Sharon AI provides scalable, GPU-accelerated cloud infrastructure for AI and High-Performance Computing (HPC) workloads. It offers on-demand access to a diverse fleet of high-performance GPUs, virtual servers, and cloud storage, enabling organizations to accelerate complex computations and AI development without significant capital expenditure.
Funding
Funding not disclosed
Founders
Product
Problem
The complexity and cost of developing and deploying AI and High-Performance Computing (HPC) workloads often require significant upfront investment in specialized hardware and infrastructure. This creates a barrier for organizations needing to scale their computational capabilities for tasks such as model training, data analysis, and complex simulations.
Solution
Sharon AI provides a scalable, GPU-accelerated cloud computing infrastructure designed to meet the demands of AI and HPC workloads. The platform offers on-demand access to a diverse fleet of high-performance GPUs, virtual servers, and robust cloud storage solutions. This allows organizations to rapidly deploy AI development environments and accelerate complex computations without the need for substantial capital expenditure on physical hardware. By leveraging Sharon AI's infrastructure, businesses can optimize their operational costs and achieve faster time-to-results for their AI and HPC initiatives.
Target Audience
Primary customers include enterprises, startups, universities, and research institutions engaged in AI model training, deep learning, data modeling, scientific research, and other computationally intensive workloads.
Features
- GPU-as-a-Service (GaaS) offering access to NVIDIA H100 NVL, H200, L40s, A40, and AMD MI300X accelerators.
- High-Performance Computing (HPC) server configurations featuring Lenovo ThinkSystem SR675 V3 and SR685a V3, equipped with AMD EPYC processors and high-bandwidth GPU interconnects.
- Virtual Servers optimized for AI and HPC workloads, offering flexible resource allocation and support for various operating systems.
- S3-compatible Cloud Storage with high-speed access via a 200GBe network, designed for large AI datasets and model storage.
- Preconfigured AI environments including JupyterHub with PyTorch, Docker, Portainer, NVIDIA Container Toolkit, and Ollama integrations for rapid deployment.
- SHARON AI Supercluster, a 1K GPU cluster utilizing NVIDIA H200 GPUs and InfiniBand interconnects for large-scale AI training and inference.
- API-first approach for seamless integration with existing workflows and programmatic access to GPU infrastructure.
- Data centers located in Sydney (Equinix SY3/SY5) and Melbourne (NEXTDC M3) with plans for expansion, ensuring geographic redundancy and performance.