Expanding our Agentic Inference Cloud: Introducing GPU Droplets Powered by AMD Instinct™ MI350X GPUs
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Expanding our Agentic Inference Cloud: Introducing GPU Droplets Powered by AMD Instinct™ MI350X GPUs Optimizing production inference with AMD Instinct™ MI350X Proven results for AI innovators Enterprise performance with predictable cost-efficiency and simple operations at the forefront What’s Next? About the author Connect with our sales team Related Articles Supabase Template is Now Available on DigitalOcean App Platform DigitalOcean Gradient™ AI Platform Now Integrates with LlamaIndex Now Available: Anthropic Claude Opus 4.6 on DigitalOcean’s Agentic Inference Cloud By Waverly Swinton Published: February 19, 2026 2 min read As our Agentic Inference Cloud continues to grow, we’re excited to announce the availability of new, high-performance GPU Droplets powered by AMD Instinct™ MI350X GPUs. By integrating these cutting-edge GPUs with our platform, we’re continuing to deliver the power and scale that leading AI-native companies and builders need to run their most complex inference workloads. The AMD Instinct™ MI350X Series sets a new standard for generative AI and high-performance computing (HPC). Built on the AMD CDNA™ 4 architecture, these GPUs are designed for the most demanding tasks: training massive models, high-speed inference, and complex scientific simulations. The capabilities of the GPUs allow optimization for the compute bound prefill phase, while enabling high-performance inference at low latency and high token generation throughput. This provides the ability to load large models and larger context windows, leading to supporting a higher inference request density per GPU. Paired with our optimized inference platform, these feature enhancements of AMD Instinct™ MI350X GPUs offer lower latency and higher throughput. We’ve already seen what’s possible when customers pair DigitalOcean’s optimized platform with AMD’s hardware. Earlier this year, we helped Character. AI achieve a 2X increase in production request throughput and a 50% reduction in inference costs. Now, customers like ACE Studio are using DigitalOcean software paired with AMD hardware to push the boundaries of music creation. “At ACE Studio, our mission is to build an AI-driven music workstation for the future of music creation,” said Sean Zhao, Co-Founder & CTO.
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