Choosing the Right GPU Droplet for your AI/ML Workload

Choosing the Right GPU Droplet for your AI/ML Workload DigitalOcean Gradient AI™ GPU Droplets for large model training, fine-tuning, and high-performance computing (HPC) DigitalOcean Gradient AI™ GPU Droplets for cost-effective inference and graphical workloads Benefits of GPU Droplets About the author Try DigitalOcean for free By Waverly Swinton Updated: June 11, 2025 4 min read GPU Droplets are now DigitalOcean GradientAI GPU Droplets. Learn more about DigitalOcean GradientAI , our suite of AI products. Whether you’re new to AI and machine learning (ML) or a seasoned expert, looking to train a large language model (LLM) or run cost-effective inference, DigitalOcean has a GPU Droplet for you. We currently offer seven different GPU Droplet types from industry-leading brands - AMD and Nvidia - with more GPU Droplet types to come. Read on to learn more about how to choose the right GPU Droplet for your workload. AMD Instinct™ MI325X Use cases: Large model training, fine-tuning, inference, and HPC Why choose: AMD Instinct™ MI325X’s large memory capacity allows it to hold models with hundreds of billions of parameters entirely in memory, reducing the need for model splitting across multiple GPUs. Key benefits: Memory performance: High memory capacity to hold models with hundreds of billions of parameters, reducing the need for model splitting across multiple GPUs Memory performance: High memory capacity to hold models with hundreds of billions of parameters, reducing the need for model splitting across multiple GPUs Value: Offered at a competitive price point ($1.69/GPU/hr/contract) for a HPC GPU. Contact us to reserve capacity. Value: Offered at a competitive price point ($1.69/GPU/hr/contract) for a HPC GPU. Contact us to reserve capacity. Key performance benchmark: With 256 GB of HBM3E memory (vs. MI300X’s 192 GB), MI325X can handle significantly larger models and datasets entirely on a single GPU AMD Instinct™ MI300X Use cases: Generative AI LLM training, fine-tuning, inference, and HPC Why choose: AMD Instinct™ MI300X’s large memory capacity allows it to hold models with hundreds of billions of parameters entirely in memory, reducing the need for model splitting across multiple GPUs.