GPU-16xCPU-192GB-3xL4 by UpCloud

A GPU-accelerated virtual server featuring triple NVIDIA L4 GPUs and high system memory capacity for parallel computing workloads.

The UpCloud GPU-16xCPU-192GB-3xL4 is a KVM-based virtual server designed for GPU-accelerated workloads. It features 16 vCPUs on an x86_64 architecture with a shared CPU allocation model, paired with 192.0 GB of system memory. The hardware configuration includes three NVIDIA L4 GPUs from the Ada Lovelace family, delivering a total of 72 GB of VRAM. This instance does not feature local storage, requiring external storage volumes for data persistence. With a high memory-to-core ratio of 12.0 GB per vCPU, this server is structured for memory-intensive parallel processing. The combination of triple GPUs and substantial system memory makes it suitable for machine learning inference, data science, and graphics rendering workloads, though the shared CPU allocation represents a performance tradeoff for sustained CPU-bound tasks.