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FAQ

Questions

  • Can AstraGo run on our existing GPU servers?

    Yes. AstraGo works with existing NVIDIA GPU servers, and heterogeneous servers can be managed together on a single platform. We analyze your current infrastructure and requirements, then design and build a GPU cluster structure that fits your environment.

  • Which GPU environments are supported?

    AstraGo supports the full NVIDIA GPU lineup and can be designed around on-premise environments. It supports both AI training and inference workloads, and GPU clusters built from multiple servers can be managed as one.

  • How long does it take to deploy AstraGo?

    Installation usually takes about a day, though the timeline can vary with your environment. After that, we support your operations through configuration and optimization, stabilization, and training suited to your setup.

  • We want to use AstraGo in an air-gapped environment.

    AstraGo can be used in air-gapped environments and other settings where security matters. It can be deployed with your security and network requirements in mind, and supports operations suited to on-premise environments.

  • How do we get maintenance and technical support after deployment?

    AstraGo supports both AI training and inference workloads. GPU resources can be partitioned and allocated to match each workload, optimizing utilization so that several workloads run on a single GPU at the same time.

  • We want to run AI training and inference workloads together.

    AstraGo supports both AI training and inference workloads. GPU resources can be partitioned and allocated to match each workload, optimizing utilization so that several workloads run on a single GPU at the same time.

  • We would like advice on which AI infrastructure configuration suits us.

    Xiilab helps you adopt GPU infrastructure suited to your AI workloads and data center environment. Beyond GPU servers, we can advise on AI infrastructure that takes software and hardware into account together.

  • How do NVIDIA DGX and HGX differ?

    DGX is a complete AI system in which NVIDIA integrates hardware and software, while HGX is a platform on which OEM manufacturers build their own servers using NVIDIA GPUs and high-speed interconnect technology. The right configuration depends on your goals, existing infrastructure, and expansion plans.

  • Are the NVIDIA products Xiilab sells genuine?

    Yes. As an NVIDIA Partner, Xiilab provides both NVIDIA software and hardware. You can consult us about the NVIDIA products and AI infrastructure configuration you need.

  • How long does it take to adopt AI infrastructure?

    The timeline varies with the product and configuration. Once we confirm the products and environment you have in mind, we will share a detailed schedule.

  • Is maintenance and technical support available after purchase?

    Xiilab provides maintenance and technical support suited to your environment after the AI infrastructure is deployed. The exact scope of support and the after-sales policy depend on the products deployed and the contract terms.

  • Can we adopt XAIVA without replacing our existing CCTV?

    Yes. It can be deployed on your existing CCTV infrastructure. The configuration required may differ depending on the camera environment, the number of channels, and what you want to analyze.