DigitalOcean Launches NVIDIA HGX H100 GPU Droplets in Europe

NewsDigitalOcean Launches NVIDIA HGX H100 GPU Droplets in Europe

In today’s rapidly evolving technological landscape, the demand for high-performance computing resources is skyrocketing. This surge is especially evident in the realm of advanced training and inference workloads, where developers and businesses seek efficient solutions to meet their growing computational needs. Across Europe, there is a substantial appetite for robust Graphics Processing Units (GPUs) that can be accessed easily and locally, to keep innovation alive and thriving. Recognizing this need, DigitalOcean has announced a significant development that promises to empower European developers with cutting-edge computational capabilities.

DigitalOcean, a prominent cloud infrastructure provider, has rolled out NVIDIA HGX H100s as GPU Droplets in their Amsterdam data center. This strategic integration brings the formidable NVIDIA HGX H100 GPUs to the heart of Europe, simplifying access for developers and digital-first enterprises to leverage high-grade performance. DigitalOcean’s commitment to providing simplicity and affordability is evident in this latest offering, which is designed to support the technological ambitions of its European clientele.

The NVIDIA HGX H100 is renowned for its exceptional training speed, making it ideal for a variety of applications. These include training Large Language Models (LLMs), performing inference tasks, and engaging in high-performance computing. The introduction of these GPUs in DigitalOcean’s infrastructure is a testament to their dedication to supporting complex use cases and providing their customers with the tools needed to excel in their respective fields.

A prime example of the effectiveness of NVIDIA HGX H100s is demonstrated by WindBorne Systems. This innovative company, known for operating the largest balloon constellation globally, also pioneers in developing advanced deep learning models for real-time forecasting. WindBorne Systems relies on the power of NVIDIA HGX H100s provided by DigitalOcean to train their models. The combination of NVIDIA’s cutting-edge technology and DigitalOcean’s robust infrastructure has enabled WindBorne Systems to conduct model training more efficiently and cost-effectively compared to other cloud solutions.

Anuj Shetty, a Machine Learning Engineer at WindBorne Systems, highlighted the benefits of using DigitalOcean’s resources. He emphasized the availability of two terabytes of RAM on each node, which facilitates the training of larger models. This accessibility to resources, often hard to find elsewhere, has significantly aided their operations and showcases DigitalOcean’s ability to cater to demanding computational requirements.

GPU Droplets from DigitalOcean are designed with user-friendliness in mind. With just a few clicks, users can launch these droplets without the hassle of managing complex infrastructure. This simplicity is further enhanced by the introduction of the Inference-Optimized Image, a pre-configured environment that comes with built-in optimizations such as CUDA and FlashAttention. This feature allows developers to transition seamlessly from launching a droplet to conducting live inference, minimizing setup time and maximizing productivity.

Security and compliance are paramount in today’s digital environment. DigitalOcean ensures that all GPU Droplets adhere to stringent standards, being HIPAA-eligible and SOC 2 compliant. This commitment to security provides users with peace of mind, knowing their data and operations are in safe hands. Furthermore, these powerful droplets can be integrated with DigitalOcean’s managed Kubernetes service and the DigitalOcean Gradient AI TM Platform, facilitating the development and scaling of comprehensive, AI-driven applications.

For those interested in utilizing NVIDIA HGX H100, DigitalOcean offers flexible pricing options. Users can spin up these GPUs on-demand for as low as $2.99 per GPU hour, with potential savings available through a multi-month commitment at $1.99 per GPU hour. This pricing strategy ensures that high-performance computing resources remain accessible to a wide range of users, from startups to established enterprises.

DigitalOcean’s commitment to providing diverse GPU options is evident in their offerings across various data centers. In addition to the NVIDIA HGX H100s, they offer a full range of NVIDIA GPU Droplet options at competitive prices. These include the NVIDIA HGX H200s, the NVIDIA RTX 4000 Ada Generation, the NVIDIA RTX 6000 Ada Generation, and the NVIDIA L40S. Moreover, their AMD offerings continue to expand, with the recent addition of AMD Instinct MI325X GPUs complementing the existing AMD Instinct MI300X GPUs.

For those seeking to delve deeper into the capabilities of these GPUs and learn how to optimize AI workloads with DigitalOcean, a dedicated webinar is scheduled for October 15. This webinar promises to provide valuable insights and guidance for developers looking to harness the full potential of DigitalOcean’s GPU offerings.

In summary, DigitalOcean’s introduction of NVIDIA HGX H100s in their Amsterdam data center marks a significant milestone in their mission to empower European developers with top-tier computational resources. By combining high performance with simplicity and affordability, DigitalOcean is poised to play a pivotal role in advancing technological innovation across the continent. For more detailed information, you can visit DigitalOcean’s official site and explore the full range of their GPU offerings and services.
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Neil S
Neil S
Neil is a highly qualified Technical Writer with an M.Sc(IT) degree and an impressive range of IT and Support certifications including MCSE, CCNA, ACA(Adobe Certified Associates), and PG Dip (IT). With over 10 years of hands-on experience as an IT support engineer across Windows, Mac, iOS, and Linux Server platforms, Neil possesses the expertise to create comprehensive and user-friendly documentation that simplifies complex technical concepts for a wide audience.
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