.
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NVIDIA 900-2G183-0000-001 VCX 900-2G183-0000-001 Tesla T4 16GB GDDR6 PCIe 3.0 Passive Cooling
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The NVIDIA Tesla T4 (900-2G183-0000-001) is a high-performance GPU accelerator designed for AI inference, machine learning, and data center workloads. Featuring 16GB of GDDR6 memory and PCIe 3.0 interface, it delivers exceptional energy efficiency and performance with a low-profile, single-slot form factor. Built on NVIDIA’s Turing architecture, it supports Tensor Cores for accelerated AI workloads and mixed-precision computing. Passive cooling enables deployment in dense server environments. Key benefits include reduced power consumption (70W TDP), scalability, and optimized performance for real-time inference, making it ideal for modern AI-driven applications.
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NVIDIA H200 Tensor Core GPU,141 GB HBM3e, NVLink, PCIe 5.0, 700 W
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The NVIDIA H200 Tensor Core GPU is a high-performance accelerator designed for AI, HPC, and data analytics workloads. It features 141 GB of ultra-fast HBM3e memory, delivering exceptional bandwidth for large-scale models and datasets. With support for NVLink and PCIe 5.0, it ensures high-speed interconnectivity and scalability across systems. Operating at 700 W, the H200 offers unmatched computational power, making it ideal for demanding generative AI and large language model applications. Its cutting-edge architecture and memory capacity position it as a top-tier solution for next-generation AI infrastructure.
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NVIDIA A100 80G SXM4
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The NVIDIA A100 80G SXM4 is a high-performance GPU designed for data centers, delivering exceptional acceleration for AI, machine learning, and high-performance computing (HPC) workloads. Featuring 80GB of high-bandwidth HBM2e memory and third-generation Tensor Cores, it enables massive model training, real-time inference, and advanced analytics. Built on the NVIDIA Ampere architecture, it supports multi-instance GPU (MIG) technology for optimal resource utilization and scalability. Its SXM4 form factor ensures maximum throughput and energy efficiency, making it ideal for demanding enterprise and research applications.
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NVIDIA A30 Tensor Core GPU
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The NVIDIA A30 Tensor Core GPU is a versatile data center accelerator designed for AI inference, training, and high-performance computing (HPC). Built on the Ampere architecture, it features 24 GB of HBM2 memory, third-generation Tensor Cores, and multi-instance GPU (MIG) support, enabling secure, efficient workload partitioning. The A30 delivers exceptional performance per watt, making it ideal for mainstream enterprise servers. Its blend of AI and HPC capabilities, energy efficiency, and scalability positions it as a cost-effective solution for modern data centers handling diverse and demanding workloads.
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NVIDIA Tesla V100S 32G PCI-E
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The NVIDIA Tesla V100S 32G PCI-E is a high-performance GPU accelerator designed for data centers, AI, and high-performance computing (HPC) workloads. Featuring 32GB of ultra-fast HBM2 memory and powered by NVIDIA’s Volta architecture, it delivers up to 7.8 TFLOPS of double-precision, 15.7 TFLOPS of single-precision, and 125 Tensor TFLOPS for AI training and inference. Its PCI-E interface ensures broad compatibility, while its large memory capacity and bandwidth (up to 1134 GB/s) enable efficient processing of massive datasets. The V100S stands out for its superior performance, scalability, and energy efficiency, making it ideal for demanding AI, deep learning, and scientific computing applications.
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NVIDIA Tesla P100 16 GB 4096 bit HBM2 PCI-E x16 Computational Accelerator
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The NVIDIA Tesla P100 16 GB is a high-performance computational accelerator designed for data centers and scientific computing. Featuring 16 GB of ultra-fast HBM2 memory on a 4096-bit interface, it delivers exceptional memory bandwidth for data-intensive workloads. Built on NVIDIA’s Pascal architecture, it offers up to 5.3 teraflops of double-precision performance, making it ideal for AI, deep learning, and HPC applications. With PCI-E x16 connectivity, it ensures broad compatibility and efficient integration. Its key advantages include massive parallel processing power, energy efficiency, and scalability, making it a top choice for accelerating complex computations and reducing time to insight.
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NVIDIA Tesla A100 Ampere 40 GB SXM4 Graphics Processor Accelerator – PCIe 4.0 x16 – Dual Slot
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The NVIDIA Tesla A100 Ampere 40 GB SXM4 is a high-performance GPU accelerator designed for data centers, AI, and high-performance computing workloads. Built on the Ampere architecture, it features 40 GB of high-bandwidth HBM2 memory and supports PCIe 4.0 x16 for faster data throughput. Key features include third-generation Tensor Cores for accelerated AI training and inference, multi-instance GPU (MIG) technology for workload isolation, and high energy efficiency. Its dual-slot SXM4 form factor ensures optimal thermal performance. The A100 delivers unmatched scalability, making it ideal for demanding applications in AI, data analytics, and scientific computing.
Bulk Order Discounts Available
Bulk Order Discounts Available
