While Vultr Cloud GPU provides the exceptional acceleration required for modern AI workloads, certain tasks can misuse GPU resources. CPUs can handle tasks such as context retrieval and agent orchestration, allowing GPUs to focus exclusively on reasoning and inference. Teams can then utilize fewer GPUs to achieve the same output, or maximize results using the same GPU investment. Similarly, for workloads deployed on Vultr Serverless Inference, Vultr Cloud Compute can provide real-time data processing, enabling models to operate on the most up-to-date context. CPUs can even handle smaller AI workloads, such as SLMs, entirely on their own.

Vultr’s global footprint and low latency enable consistent performance on less memory, storage, and power, with a range of compute plans tailored to varying workload demands.