Common 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
Octo GPU (8x)¶
Optimized for extreme-scale training and enterprise HPC workloads
By GPU Type/Model¶
Nvidia H100 NVL¶
94GB HBM3 memory per GPU, optimized for AI/ML workloads
Nvidia L40S¶
48GB GDDR6 memory per GPU, ideal for inference and training