AI Cloud
From rapid prototyping to foundation training to scalable inference
Compute
GB300 NVL72
New1x tray to 2+ racks · NVLink v5
Purpose-built for high-performance experimentation, training, and inference. Self-service access to 1×, 2×, 4×, 8× GPU configurations
Set up and launch — directly from the console, CLI, API, SDK, or Terraform. No sales calls, no waitlists
GB300 SXM6 288GB VRAM GPUs
Price per GPU
$8.620/h B300 SXM6 268GB VRAM GPUs
Price per GPU
$7.500/h B200 SXM6 180GB VRAM GPUs
Price per GPU
$6.110/h H200 SXM5 141GB VRAM GPUs
Price per GPU
$4.000/h H100 SXM5 80GB VRAM GPUs
Price per GPU
$3.250/h A100 SXM4 80GB VRAM GPUs
Price per GPU
$1.790/h A100 SXM4 40GB VRAM GPUs
Price per GPU
$1.290/h Tesla V100 16GB VRAM GPUs
Price per GPU
$0.1700/h RTX PRO 6000 96GB VRAM GPUs
Price per GPU
$1.890/h L40S 48GB VRAM GPUs
Price per GPU
$1.370/h RTX 6000 Ada 48GB VRAM GPUs
Price per GPU
$1.040/h RTX A6000 48GB VRAM GPUs
Price per GPU
$0.6100/h
AMD EPYC Rome/Milan 16–480GB RAM CPUs
Price per CPU
$0.0070/h AMD EPYC Genoa 720–1440GB RAM CPUs
Price per CPU
$0.0070/h RTX PRO 6000 CC 96GB VRAM GPUs
Price per GPU
$1.928/hProvision compute resources in as little as 30 seconds. Delete instances immediately.
Clone volumes or detach after instance deletion. Switch between storage types with ease.
Provision and manage resources with the web console, CLI, API, SDK, Terraform, or SkyPilot.
Replicate environments on launch with startup scripts and reusable base images.
Access cutting-edge hardware with zero-friction, self-service access.
Avoid setup overhead with pre-installed NVIDIA drivers, CUDA toolkit, and dev environment.
Everything you need to run workloads across the full AI lifecycle
As an NVIDIA Preferred Partner, Verda delivers early access to the latest hardware while adhering to the highest security & compliance standards and offering over 99.95% uptime.
AICPA
SOC 2C5
ISO
27001, 27017, 27018, and 27701
“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
Self-service GPU clusters with InfiniBand interconnect, ready in under 20 minutes and available with pay-as-you-go pricing.
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
