All activity
On traditional cloud platforms, each developer uses a server with its own dedicated GPU. On Thunder Compute, developers share a pool of GPUs, which are network-attached to CPU-only cloud instances on demand. In this system you do not pay when GPUs are idle.
Thunder Compute
GPU cloud platform for AI/ML developers
Carl Peterson
left a comment
My friend Brian and I were frustrated with the experience of developing with GPUs and started building Thunder Compute as a side project during college. Brian's research lab used Excel to sign up for GPUs two weeks in advance which got us thinking about better ways to allocate GPUs. We began building the GPU virtualization that became the backbone for Thunder Compute.
Two years later we went...
Thunder Compute
GPU cloud platform for AI/ML developers