What is Denvr AI Cloud?
Denvr AI Cloud is a high-performance computing platform designed specifically for AI developers and operators. It offers on-demand or dedicated access to the latest GPU architectures, including NVIDIA H200, H100, A100, A40, and Intel Gaudi2, optimized for both AI training and inference. The platform provides flexible deployment options across bare metal, virtual machines, and containers, allowing users to scale from single nodes to massive 1,024 GPU clusters connected by 3,200 Gbps InfiniBand for ultra-fast data transfer.
Key features include fully managed NVMe shared storage for AI workloads and large datasets, ensuring high throughput and low latency. Denvr also offers managed inference endpoints that are fully compatible with the OpenAI API, enabling easy deployment of foundation or custom models. The platform is built with security and compliance in mind, featuring end-to-end encryption, comprehensive event logging, SOC 2-compliant controls, and full-stack monitoring. Data centers are located in Canada and the USA, providing data sovereignty and residency options to meet regulatory requirements.
Denvr’s infrastructure is purpose-built from the data center to the API endpoint, with modular data center architecture that can scale from 1 MW to over 100 MW. Users benefit from pre-packaged AI applications like Jupyter Notebooks and OpenWebUI, ML-ready machine images with current GPU drivers and popular frameworks, and REST APIs with CLI tools for automation. The platform also supports Python and Terraform bindings for seamless integration into existing workflows.
Use cases range from training large language models and running complex simulations to deploying real-time inference services. Denvr is trusted by AI teams worldwide and has been delivering AI cloud services since 2022, with over $1 billion in AI compute infrastructure deployed. The Denvr AI Ascend startup program provides credits for early-stage companies, making it accessible for innovators to bring their AI tech to life faster.
Use Cases
Key Features
latest GPU architectures on demand GPU access bare metal deployment VM deployment container deployment 1024 GPU clusters 3200 Gbps InfiniBand managed NVMe storage managed inference endpoints SOC 2 complianceWho is it for?
AI developers, AI operators, machine learning engineers, data scientists, cloud architects, platform teams, enterprise IT managers
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