VeroCloud

VeroCloud is a comprehensive AI cloud platform designed to deploy, scale, and manage AI, HPC, and scalable workloads with a focus on cost-efficiency, performance, and flexibility. The platform offers a one-stop solution for GPU-accelerated cloud infrastructure, scalable compute, container deployment, and customizable deployment templates to fit diverse workload needs, including AI inference, training, and high-performance computing. VeroCloud emphasizes global reach, high availability, and optimized environments for GPU Cloud, HPC Compute, and Bare Metal deployments, with capabilities for serverless-like scaling, job queues, and instant setup. The service highlights ready-made pricing models, robust security considerations, and ongoing initiatives to obtain industry certifications to bolster trust and compliance.

How to Use VeroCloud

• Sign up or contact sales to get started with GPU Cloud, HPC Compute, or Bare Metal deployments.
• Choose an environment: GPU Cloud, HPC Compute, Bare Metal, or Tally on Cloud, and configure your resources (CPU, GPU, memory, storage) to match your workload.
• Deploy containers or images to one public/private image repository and launch across distributed endpoints.
• Create and customize deployment templates for rapid, repeatable provisioning across all computing resources.
• Monitor performance with real-time metrics, autoscaling, and job queueing to optimize cost and throughput.

Disclaimer: This description reflects the platform’s stated capabilities and offerings as described in the provided content.

Core Capabilities

• Global, distributed endpoints for scalable AI and HPC workloads
• Multiple deployment models: GPU Cloud, HPC Compute, Bare Metal, and Tally on Cloud
• Public and private image repositories with seamless container deployment
• Customizable deployment templates for consistent infrastructure across resources
• High availability with sub-250ms cold start goals and autoscaling
• Serverless-like features including queueing and scalable workers
• Real-time metrics, advanced trace and debugging, and detailed transaction/state retrieval where applicable
• Security features such as token-based authentication and robust access controls
• Competitive pricing for various GPU instances and configurations
• Ongoing certifications (SOC 2, ISO 27001) in progress to enhance security posture

How It Works

• Configure and deploy AI/HPC workloads across GPU, CPU, and bare metal resources.
• Use optimized environments for GPU Cloud, HPC Compute, or Bare Metal, with customizable templates for uniform deployment.
• Run workloads with autoscaling, queues, and serverless capabilities to maximize efficiency and cost savings.
• Access real-time metrics and historical data to monitor performance and optimize usage.

Safety and Legal Considerations

• Ensure compliant use of cloud resources and adherence to licensing terms and applicable laws for workloads run on VeroCloud.

Core Features

• Global, distributed endpoints for scalable AI/HPC workloads
• GPU Cloud, HPC Compute, Bare Metal, and Tally on Cloud deployments
• Public and private image repositories for containerized workloads
• Customizable deployment templates for repeatable provisioning
• Auto-scaling, job queues, and serverless-style capabilities
• Real-time metrics, tracing, and debugging tools
• High availability with guaranteed uptime and fast cold starts
• Security with token-based authentication and access controls
• Competitive pay-as-you-go and per-hour pricing across GPU models
• Ongoing pursuit of SOC 2, ISO 27001 certifications and related compliance initiatives