Verda provides a full-stack AI cloud platform that gives AI teams instant, on-demand access to NVIDIA GPU instances, self-service clusters, and auto-scaling serverless containers for the entire AI lifecycle—from rapid prototyping to foundation training and scalable inference. The platform is SOC 2 Type II and ISO 27001 certified, GDPR compliant, and powered by 100% renewable energy, with a historical uptime of over 99.95%.
Funding
$450M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
6DEMS+7Founders
Product
Problem
AI teams face significant friction when trying to access the massive compute resources required for training and running large models. Traditional cloud providers offer limited GPU availability, complex procurement processes, and unpredictable pricing, forcing teams to wait weeks for capacity or over-provision to meet demand, which slows down innovation and increases costs.
Solution
Verda operates a full-stack AI cloud platform that provides fast, on-demand access to the latest NVIDIA GPUs, from single instances to multi-rack clusters with InfiniBand interconnect. The platform covers the entire AI lifecycle—enabling rapid prototyping, foundation model training, and scalable inference—all through a self-service console, API, or CLI. Verda manages everything from physical data centers and hardware to the cloud platform itself, offering predictable cost, performance, and reliability. The company also includes an in-house AI Lab that contributes to frontier research and open-source projects, and offers confidential computing solutions with hardware-attested inference and fine-tuning for enhanced security.
Target Audience
Primary customers are AI research teams, machine learning engineers, and enterprises that need scalable, on-demand GPU compute for training, fine-tuning, and inference workloads, as well as organizations with strict data sovereignty and security requirements based in Europe and globally.
Features
- GPU instances: Fast access to the latest NVIDIA hardware including GB300 NVL72, B300, B200, H200, H100, and A100 configurations with high-bandwidth memory
- Instant clusters: Self-service GPU clusters with InfiniBand interconnect, scalable from a single tray to 2+ racks with NVLink connectivity
- Serverless containers: Auto-scaling GPU containers for inference and batch jobs, eliminating manual capacity management
- Storage solutions: High-speed NVMe block storage, POSIX-compliant shared filesystem, and OCI-compliant container registry
- Confidential computing: Hardware-attested inference and fine-tuning for security-sensitive workloads
- Full programmatic control: API access to manage GPU resources via external code, alongside comprehensive documentation and community forum
- Secure and compliant: SOC 2 Type II and ISO 27001/27017/27018/27701 certified, GDPR compliant, powered by 100% renewable energy