Use Cases
End users can select the VM configuration best suited for on their computational requirements.
Single GPU (1x)¶
Perfect for development, prototyping, and small-scale inference
Dual GPU (2x)¶
Ideal for medium-scale training and distributed workloads
Quad GPU (4x)¶
Designed for large-scale training and high-performance computing
By GPU Type/Model¶
Nvidia H200 SXM¶
141GB HBM3e memory per GPU, optimized for AI/ML workloads