DigitalOcean has launched observability metrics for GPU Droplets and DOKS clusters, enabling users to monitor GPU performance metrics like utilization, temperature, and power consumption. These features require no setup and provide real-time insights to optimize AI workloads.

DigitalOcean offers a range of GradientAI GPU Droplets tailored for various AI and machine learning workloads, including large model training and inference. Users can choose from multiple GPU types, including AMD and NVIDIA options, each with distinct memory capacities and performance benchmarks, all designed for cost-effectiveness and high efficiency. New users can benefit from a promotional credit to explore these GPU Droplets.

DigitalOcean has announced the availability of AMD Instinct MI300X GPUs for its customers, enhancing options for AI and machine learning workloads. These GPUs are designed for high-performance computing applications, enabling large model training and inference with significant memory capacity. Additionally, AMD Instinct MI325X GPUs will be introduced later this year, further improving performance and efficiency for AI tasks.