AMD AI GPU Computing
Unified workflow capability for AI and HPC workloads on AMD Instinct GPUs — provision instances, deploy LLMs, monitor performance, and manage cloud credits. Designed for AI researchers, ML engineers, and HPC developers.
What You Can Do
MCP Tools
list-gpu-instances
List all AMD Instinct GPU compute instances in the developer cloud.
create-gpu-instance
Launch an AMD Instinct GPU instance (MI300X, MI250, MI210) for AI training or HPC.
get-gpu-instance-status
Check the current status and configuration of an AMD GPU compute instance.
monitor-gpu-performance
Get real-time GPU utilization, memory usage, temperature, and power draw for an AMD instance.
deploy-llm
Deploy a large language model on AMD Instinct GPUs using vLLM for high-throughput inference.
list-deployed-models
List AI models deployed and serving on AMD Instinct GPUs.
check-credit-balance
Check available AMD Developer Cloud GPU credit balance and usage history.
terminate-instance
Terminate an AMD GPU compute instance to stop billing and release resources.