Data Center GPUs from NVIDIA

Advanced Clustering Technologies incorporates NVIDIA data center GPUs into the HPC systems we build for our customers. NVIDIA data center GPUs offer a powerful combination of scalability, performance, and specialized features that make them highly effective for modern data-intensive applications.

NVIDIA data center GPUs are renowned for several key features that make them highly effective for various data center applications:

High Performance: NVIDIA GPUs, especially the A100 and H100 Tensor Core GPUs, deliver exceptional processing power, which is crucial for handling large-scale computations, training complex AI models, and running high-performance computing (HPC) workloads.

AI and Machine Learning Optimization: These GPUs are optimized for AI and machine learning tasks, with specialized hardware like Tensor Cores that accelerate matrix operations and deep learning algorithms. This optimization significantly speeds up training and inference for neural networks.

Scalability: NVIDIA GPUs are designed to scale efficiently across multiple GPUs, which allows data centers to build powerful systems that can tackle massive datasets and high-demand applications.

Versatility: NVIDIA offers a range of GPUs suited for different tasks within data centers, from general-purpose computing to specialized AI and deep learning applications. This versatility allows organizations to choose GPUs that best fit their specific needs.

NVLink and NVSwitch: NVIDIA’s NVLink and NVSwitch technologies provide high-bandwidth, low-latency communication between GPUs, which enhances multi-GPU setups and allows for efficient data sharing and processing across a cluster.

Software Ecosystem: NVIDIA provides a comprehensive software stack, including CUDA (Compute Unified Device Architecture), cuDNN (CUDA Deep Neural Network library), and TensorRT, which streamline development and optimization for GPU-accelerated applications.

Energy Efficiency: Despite their high performance, NVIDIA GPUs are designed to be energy efficient, which helps data centers manage power consumption and cooling requirements