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VeroCloud
Cost-effective cloud platform for AI and HPC development and scaling.

What is VeroCloud?

VeroCloud provides a specialized cloud infrastructure tailored for Artificial Intelligence (AI) and High-Performance Computing (HPC) workloads. The platform emphasizes cost-efficiency, claiming potential savings of up to 70% compared to alternatives, alongside high performance and scalability. It enables users to launch AI instances and deploy HPC tasks seamlessly, aiming to simplify infrastructure management.

The service offers access to various powerful GPU instances, suitable for different AI model sizes and tasks, from training to inference. VeroCloud also features serverless computing options designed for AI inference, incorporating autoscaling and job queueing with fast start times. Users can utilize pre-optimized environments for GPU Cloud, HPC Compute, or Tally on Cloud, or customize their own templates for consistent deployment across resources. Security and reliability are addressed through features like token-based authentication and a 99.99% uptime guarantee.

Features

  • Cost-Effective Platform: Designed for significant cost savings (up to 70%) on AI and HPC cloud solutions.
  • High Performance GPUs: Access to a range of powerful GPUs (including A100, H100, L40S) for demanding workloads.
  • Serverless AI Inference: Run AI models with autoscaling, job queueing, and sub 250ms cold start times.
  • Guaranteed Uptime: Offers 99.99% guaranteed uptime for reliable operations.
  • Scalable Infrastructure: Supports growth from few users to millions with infinite scalability.
  • Optimized Environments: Pre-configured setups for GPU Cloud, HPC Compute, and Tally on Cloud.
  • Container Deployment: Deploy any container using public or private image repositories.
  • Real-Time Metrics: Access vital statistics like method calls and response times instantly.

Use Cases

  • Developing and scaling AI applications
  • Running high-performance computing simulations
  • Training large language models (LLMs)
  • Deploying containerized machine learning models
  • Cost-effective AI model inference
  • Hosting Tally ERP on the cloud

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