High-Performance Tesla GPU Servers for AI, ML & HPC

Why Choose Tesla GPU Servers for Compute-Intensive Workloads?

Tesla GPU servers reduce data center infrastructure costs by delivering exceptional performance at a lower cost. They are designed to increase application speed by 5-10x and reduce data center infrastructure costs by up to 50% compared to a CPU-based system. This performance gain means faster compute-intensive workloads and improved user experience in web services.

Key Benefits of NVIDIA Tesla GPU for AI, ML & Scientific Computing

Accelerate Machine Learning and AI Development

The second generation of NVIDIA NVLink technology connects graphics accelerators to deliver 160 GB/s of throughput, enabling the world's most powerful computing servers. Models that took weeks to train on previous-generation systems can now be trained in just a few days. This dramatic reduction in training time will enable AI to solve entirely new problems.

Efficient, Scalable High-Performance Computing

More than 550 HPC applications are already optimized for GPUs in a wide range of areas including quantum chemistry, molecular dynamics, climate and weather, and more. With the most popular HPC applications and all deep learning frameworks accelerated on GPUs, every HPC customer will see a larger portion of their data center workload benefit from computing with the NVIDIA Tesla Server.

Save Costs with Energy-Efficient Performance

NVIDIA Tesla GPU server is designed to deliver maximum performance in existing hyperscale data centers. It consumes 13 kW of power and delivers the same performance as 30 CPU servers. Such a leap in performance and energy efficiency contributes to the scaling of artificial intelligence services.

Use Cases for Tesla GPU Servers in Real-World Applications

AI and Deep Learning Model Training

NVIDIA Tesla GPU facilitate calculations in the field of deep neural networks, fast training on datasets. They allow continuous operation of programs, which allows training neural networks for AI projects faster than on standard equipment.

Reducing the time to get a result becomes possible thanks to ultra-fast graphics accelerators. This allows you to launch high-tech virtual projects, conduct complex scientific research with a large number of calculations and create models based on big data.

Scientific Research and Data Processing

From weather forecasting and finding new energy sources to understanding climate change, scientists constantly use large computing systems to model our world and predict what will happen in it. Artificial intelligence expands this capability by allowing scientists to analyze large amounts of data and extract useful information where simulations alone cannot provide a complete picture of what is happening.

Tesla GPU server can replace hundreds of traditional CPU servers, performing traditional HPC and AI tasks. Now every scientist can afford a supercomputer that will help solve the most complex problems.

Big Data Visualization and Simulations

Creating, rendering, editing videos — all this requires powerful equipment. Tesla GPU servers solve this problem by transferring processing processes to the cloud. They allow you to broadcast video in high resolution and quickly change file formats.

GPU technologies accelerate the execution of resource-intensive tasks in 3D modeling, preparing illustrations and processing photos. NVIDIA Tesla Servers help to avoid freezes that often occur when working even on the most powerful desktop computers

Optimized Tesla GPU Models for Every Workload

Tesla V100 for AI and HPC

Tesla V100 is designed for the convergence of AI and HPC. It offers a platform for HPC systems to excel in both computational science for scientific modeling and data science for finding insights in data. A single Tesla V100 GPU can replace hundreds of conventional CPU-only servers for traditional HPC and AI workloads. Now every researcher and engineer can afford an AI supercomputer to handle their most complex work.

Tesla T4 for Machine Learning Inference

NVIDIA Tesla T4 accelerates workloads across high-performance computing, deep learning training and algorithms, machine learning, data analytics, and graphics. Optimized for mainstream computing environments, the GPU features Turing Tensor Cores and new RT Cores. T4 delivers breakthrough scalable performance when paired with accelerated containerized software from NGC.

Tesla P100 for Cost-Effective Compute

Modern data centers require solutions like the Tesla P100. The graphics card uses the NVIDIA Pascal GPU architecture to provide a unified platform for accelerating both HPC and AI. nVidia Tesla server significantly increases throughput while reducing costs.