# DigitalOcean Announces GPU Droplets Accelerated by NVIDIA HGX B300

DevFeed: [DigitalOcean Announces GPU Droplets Accelerated by NVIDIA HGX B300](<https://devfeed.tech/articles/powering-the-next-leap-in-ai-gpu-droplets-accelerated-by-nvidia-hgxtm-b300-are-now-available-on-digitalocean-19865.md>)

Original publisher: [Read original article](<https://www.digitalocean.com/blog/coming-soon-gpu-droplets-nvidia-b300s>)

Author: Waverly Swinton

Published: 2025-12-15T17:51:51Z

Content type: release

Language: en

Sources: [DigitalOcean](<https://devfeed.tech/sources/digitalocean.md>)

Topics: [Digital Ocean](<https://devfeed.tech/topics/digital-ocean.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [Blackwell](<https://devfeed.tech/topics/blackwell.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [virtual machines](<https://devfeed.tech/topics/virtual-machines.md>), [High-Performance Computing](<https://devfeed.tech/topics/high-performance-computing.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [Generative AI](<https://devfeed.tech/topics/generative-ai.md>), [data analytics](<https://devfeed.tech/topics/data-analytics.md>), [Multi-GPU](<https://devfeed.tech/topics/multi-gpu.md>), [long-context](<https://devfeed.tech/topics/long-context.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [blackwell](<https://devfeed.tech/tags/blackwell.md>), [compute](<https://devfeed.tech/tags/compute.md>), [digitalocean](<https://devfeed.tech/tags/digitalocean.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [high-performance-computing](<https://devfeed.tech/tags/high-performance-computing.md>), [inference](<https://devfeed.tech/tags/inference.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [long-context](<https://devfeed.tech/tags/long-context.md>), [multi-gpu](<https://devfeed.tech/tags/multi-gpu.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [product-updates](<https://devfeed.tech/tags/product-updates.md>), [real-time](<https://devfeed.tech/tags/real-time.md>)

## AI overview

DigitalOcean announces GPU Droplets accelerated by NVIDIA HGX B300, describing the platform's intended benefits for AI training, inference, generative AI, data analytics, and high-performance computing workloads.

## Source excerpt

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. Why NVIDIA HGX™ B300? 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. For AI-native enterprises running large reasoning models and long-context workloads, this enables: -Reduced model offloading and improved time-to-first-token -Higher sustained throughput under concurrency -More efficient multi-GPU scaling -Improved tokens-per-second per dollar Unlike GPU capacity providers, DigitalOcean integrates inference-optimized