Dedicated GPU Hosting by Atlantic.Net

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Atlantic.Net Dedicated GPU Hosting, Accelerated by NVIDIA

Unleash the full potential of your AI, machine learning, and high-performance computing workloads with Atlantic.Net's dedicated GPU server hosting. We offer a comprehensive range of servers equipped with the latest NVIDIA® GPUs, including the versatile L40S and the performance-leading H100 NVL. Experience the difference between next-generation Intel® CPUs, ultra-fast NVMe storage, and high-bandwidth network connectivity, all designed to maximize your performance and efficiency.

Powering Your Workloads: A Choice of Powerful GPUs

We understand that different tasks demand different levels of processing power. That's why we offer two cutting-edge high-performance NVIDIA GPUs, each designed to provide maximum performance. Our GPU hosting leverages NVLink technology to distribute and share GPU resources between the cloud instances. If you need dedicated resources, our Dedicated GPU Server Hosting has got you covered.

NVIDIA L40S GPU

The NVIDIA L40S GPU, powered by the cutting-edge NVIDIA Ada Lovelace architecture, is a versatile powerhouse designed to accelerate a wide spectrum of professional workloads. From training advanced AI models and rendering photorealistic graphics to encoding high-resolution video, the L40S delivers exceptional performance and efficiency.

Key features:

  • Blazing-Fast Performance: Experience unparalleled speed for complex computations with 18,176 CUDA® Cores.
  • AI Acceleration: Supercharge your AI and deep learning workflows with 568 Tensor Cores, enabling faster training and inference.
  • Stunning Visuals: Achieve breathtaking realism in graphics rendering with 1420 RT Cores dedicated to real-time ray tracing.
  • Massive Memory Capacity and Bandwidth: Handle large datasets and complex models with 48GB of GDDR6 memory featuring ECC for data integrity and 864 GB/s of memory bandwidth for rapid data transfer.

Ideal for:

  • AI model training and inference
  • Graphics rendering and visualization
  • Video encoding and transcoding
  • High-performance computing

NVIDIA H100 NVL

For those pushing the boundaries of large-scale AI and high-performance computing, the NVIDIA H100 NVL represents the pinnacle of performance. Built on the revolutionary NVIDIA Hopper architecture, the H100 NVL delivers unmatched scalability and speed for the most demanding workloads.

Key features:

  • Unprecedented Compute Power: Harness the immense computational capabilities of 14,592 CUDA® Cores for tackling massive datasets and intricate models.
  • Accelerated AI Training and Inference: Optimize AI workflows with 456 Tensor Cores, enabling faster training and more efficient inference.
  • Massive HBM3 Memory: Access and process vast datasets at lightning speed with 94GB HBM3 memory.
  • Unrivaled Memory Bandwidth: Experience unprecedented data throughput with 3.9 TB/s of memory bandwidth, ensuring seamless performance for the most demanding applications.
  • Optimized for Transformers: Leverage the 4th Gen Transformer Engine for peak performance in training and deploying transformer-based deep learning models.

Ideal for:

  • Training and deploying large language models (LLMs)
  • High-performance computing (HPC)
  • Scientific simulations and research
  • Large-scale data analytics and machine learning

Experience the NVIDIA Advantage

Regardless of your specific needs, high-performance GPU servers provide best-in-class performance, reliability, and a comprehensive ecosystem of software and tools to accelerate your most demanding workloads. Our purpose-built GPU servers are engineered to deliver a seamless and optimized experience, empowering you to achieve groundbreaking results.

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High-Performance Dedicated GPU
Server Hosting at Atlantic.Net

Many industries now rely on applications that demand significant computing power. From training complex deep learning models to rendering high-fidelity graphics or conducting scientific research using artificial intelligence, the need for robust computing resources is undeniable.

Atlantic.Net's dedicated GPU server hosting solutions provide the infrastructure and hardware needed to handle these demanding tasks.

Features of Atlantic.Net's Dedicated GPU Server Hosting

Experience the Atlantic.Net difference, by embracing our class-leading GPU hosting service.

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Powerful NVIDIA GPUs

Get the right GPU dedicated server, including the latest Ampere and Ada Lovelace architectures. These graphics processing units (GPUs) provide parallel processing power that surpasses traditional central processing units (CPUs). Power through intense AI workloads in seconds and integrate AI/ML routines into your applications.

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Latest Generation CPUs:

Our dedicated servers are equipped with the latest Intel® Xeon® CPU, delivering strong processing power and intense bus bandwidths to keep the GPU busy and your costs down.

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Fast NVMe Storage:

Benefit from fast storage speeds with NVMe SSDs, which offer significantly better read and write performance than traditional SATA SSDs, again powering intense I/O workloads for the GPU to process.

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High-Bandwidth Network:

Our GPU servers are connected to a high-bandwidth, low-latency network, ensuring rapid data transfer between all layers of the networking stack.

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Customizable Server Configurations

Tailor your GPU-dedicated server to your specific needs. Choose from a variety of CPU, RAM, storage, and networking options. Choose to split GPU usage with NVlink, or get exclusive GPU access with our dedicated server hosting.

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Root Access and Control

Enjoy full root access and control over your server environment, enabling you to install and configure software as needed. Need bespoke GPU driver versions, or perhaps PyTorch. You can install whatever you need with root access. We also provide remote server management and tools for added convenience from an intuitive UI on our Web Console.

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Reliable Infrastructure

Our GPU servers are housed in modern data centers with redundant power, cooling, and network connectivity, promoting uptime. Atlantic.Net is proud to offer a 100% Uptime SLA.

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Comprehensive Support from Your Hosting Provider

We understand that reliable performance is crucial. As your hosting provider, Atlantic.Net offers technical support to help you manage your powerful servers and ensure optimal performance for your high-performance computing capabilities.

We handle the server management, allowing you to focus on your core work. This commitment to cost efficiency and ensuring optimal performance makes us a leading choice among GPU hosting providers. We also support NVIDIA's multi-instance GPU technology.

Optimized Software Stack for Peak GPU Performance

To maximize computing power for your compute-intensive tasks, Atlantic.Net's GPU Cloud Accelerated by NVIDIA provides a finely tuned software stack that ensures optimal performance and streamlines your AI/ML workflows.

NVIDIA Drivers and CUDA Toolkit

Unlock the full potential of the dedicated GPU card with the latest NVIDIA drivers, optimized for AI/ML. The included NVIDIA CUDA Toolkit provides a comprehensive development and deployment environment for GPU-accelerated applications, giving you granular control over your high-performance computing resources.

NVIDIA cuDNN

Accelerate model development and deployment with NVIDIA cuDNN. This GPU-accelerated library delivers highly optimized routines for neural network training and inference, directly integrated into our GPU VPS and dedicated server offerings.

Docker with NVIDIA Container Toolkit

Ensure consistency and reliability of cloud services across diverse environments. Our custom GPU stack can integrate Docker with the NVIDIA Container Toolkit, simplifying the deployment of GPU-accelerated containers for image data and other complex workloads.

NVIDIA NGC Integration

Jumpstart your AI/ML projects with NVIDIA NGC. Get direct access to a vast repository of pre-trained models, SDKs, and optimized frameworks that empower you to accelerate your development lifecycle from initial concept to final deployment.

Dedicated GPU Server Use Cases

Our GPU-dedicated powerful servers are suitable for a range of compute-intensive applications, including:

  • Artificial Intelligence (AI): Train and deploy AI models efficiently.
  • Machine Learning (ML): Accelerate machine learning tasks, such as image recognition and natural language processing.
  • Deep Learning: Support the development of complex deep learning models with large datasets.
  • High-Performance Computing (HPC): Handle demanding high-performance computing tasks such as scientific simulations, financial modeling, and genomic research.
  • Graphics and Video Rendering: Create visuals for video games, 3D animation, visual effects, and video rendering efficiently.
  • Data Analytics: Analyze large datasets and gain insights with accelerated data processing.
  • Cloud Gaming: Deliver smooth gaming experiences with GPU instances optimized for cloud gaming.
  • Scientific Computing: Run complex scientific computing workloads effectively.
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Benefits of GPU Dedicated Servers

Dedicated GPU servers offer a range of benefits for handling resource-intensive applications and high-volume data processing.

Some of the key advantages include:

  • Enhanced processing speed: GPU servers perform complex calculations much faster than CPU-based servers by leveraging parallel processing. This speed is crucial for applications in AI, scientific research, and media production, where tasks involve vast data sets and require rapid computation.
  • Scalability for high-demand applications: GPU servers can scale efficiently to meet the demands of computationally heavy workloads. This scalability supports applications that grow in complexity, such as large machine learning models or real-time analytics, enabling them to handle more extensive and demanding datasets over time.
  • Efficient resource utilization: By offloading specific tasks to the GPU, applications can use server resources more efficiently, freeing up the CPU for other processing tasks. This efficiency optimizes performance across applications, enhancing overall server responsiveness.
  • Reduced processing time for data-intensive workloads: GPU servers accelerate tasks that traditionally require long processing times, such as rendering, simulation, and model training. This reduction in time helps organizations deliver results faster, boosting productivity in workflows dependent on high-speed computation.
  • Support for modern software frameworks: GPU servers are compatible with leading software frameworks like CUDA, TensorFlow, and PyTorch, which are optimized for GPU acceleration. This support enables developers and researchers to integrate cutting-edge libraries for advanced analytics and AI model development.
  • Improved data processing in real-time: GPU servers handle real-time data processing effectively, making them ideal for applications that require instant results, such as video processing, virtual reality, and streaming. Real-time capabilities allow businesses to deliver enhanced user experiences in dynamic environments.

Why Consider an Atlantic.Net GPU Dedicated Server?

Here's what sets Atlantic.Net apart:

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Proven Expertise

Operating since 1994, Atlantic.Net is an established provider of cloud and dedicated hosting solutions. With over two decades of experience in cloud and dedicated hosting, we understand the demands of high-performance computing.

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Optimized Performance

Our high-performance GPU servers are optimized to deliver the computing power needed for demanding tasks. Engineered for maximum throughput, delivering the raw power you need for demanding AI/ML and HPC workloads.

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Industry Leading Reliability

We focus on providing a robust infrastructure and high uptime for smooth application performance.

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Robust Security

Your data is protected by comprehensive security measures, including encryption, access controls, and regular audits.

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Dedicated Support

Our expert support team is available 24/7 to assist you with any technical challenges.

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Exceptional Value

We offer competitive pricing and flexible plans to suit various budgets and needs, including options for GPU rental and multiple GPUs.

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Compliance

Our solutions meet industry standards, including HIPAA, HITECH, PCI DSS, and SOC 2 and 3 compliance.

How GPU Dedicated Servers Work

GPU Architecture and Functionality

GPUs are designed with a large number of cores that execute multiple operations concurrently, making them well-suited for parallel processing. This architecture contrasts with CPUs, which typically have fewer, more powerful cores optimized for sequential processing. In a GPU, thousands of small cores work together to perform many calculations simultaneously, enabling efficient handling of complex computations and large datasets.

GPUs are equipped with specialized cores optimized for different tasks, which enhance their performance across various applications. For instance,

  • CUDA cores are the standard for general parallel computations, ideal for applications such as machine learning and simulations.
  • Tensor cores, available in GPU computing, are specifically designed for accelerating deep learning tasks like matrix operations. These are critical in training and inference for AI models.
  • RT cores, or ray-tracing cores, handle real-time rendering of realistic lighting and shadows, making them essential in gaming and visualization.

Some GPUs also support sparsity-aware operations, where sparsity cores optimize processing by skipping redundant data points.

In addition to core types, memory plays a significant role in GPU performance. DDR (Double Data Rate) memory, such as GDDR6, is commonly used for high-speed data access, making it suitable for most computational workloads.

Advanced memory types like HBM (High Bandwidth Memory) provide greater bandwidth and energy efficiency, making them ideal for memory-intensive tasks like large-scale scientific simulations, or AI training.

Integration into Server Environments

Integrating GPUs into server environments involves configuring hardware and software to maximize the GPU’s processing capabilities. GPU servers are equipped with one or more GPU cards connected to the server's motherboard, typically through PCIe slots, which offer high-speed data transfer rates. These cards are often housed in specialized enclosures or mounted in dedicated servers, designed with adequate cooling systems to handle the heat generated by intensive GPU processing.

On the software side, GPU integration requires compatible drivers, libraries, and APIs like CUDA or OpenCL, which allow applications to access the GPU's processing power. This setup enables the efficient use of resources across various applications, from data processing in scientific research to high-definition video rendering used in media production. Additionally, server environments often include resource allocation tools, such as Kubernetes or Docker, to manage workloads and scale resources dynamically.

Get Started with GPU Dedicated Server Hosting

Contact our sales and technical support team today to learn more about our GPU dedicated server hosting solutions and how they can benefit your business.

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- Jason Coleman

VP of Information Technology, Orlando Magic

"After evaluating a range of managed hosting options to support our data operations, we chose Atlantic.Net because of their superior infrastructure and extensive technical knowledge."

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- Erin Chapple

General Manager for Windows Server, Microsoft Corp.

"Atlantic.Net’s support for Windows Server Containers in their cloud platform brings additional choice and options for our joint customers in search of flexible and innovative cloud services."

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