AI Bare Metal and Orchestration Platform by InfraCloud

InfraCloud’s AI bare metal platform delivers ready-to-use GPU instances with configured software stack, so you can skip the setup and dive right into your work. Our AI Orchestration platform uses Kubernetes to manage AI resources smoothly, letting you share GPUs and maximize efficiency without the hassle of configuration and setup.

How InfraCloud's AI Bare metal and Orchestration Platform helps you?

On-Demand GPUs with Fast Booting and Reliable Performance

Offer high-performance GPUs whenever platform users need them, billed by the minute or hour for flexibility. Our platform ensures fast booting instances, so users can jump into work right away. Robust storage and networking built in enable smooth experience, and uninterrupted performance—even with demanding AI workloads.

Be Productive from the First Hour with ML in a Box

Start your machine learning experiments and projects right away using our preconfigured instances. With ML out of the box, you can dive into your work without delay, selecting your preferred framework—like TensorFlow or PyTorch—and using a familiar IDE such as Jupyter Notebooks or VSCode. Everything you need is set up with AI bare metal platform, enabling a smooth transition from setup to productive coding in no time.

Achieve Effective Auto-Healing and Auto-Scaling with Kubernetes

Kubernetes orchestration helps you create a platform that automatically heals and scales your containerized workloads. This smart management of GPU cloud resources helps lower costs by using features like scale-to-zero and cluster autoscaler. You’ll experience smooth performance while optimizing resource use, so you only pay for what you need, all while keeping your AI applications reliable and efficient.

Efficient Resource Allocation for Multiple Workloads

With AI platform, you can allocate resources to different workloads by combining various scheduling techniques tailored to your needs. Our platform comes with options like fair share scheduling, guaranteed quotas, or GPU over-provisioning that allows you to match specific AI tasks with the best-suited hardware configurations, utilizing dynamic resource allocation and node pooling techniques for maximum efficiency and performance.

Monitor Your GPU Cloud Health with Built-In Observability

Keep a close eye on the health of your GPU cloud using our built-in observability. Proactive capacity planning helps you in maximizing uptime and making sure your AI infrastructure consistently meets demand. With real-time insights, you can quickly address potential issues and maintain smooth operations for your applications.

Looking to deploy AI on Bare Metal?

With AI bare metal and orchestration platform by InfraCloud, you can get high-performance GPU instances and a hassle-free setup, to focus on your projects without worrying about infrastructure. Our efficient resource management and seamless scaling ensure your AI applications run smoothly. Feel free to explore how we're helping organizations build AI cloud.