Netweb Technologies has unveiled Skylus.ai, an innovative solution for optimizing GPU resource management in AI labs. Skylus.ai is a powerful appliance designed to streamline the use of multi-vendor GPU and CPU resources, offering an efficient, vendor-agnostic solution that maximizes GPU utilization for AI workloads, including GenAI. The platform simplifies the setup of a GPU-based AI infrastructure by allowing flexible resource allocation, ensuring that organizations can adapt to their specific needs, whether they are using CPUs, full GPUs, or slices of multi-instance GPUs.
The Skylus.ai platform also integrates seamlessly with Tyrone HyperScale NAS—ParallelStor, providing high throughput and low latency, which is crucial for large-scale AI applications. Additionally, Skylus.ai features Kubyts, a pre-tested, pre-built workbench with optimized, ready-to-deploy container images, allowing organizations to simplify application deployment and reduce the complexity of setting up AI environments from scratch.
Skylus.ai caters to industries like pharmaceuticals, finance, education, automotive design, and any organization looking to harness the power of AI. It also supports Research as a Service (ReaaS) and Innovation as a Service (IaaS), enabling smooth AI adoption across various industries and use cases.
By transforming static resource allocation into a dynamic, composable model, Skylus.ai optimizes resource utilization, reduces costs, and accelerates collaboration and experimentation. The integration with Tyrone HyperScale NAS—ParallelStor further enhances its capability to manage large data volumes, offering a unified data management solution across both on-premises and cloud environments.