DigitalOcean lowers the barriers of entry for smaller businesses looking to leverage AI
DigitalOcean Holdings, Inc., the developer cloud optimized for startups and growing digital businesses, announced virtualized availability of NVIDIA H100 Tensor Core GPUs on its Paperspace platform. Paperspace, a leading provider of cloud infrastructure for highly scalable GPU-accelerated applications, now offers access to one of the market’s most powerful GPUs. This provides startups and growing digital businesses with state-of-the-art infrastructure crucial for developing the next generation of artificial intelligence/machine learning (AI/ML) applications. Through this offering and other recent enhancements, DigitalOcean continues to simplify cloud computing and provide an affordable, end-to-end solution for developing, deploying, and scaling AI models.
The surge in interest for accelerated AI computing from businesses looking to elevate their capabilities in AI/ML has fueled the demand for NVIDIA H100 GPUs. With their exceptional performance, these accelerators significantly reduce training iteration periods and model inference response times, making them ideal for running workloads such as large-scale AI model training as well as high-performance computing (HPC). NVIDIA H100 GPUs can be accessed on demand or reserved for a specific term limit, allowing customers to select the most cost-effective consumption model for their business needs.
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“While many vendors are optimizing their offerings to serve large enterprises, DigitalOcean is proud to offer startups and growing digital businesses with reliable and flexible access to NVIDIA H100 GPUs,” said Kanishka Roychoudhury, GM of AI/ML at DigitalOcean. “As we look ahead, DigitalOcean remains committed to providing solutions that offer superior performance and keep costs in check, lowering the barriers of entry for smaller businesses looking to leverage AI to improve profitability and efficiency.”
Customers can access these NVIDIA H100 GPUs as individual machines or as clusters, providing versatility for use cases ranging from multi-node model training to complex inferencing services. DigitalOcean has also made significant improvements to the underlying network infrastructure, now offering interconnect speeds of 3.2TBps to enable optimal performance for users operating one or more of these eight-chip configurations.
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“Businesses of all sizes are increasingly looking to AI to boost efficiency and better serve customers,” said Dave Salvator, Director of Accelerated Computing Products at NVIDIA. “The availability of NVIDIA H100 GPUs through DigitalOcean’s Paperspace platform will help empower the next generation of startups, providing greater access to the tools they need to develop cutting-edge AI products and solutions.”
“Training our next-generation text-to-video model with millions of video inputs on NVIDIA H100 GPUs on Paperspace took us just three days, enabling us to get a newer version of our model much faster than before,” said Naeem Ahmed, Founder at Moonvalley. “We also appreciate Paperspace’s stability and excellent customer support, which has enabled our business to stay ahead of the AI curve.”
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In addition to providing computing power, DigitalOcean is dedicated to ensuring AI/ML businesses have a seamless experience deploying their models into production through gradient deployments. These updates make it easier than ever for Paperspace platform users to deploy and scale modern AI applications, including:
- Simplified and more flexible container registry experience: The container registry experience has been redesigned, making it easier for fast-moving businesses to start off with a successful deployment. Users can now quickly link to popular container registries with streamlined container validation and management.
- Enhanced security for deployment endpoints: When creating a gradient deployment, customers can keep endpoints public or switch them to secure with the ability to manage permissions. These fortified deployment endpoints for Paperspace provide enhanced security, allowing for better control access.
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