cloud computing

Existing virtualization technologies don't easily adapt to GPU workloads, requiring significant custom work to optimize performance. Multi-tenant GPU virtualization friction contributes to widespread GPU underutilization, forcing cloud providers to abandon multi-tenancy for bare metal single-tenant models.

Cloud GPU offerings bundle compute with memory in fixed ratios, forcing organizations to purchase excess compute capacity when their primary constraint is memory. This inflexible strategy leads to significant resource underutilization and increased costs.