Serverless GPUs for AI
Serverless GPUs for AI
More GPUs for Your AI Projects?
More GPUs for Your AI Projects?
On-demand access to remote GPUs on a massive scale, at lower prices in the market.
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Unlimited Scale for AI
Overcome GPUs scarcity and access thousands of GPUs from your Kubernetes cluster.
Flexible Cost Structure
Challenge the traditional GPUs renting model by accessing resources on demand wherever they are and at lowest prices.
Seamless Kubernetes Integration
Access GPUs from your local or cloud-based Kubernetes cluster with all the tools you already use and love.
GPUs Autoscaling
Fast spin-up times and responsive auto-scaling on demand without wasting time in renting wait queues.
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Zero capital
Avoid significant investments in on-prem hardware or long-term commitments with Cloud GPUs providers.
How It Works
Install the Agent
Download and install the k8sGPU Agent into your Kubernetes clusters. This lightweight agent creates a virtual node within your cluster, acting as a seamless bridge to remote GPUs. Developed based on Microsoft's Virtual Kubelet project, it ensures compatibility with your existing Kubernetes tools.
Launch Your Workloads
Once a virtual node is in place, schedule your ML/AI pods on it as you would on regular worker nodes. The k8sGPU Agent handles the dynamic allocation of remote GPUs and runs your pods on them as if they were in your local cluster.
Scale as Needed
Adapting to your project's changing demands is hassle-free with our solution. Our responsive K8sGPU auto-scaling dynamically allocates and deallocates remote GPUs in real-time, ensuring both optimal performance and cost-efficiency.
Reduce Budget Clutter
Most rented GPUs stay idle for over 12 hours a day, on average. With k8sGPU, you only pay for the actual GPU usage time. This eliminates the need for long-term rental commitments and reduces the entire GPUs rental costs.
Architecture
Cloud Native & Kubernetes ready Solution
![](https://k8sgpu.seewebcloud.com/wp-content/uploads/2024/05/architettura-desk.png)
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