AI Cloud
From rapid prototyping to foundation training to scalable inference
Compute
GB300 NVL72
New1x tray to 2+ racks · NVLink v5
Self-service, multi-node clusters provisioned in 20 minutes. Pre-configured Kubernetes with Kueue or Slinky for Slurm workload management.
Multi-node GPU clusters with InfiniBand interconnect. Self-service availability via UI console, SDK, API, Terraform, or SkyPilot
4x GB300 SXM6 1152GB VRAM GPU trays
Price per 1x GPU
$9.065/h 8x B300 SXM6 2100GB VRAM GPU nodes
Price per 1x GPU
$7.881/h 8x B200 SXM6 1440GB VRAM GPU nodes
Price per 1x GPU
$6.487/h 8x H200 SXM5 1128GB VRAM GPU nodes
Price per 1x GPU
$4.370/h
Kubernetes 
Slinky Deploy NVIDIA GPU clusters with InfiniBand interconnect from console, API, or Terraform. No sales calls, no waitlists.
Scale cluster capacity with maximum flexibility. No upfront commitments, no minimum contract duration.
Provision GPU clusters in as little as 20 minutes — up to 50% faster than most AI neoclouds.
Manage workloads with pre-configured Kubernetes with Kueue or Slinky, complemented with storage, networking, and observability.
Avoid setup overhead with pre-installed NVIDIA drivers, CUDA toolkit, and dev environment.
Leverage bare-metal-level performance with continuous health checks.
We ship clusters with everything a distributed training job requires, pre-configured
Kubernetes with Kueue for job scheduling or Slinky for Slurm workload management. Terraform and SkyPilot integrations.
Performance metrics and audit logs — accessible in UI or fetched via API for ingestion into your Grafana, Prometheus, or Loki stack.
Proactive support from infrastructure engineers and optional co-engineering with Verda’s AI Lab.
SOC 2 Type II, C5, ISO 27001/27017/27018/27701 certified. GDPR compliant. Hosted in the Nordics on 100% renewable energy.
“Verda is the perfect mix of being nimble and having production-grade reliability for low-latency service like ours. Our startup times and compute costs both dropped significantly.”
Lars Vågnes
“Having direct contact between our engineering teams enables us to move incredibly fast. Being able to deploy any model at scale is exactly what we need in this fast moving industry.”
Iván de Prado
“Our entire language model journey is powered by Verda's clusters, from deployment to training. We can focus on achieving exceptional results without worrying about hardware issues.”
José Pombal
Fast access to the latest GPU instances from NVIDIA, with 1×–8× configurations and NVLink models available.
Learn moreAuto-scaling GPU containers for inference and batch jobs, scaling from zero to hundreds of GPUs, billed per use.
Learn moreHigh-speed NVMe virtual disks, attachable across GPU instances for low-latency reads, writes, and checkpoints.
Learn morePOSIX-compliant storage for concurrent multi-node access, ideal for shared datasets, scratch space, and distributed training.
Learn moreOCI-compliant image storage co-located with Verda compute, for fast pulls into Serverless containers, Batch jobs, and other services.
Learn more
Built in Europe, trusted globally
From rapid prototyping to foundation training and scalable inference — on a single full-stack AI cloud