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Denvr Cloud

Accelerated Computing for AI Training and Inferencing

Usage Based
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Description

Denvr Cloud provides a suite of AI services designed for developers, innovators, and business leaders engaged in AI development and operations. It offers high-performance computing infrastructure optimized for AI workloads, including training, inference, and large-scale data processing. The platform emphasizes flexibility, allowing users to choose between dedicated resources for cost certainty and guaranteed availability, or on-demand services for scalability and usage-based pricing. Denvr aims to simplify AI infrastructure management and lower the total cost of ownership (TCO) for users building and deploying AI technologies.

The core offerings include AI Compute Services featuring bare metal or virtualized options with various GPU configurations (including NVIDIA and Intel Gaudi), AI Inference Services delivering scalable model deployment via serverless API endpoints without requiring hardware management, and AI Platform Services providing turnkey integrated solutions for rapid, hyperscale AI infrastructure deployment. Denvr focuses on a user-intuitive experience, dynamic scalability, full-stack optimization, and high-touch expert support to facilitate the efficient deployment and operation of AI workloads.

Key Features

  • AI Compute Services: On-demand or dedicated high-performance bare metal/virtualized compute for AI training, inference, and data processing.
  • AI Inference Services: Scalable, serverless Inference-as-a-Service via API endpoints, eliminating hardware management.
  • AI Platform Services: Turnkey integrated AI infrastructure solutions for fast, hyperscale deployments.
  • Flexible GPU Options: Access to various NVIDIA (H100, A100, GH200, A40, upcoming Blackwell) and Intel Gaudi accelerators.
  • On-Demand & Dedicated Options: Choose between pay-as-you-go flexibility or reserved resources for cost certainty and guaranteed availability.
  • Dynamic Scalability: Infrastructure scales automatically based on demand.
  • Full Stack Optimization: Vertically integrated stack for optimized performance and price.
  • AI Ascend Program: Offers substantial compute credits (up to $500,000) for early-stage AI developers and adopters.
  • High-Touch Expert Support: Dedicated support for AI developers and operators.
  • Cost-Effective Pricing: Designed to offer lower TCO with transparent usage-based and reserved options.
  • Storage and Networking: Includes general purpose and high-performance storage options, plus free network services (ingress/egress, IPv4, VPN, VPCs).

Use Cases

  • Training complex AI and machine learning models.
  • Deploying and scaling AI models for real-time inference.
  • Processing large datasets for AI development.
  • Building and operating AI-powered applications.
  • Developing new AI technologies.
  • Rapidly deploying AI infrastructure at scale.
  • Optimizing AI workload costs.
  • Experimenting with different AI hardware configurations.

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