AI Cloud
From rapid prototyping to foundation training to scalable inference
Compute
GB300 NVL72
New1x tray to 2+ racks · NVLink v5
Prototype on a single GPU, scale
to multi-node training, and
serve in production.
Everything you need to run workloads across the full AI lifecycle
Full-stack AI cloud with high-performance hardware, transparent pricing, and developer autonomy
One platform for the full AI lifecycle — from rapid prototyping to foundation training and scalable inference.
Predictable cost, performance, and reliability — from end-to-end ownership of the stack, data centers to managed services.
Instant, self-service access to the latest compute on the market at any scale — no negotiations, no contracts.
Historical uptime of over 99.9% with sensible SLAs and fair compensation for service disruptions.
Proactive support from our team of ML craftsmen and infrastructure engineers.
SOC 2 Type II and ISO 27001/27017/27018/27701 certified. GDPR compliant. Powered by 100% renewable energy.
In-house AI Lab, contributing to frontier research and open-source projects
Verda collaborates with 1X on building multi-GPU inference for the 1XWM generative video model.
As video quality leads to task success, it enables solving more complex tasks in household autonomy.
Verda continuously sponsors SGLang with access to compute resources and infrastructure support.
SGLang's explorations into RL training with FP8 and INT4 utilize NVIDIA Hopper and Blackwell architectures.
vLLM got early access to a GB300 cluster from Verda along with infrastructure support.
With Blackwell Ultra, the team achieved an 8x prefill and 10-20x mixed-context improvement over Hopper.
Built in Europe, trusted globally
From rapid prototyping to foundation training and scalable inference — on a single full-stack AI cloud
