Launching today

Cloud Acropolis Kubernetes

Launching today

Kubernetes pools with dedicated vCPU, NVMe and shared GPU

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Kubernetes pools with dedicated vCPU, NVMe and shared GPU

2 followers

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Cloud Computing Platforms

Cloud Acropolis Kubernetes pools from €29/month. Every package includes dedicated vCPU, Ceph-backed NVMe storage, a dedicated public IPv4, S3-compatible object storage, nested Kubernetes clusters (KubeVirt) and unlimited 1 Gbit/s bandwidth. Optional shared NVIDIA V100 GPU slices (8, 16 or 32 GB VRAM) for containers. Run containers and Linux or Windows VMs from the web UI, API or kubectl. Term discounts up to 40%. 24/7 email and ticket support, 4-hour MTTR..

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Launch tags:Platformers•Developer Tools•Artificial Intelligence

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Hi Product Hunt, we're Cloud Acropolis. Our Kubernetes pools come in three sizes, Dev (€29/month), Pro (€79) and Scale (€169), each with a shared NVIDIA V100 GPU option. Every package includes dedicated vCPU, Ceph-backed NVMe storage, a dedicated public IPv4, S3-compatible object storage and nested Kubernetes clusters, with unlimited 1 Gbit/s bandwidth. The GPU memory slice is enforced per workload, the compute share is cooperative, and it works for containers only, not VMs. Longer terms lower the monthly price by up to 40%. We'd love your feedback on the packages, the pricing and what you'd want added.

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1d ago

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20h ago

Do you share GPUs between workloads, and what slice size do you actually need?

We just launched Cloud Acropolis Kubernetes, where the GPU option is a shared NVIDIA V100 sliced into 8, 16 or 32 GB of VRAM per workload. We'd like to hear from people running inference or fine-tuning: is a fraction of a GPU enough for your workloads, or do you always need a whole card? And which VRAM size would cover most of your models?
https://cloudacropolis.com/kuber...

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