Zillion Network provides on-demand access to high-end GPU resources via bare metal, virtual machines, and Kubernetes orchestration. The platform accelerates AI deployment by managing hardware sourcing, cluster deployment, and site reliability engineering for high-performance computing environments. They offer streamlined management, continuous monitoring, and optimization for large-scale GPU infrastructure.
Funding
Funding not disclosed
Founders
Product
Problem
Building and managing large-scale GPU clusters for AI and HPC workloads is complex and time-consuming, often resulting in delayed deployments and increased failure rates. Sourcing the necessary hardware, setting up high-speed networking, and configuring parallel frameworks across multiple nodes adds significant overhead. Troubleshooting and maintaining peak performance further strains resources and expertise.
Solution
Zillion Network provides a platform for rapidly sourcing, deploying, and managing GPU infrastructure, offering bare metal, virtual machines, containers, and notebook environments. The platform streamlines hardware deployment and system provisioning, automating infrastructure as code and providing centralized management for clusters of 10,000+ servers. Zillion Network simplifies the deployment of AI infrastructure by offering pre-built containers and Helm charts for NVIDIA Inference Microservices, along with industry-standard APIs and optimized inference engines. Their advanced Site Reliability Engineering (SRE) approach reduces failure rates through continuous monitoring, troubleshooting, and optimization of GPU utilization.
Target Audience
The primary target audience includes organizations and researchers involved in AI, machine learning, and high-performance computing who require readily available and expertly managed GPU resources.
Features
- Rapid deployment of GPU resources, including bare metal servers, virtual machines, containers, and Jupyter notebooks
- Support for a range of NVIDIA GPUs, including HGX H100, L40S, RTX 6000 Ada, and RTX 4090
- Automated infrastructure-as-code deployment for scalable and reproducible environments
- Centralized management of large-scale GPU clusters with 10K+ servers
- Pre-built containers and Helm charts for NVIDIA Inference Microservices (NIM)
- Integration with high-speed networking solutions like InfiniBand and RoCEv2
- Continuous monitoring and troubleshooting to minimize downtime and maintain peak performance
- Optimization of GPU utilization through workload balancing
- Kubernetes cluster deployment and management at scale