Skylus.ai introduces a composable GPU workspace, a next-generation approach to GPU management that allows businesses to allocate, share, and scale GPU resources across various workloads. By offering a vendor-agnostic, and cost-effective infrastructure solution, Skylus.ai ensures optimal GPU utilization, seamless scalability, and faster AI deployment, making it the ultimate choice for enterprises seeking to maximize the value of their AI and HPC investments.
AI workloads require varying levels of CPU, GPU, Storage, and memory depending on the stage. A composable workspace platform enables organizations to allocate and scale resources based on workload demands with resource composability. GPUs, storage, and CPUs can be aggregated and disaggregated as needed, ensuring optimal utilization at each phase of AI model development.
HPC tasks such as simulations, genome sequencing, and scientific research demands enormous computation power that fluctuates based on the project stage and changing goals.Skylus.ai composable workspace allows AI and HPC environments to pool resources - GPU, memory, and storage resources required, even for short bursts from different servers and reallocate them in real-time.