On-Demand GPU Instances
Spin up GPU compute on demand — ideal for development, experimentation, and workloads with unpredictable resource requirements.
On-demand GPU compute powered by enterprise NVIDIA hardware — scale up for training runs, scale down for inference, and pay for exactly what you use.
Compute Options
Whether you need a single GPU for a few hours or a multi-node cluster for months, Archean Core provides enterprise-grade GPU compute without the commitment of dedicated hardware leasing.
Spin up GPU compute on demand — ideal for development, experimentation, and workloads with unpredictable resource requirements.
Pre-commit to GPU capacity for a defined period and unlock lower pricing — the right balance between flexibility and cost efficiency.
Extend your dedicated infrastructure with burst capacity during peak training periods — additional GPU nodes provisioned on demand alongside your reserved resources.
Pre-configured cloud environments with CUDA, cuDNN, PyTorch, TensorFlow, and Kubernetes — ready to run your training jobs from day one.
Optimised GPU inference endpoints with auto-scaling — serve your AI models at low latency without managing the underlying infrastructure.
GPU-enabled Kubernetes clusters for containerised AI workloads — with NVIDIA device plugin, monitoring, and auto-scaling preconfigured.
Why Archean Core Cloud
Every compute instance runs on genuine enterprise NVIDIA hardware — H100, H200, B200, L40S, and A100 — not consumer cards in a datacenter rack.
All compute runs in Archean Core's Norwegian datacenters — benefiting from renewable hydroelectric power and EU data residency.
Compute resources are provisioned with proper isolation — no performance degradation from other customers' workloads on the same physical hardware.
Unlike hyperscale cloud providers, Archean Core offers direct technical support — talk to people who know the infrastructure your workloads run on.
Contact us to discuss your compute requirements and receive a pricing proposal.