Many organizations report that spending on cloud migration exceeds their planned budgets, with three-quarters indicating cost overruns. This can be attributed to various factors, including unexpected complexities in the migration process and the need for additional resources to manage the transition effectively.

IT executives often struggle to scale their AI/ML investments effectively, which makes it difficult to justify the return on investment. VMware vSphere 8 addresses this by allowing efficient scaling of GPU resources, supporting up to 8 vGPUs per VM and enabling the deployment of up to 32 GPUs and NICs in passthrough mode per VM.

The rising demand for infrastructure services can lead to fewer computing resources available for workloads, which in turn increases overall costs. VMware vSphere 8 helps mitigate this by achieving higher workload consolidation per core and improving the performance of modern distributed workloads through network function acceleration on the DPU.