AI continues to evolve at an unprecedented pace, with new models and demanding workloads pushing the boundaries of what’s possible. From complex large language models (LLMs) to intricate scientific simulations, developers and businesses need access to the most powerful and efficient computing infrastructure. At DigitalOcean, we’re committed to providing the cutting-edge tools you need to build, deploy, and scale your AI initiatives with simplicity and affordability. That’s why we’re excited to announce that GPU Droplets accelerated by NVIDIA HGX™ B300 are coming soon to DigitalOcean, marking a significant upgrade to our GPU offerings.
The NVIDIA Blackwell Ultra accelerated computing platform represents a leap forward in AI reasoning. Designed for both training and inference, the NVIDIA HGX B300 offers substantial improvements in computational power, memory bandwidth, and energy efficiency compared to previous generations. The NVIDIA Blackwell architecture at the heart of the HGX B300 is not just about raw power; it’s also about efficiency and innovation. With 1.5X more dense Tensor Core FLOPS, enhanced attention performance, and significantly expanded memory, the HGX B300 is optimized for the most demanding AI workloads including generative AI, data analytics, and high-performance computing (HPC).
Featuring 7X more AI compute than NVIDIA Hopper platforms, 2.1TB of HBM3e memory, and high-performance networking integration with NVIDIA ConnectX-8 SuperNICs, Blackwell Ultra delivers breakthrough performance on the most complex workloads from agentic systems and reasoning, to real-time video generation.
Developers will find that fine-tuning LLMs, running complex simulations, or processing massive multimedia datasets becomes more efficient with Blackwell Ultra. This powerful combination of hardware and DigitalOcean’s streamlined cloud experience empowers you to push the boundaries of AI development.
Integrating NVIDIA HGX™ B300 into DigitalOcean’s GPU Droplet ecosystem means you can provision this immense power with the same ease and familiarity you’ve come to expect. Our GPU Droplets are designed for quick deployment, allowing you to spin up instances with pre-configured NVIDIA drivers and essential AI/ML frameworks in minutes. This removes the common hurdles of setup and configuration, letting you focus immediately on your code and models rather than infrastructure management. Whether you’re experimenting with new architectures or deploying production-grade AI services, our platform provides a robust and reliable foundation.
With this release, we’ll also be leveraging NVIDIA Spectrum-X Ethernet networking for the first time, a crucial step to maximize AI throughput. This purpose-built AI networking platform provides up to 1.6X higher overall AI networking performance compared to off-the-shelf Ethernet, translating directly into significantly faster training times for massive models like LLMs.
Other benefits of GPU Droplets with DigitalOcean include:
Cost effectiveness: GPU Droplets accelerated by NVIDIA are offered in flexible configurations (including single and eight GPU options), helping you to optimize costs for your specific use cases.
Seamless Integration: Leverage GPU Droplets with your existing DigitalOcean projects, including integration with our Kubernetes service.
Reliability: Benefit from enterprise-grade SLAs, HIPAA-eligibility and SOC 2 compliance, and the peace of mind that comes with building on DigitalOcean’s trusted cloud infrastructure.
Observability: Extends DigitalOcean Insights to provide free, zero-setup, real-time metrics—including utilization, temperature, memory, and performance—to help you monitor and optimize your AI/ML workloads.
The future of AI is here, and with DigitalOcean’s GPU Droplets accelerated by NVIDIA HGX™ B300, you have the power to shape it. We invite you to contact our sales team to explore the capabilities of the NVIDIA Blackwell architecture on our platform and experience firsthand how simplicity, performance, and affordability can fuel your next AI breakthrough.


