GPU Rentals

Welcome to Nerve AI, a platform designed to revolutionize AI model training and inference through on-demand NVIDIA GPU instances. Whether you’re building cutting-edge AI models or running high-performance computational tasks, Deploy.Nerve AI offers the scalability and flexibility you need.

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What is Deploy.Nerve?

Deploy.Nerve provides on-demand access to powerful NVIDIA GPU instances, enabling you to train and infer AI models faster. The platform features a credit-based usage system, flexible pricing, and a user-friendly dashboard for seamless management.

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Key Features

1. Scalable GPU Clusters

• Deploy powerful GPU instances tailored for different workloads.

• Scale resources up or down to match your project’s demands.

2. Credit-Based Usage System

• Pay only for the resources you use with a transparent credit-based system.

• Purchase credits via Stripe or Crypto.

3. User-Friendly Interface

• Intuitive web app interface for easy instance configuration and monitoring.

• Customize your dashboard to display metrics and KPIs that matter to your workflow.

4. Flexible Payment Options

• Access affordable pricing starting at $0.07/hour, billed on a pay-as-you-go basis.

• Ideal for projects of all sizes, from startups to enterprises.

5. 24/7 Support

• Dedicated support to assist with any issues or questions.

6. Security and Control

• Secure your workloads with firewall rules, SSH keys, and team access controls.

• Real-time resource monitoring for proactive cost management.

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Getting Started

Step-by-Step Guide

1. Assess Your Needs:

   • Determine your project’s infrastructure requirements (AI training, inference, or general computing).

   • Evaluate which GPU instance suits your workload.

2. Choose Your Instance:

   • Select from a range of instances optimized for different tasks:

     • g4dn.xlarge: 1 GPU, 4 vCPUs, 16 GiB RAM, $0.07/hr.

     • g4dn.2xlarge: 1 GPU, 8 vCPUs, 32 GiB RAM, $0.10/hr.

3. Configure and Launch:

   • Customize settings like region, security, and team permissions.

   • Launch your GPU instance with just a few clicks.

4. Manage Resources:

   • Monitor active instances, runtime, and usage via a centralized dashboard.

   • Pause, stop, or delete instances as needed to optimize cost and performance.

5. Pay As You Go:

   • Purchase credits to pay for your usage.

   • Scale up or down as your project grows.