GPU-32xCPU-384GB-3xL4 by UpCloud

A high-memory GPU server featuring three hardware accelerators and shared compute resources for parallel processing and machine learning workloads.

The UpCloud GPU-32xCPU-384GB-3xL4 is a GPU-accelerated server running on the KVM hypervisor with an x86_64 architecture. It features 32 shared vCPUs and 384.0 GB of system memory, providing 12.0 GB of RAM per core. Parallel processing acceleration is delivered by three NVIDIA L4 Ada Lovelace GPUs, providing a combined 72 GB of VRAM. This instance does not include local storage, requiring external storage volumes. While the shared CPU allocation model is a tradeoff for CPU-bound tasks, the high memory capacity and triple-GPU configuration make it suitable for machine learning inference, data science, and rendering workloads.