The NVIDIA H100 NVL PCIe Tensor Core GPU delivers breakthrough AI performance with 4th-gen Tensor Cores providing up to 30x speedup over previous generations for transformer-based models. Built on the advanced Hopper architecture with 80GB HBM3 memory and 3TB/s bandwidth, it accelerates large language models, generative AI, and complex scientific computing workloads. The PCIe form factor enables easy integration into existing data center infrastructure while supporting multi-instance GPU technology for optimal resource utilization. Key advantages include exceptional energy efficiency, native support for FP8 precision, advanced security features, and seamless scaling across multiple GPUs for enterprise-grade AI deployment.
The Tesla A100 80GB PCI-E is NVIDIA’s flagship data center GPU designed for AI, machine learning, and high-performance computing workloads. Featuring 80GB of high-bandwidth HBM2e memory, 6,912 CUDA cores, and third-generation Tensor Cores, it delivers exceptional performance for training large neural networks and processing massive datasets. The A100’s Multi-Instance GPU technology allows partitioning into up to seven isolated instances, maximizing utilization and ROI. With 1,555 GB/s memory bandwidth and support for mixed-precision computing, it accelerates AI training up to 20x compared to previous generations. The PCI-E form factor ensures broad compatibility with existing server infrastructure, while advanced features like structural sparsity and third-gen NVLink enable breakthrough performance in deep learning, scientific computing, and data analytics applications.
The Nvidia H100 80GB PCIe is a flagship data center GPU engineered for AI training, inference, and high-performance computing workloads. Built on the advanced Hopper architecture with 4th-gen Tensor Cores, it delivers up to 9x faster AI training and 30x faster inference compared to previous generations. The massive 80GB HBM3 memory provides exceptional capacity for large language models and complex datasets, while 3TB/s memory bandwidth ensures rapid data processing. Key features include support for FP8 precision for enhanced AI performance, PCIe 5.0 connectivity for broad server compatibility, and advanced security with confidential computing capabilities. The H100 excels in transformer-based AI models, scientific simulations, and enterprise AI applications, offering unmatched performance density and energy efficiency for organizations seeking to accelerate their most demanding computational workloads.
The NVIDIA Tesla T4 is a professional-grade GPU accelerator featuring 16GB of high-speed GDDR6 memory and PCIe 3.0 connectivity, designed for AI inference, machine learning, and data center workloads. Its passive cooling design enables quiet operation in server environments while delivering exceptional performance for deep learning inference, video transcoding, and virtualized graphics applications. Key advantages include energy-efficient Turing architecture, support for mixed-precision computing, real-time ray tracing capabilities, and compatibility with popular AI frameworks like TensorFlow and PyTorch. The T4 excels at accelerating inference workloads up to 40x compared to CPU-only solutions, making it ideal for edge computing, cloud services, and enterprise AI deployments requiring high throughput and low latency.
The NVIDIA Tesla A100 Ampere 40GB SXM4 is a cutting-edge data center GPU accelerator engineered for AI, machine learning, and high-performance computing workloads. Built on the revolutionary Ampere architecture, it delivers unprecedented performance with 40GB of high-bandwidth memory for handling massive datasets and complex models. The SXM4 form factor enables ultra-fast NVLink connectivity for multi-GPU scaling, while PCIe 4.0 x16 compatibility ensures broad system integration. Key advantages include third-generation Tensor Cores for AI acceleration, Multi-Instance GPU technology for workload isolation, and exceptional energy efficiency. This dual-slot accelerator represents the pinnacle of computational power for enterprises requiring maximum throughput in deep learning training, inference, scientific computing, and data analytics applications.
The NVIDIA Tesla V100S 32G PCI-E is a high-performance data center GPU designed for AI, machine learning, and scientific computing workloads. Built on the Volta architecture with 5,120 CUDA cores and 640 Tensor cores, it delivers exceptional parallel processing power for deep learning training and inference. The 32GB of high-bandwidth HBM2 memory provides massive data capacity for complex models and large datasets. Key benefits include accelerated AI training times up to 50x faster than CPUs, support for mixed-precision computing, and compatibility with popular frameworks like TensorFlow and PyTorch. The PCI-E form factor ensures easy integration into existing server infrastructure. Unique selling points include industry-leading double-precision performance, advanced NVLink connectivity for multi-GPU scaling, and enterprise-grade reliability with ECC memory protection, making it the premier choice for demanding computational workloads in research institutions and data centers.
The NVIDIA CMP 170HX is a purpose-built cryptocurrency mining GPU delivering exceptional 164 MH/s hash rate performance with 8GB memory. Designed specifically for mining operations, this card offers optimized power efficiency and thermal management without display outputs, maximizing mining profitability. Key advantages include enterprise-grade reliability, reduced power consumption per hash compared to gaming GPUs, and dedicated mining architecture that ensures consistent 24/7 operation. The CMP 170HX provides professional miners with superior ROI through its high hash rate density, lower operational costs, and purpose-engineered design that eliminates unnecessary gaming features while focusing purely on mining performance.
The NVIDIA Tesla M60 is a dual-GPU virtualization powerhouse featuring 16GB of GDDR5 memory designed for enterprise data centers. This PCI-Express card delivers exceptional virtual desktop infrastructure (VDI) performance, supporting up to 32 concurrent users per card with hardware-accelerated graphics. Key benefits include NVIDIA GRID technology for seamless virtual workstation experiences, CUDA parallel processing capabilities for compute workloads, and enterprise-grade reliability with ECC memory protection. The M60 excels at GPU-accelerated applications, CAD/engineering software, and high-density virtual environments while maintaining low latency and superior visual quality. Its unique dual-GPU architecture maximizes server density and ROI, making it the ideal solution for organizations requiring scalable, high-performance virtualized graphics and compute resources.
The Tesla P100 PCIe 16GB is a professional-grade GPU accelerator designed for high-performance computing and AI workloads. Built on NVIDIA’s Pascal architecture with 16nm FinFET technology, it delivers exceptional double-precision performance at 4.7 TFLOPS and single-precision performance at 9.3 TFLOPS. The card features 16GB of high-bandwidth HBM2 memory with 732 GB/s memory bandwidth, enabling processing of large datasets without bottlenecks. Key benefits include dramatically accelerated scientific simulations, machine learning training, and data analytics compared to CPU-only systems. Its PCIe form factor ensures compatibility with standard servers while providing enterprise-grade reliability. The P100’s unified memory architecture and CUDA programming support make it ideal for researchers, data scientists, and enterprises requiring massive parallel processing power for breakthrough discoveries and faster time-to-insight.
The NVIDIA RTX 2000 Ada Generation is a professional graphics card designed for creators, engineers, and professionals who demand reliable performance in a compact form factor. Built on the efficient Ada Lovelace architecture, it delivers enhanced ray tracing capabilities, AI-accelerated workflows, and superior energy efficiency compared to previous generations. Key features include 16GB of GDDR6 memory for handling complex datasets, support for multiple 4K displays, and compatibility with professional applications like CAD, 3D modeling, and video editing software. The card’s low-profile design makes it ideal for workstations with space constraints while maintaining quiet operation. With certified drivers for professional software and enterprise-grade reliability, the RTX 2000 Ada Generation offers an optimal balance of performance, efficiency, and affordability for professional workflows requiring GPU acceleration.
The NVIDIA A30 Tensor Core GPU is a versatile AI accelerator designed for mainstream enterprise workloads, delivering exceptional performance for inference, training, and high-performance computing applications. Built on the Ampere architecture with 24GB HBM2 memory, it provides up to 165 TOPS of INT8 inference performance and supports multi-instance GPU (MIG) technology for optimal resource utilization. The A30 excels in conversational AI, recommendation systems, and computer vision tasks while offering enterprise-grade reliability, PCIe form factor compatibility, and energy efficiency. Its unique value proposition lies in bridging the gap between entry-level and flagship GPUs, providing production-ready AI capabilities at scale with flexible deployment options for data centers seeking cost-effective AI acceleration without compromising performance.
The NVIDIA Tesla P100 is a high-performance computational accelerator designed for data centers and scientific computing workloads. Featuring 16GB of ultra-fast HBM2 memory with a massive 4096-bit memory bus, it delivers exceptional bandwidth for memory-intensive applications. Built on NVIDIA’s Pascal architecture, the P100 excels at deep learning training, scientific simulations, and high-performance computing tasks with double-precision floating-point performance. The PCIe x16 interface ensures broad compatibility with existing server infrastructure. Key advantages include dramatically reduced training times for AI models, accelerated scientific research computations, and energy-efficient performance that can replace multiple traditional processors. This makes it ideal for researchers, data scientists, and enterprises requiring maximum computational power for complex parallel processing workloads.
To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.
FunctionalFunctional
Always active
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
PreferencesPreferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
StatisticsStatistics
The technical storage or access that is used exclusively for statistical purposes.The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
MarketingMarketing
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.