Pricing Models

NeevCloud offers flexible pricing models to match your usage patterns and budget requirements. Understanding these models helps you optimize costs while maintaining the compute power you need.

On-Demand Pricing

What is On-Demand?

On-demand instances are pay-as-you-go GPU resources. You pay only for the hours your instance runs, with no long-term commitment or upfront payment.

How On-Demand Pricing Works:

• Billing starts when your instance is running

• You're charged per hour (or per minute with hourly billing)

• You can start and delete instances anytime

• No minimum usage requirements

• No cancellation fees

When to Use On-Demand

On-demand pricing is ideal when you:

• Experiment with different configurations: Testing various GPU types before committing

• Run sporadic workloads: Training jobs that happen irregularly

• Need flexibility: Projects with unpredictable duration

• Develop and prototype: Initial development before production deployment

• Handle urgent tasks: Sudden computational needs without waiting for reserved capacity

On-Demand Pricing Example: If you're training a model and you're not sure how long it will take:

• Instance: NVIDIA A100 (40GB VRAM)

• Rate: $2.50/hour

• Training duration: 6 hours

• Total cost: $2.50 × 6 = $15.00

You only pay for those 6 hours. If you stop the instance, billing stops immediately.

Cost Management with On-Demand:

• Set up monitoring alerts for long-running instances

• Stop instances when not actively computing

• Use automated shutdown scripts for completed jobs

• Monitor your usage dashboard regularly

Reserved Instance Pricing

What are Reserved Instances?

Reserved instances are GPU resources you commit to using for a specific period (typically 1 month, 3 months, or 12 months) in exchange for significant discounts.

How Reserved Pricing Works:

• You commit to a specific instance type for a set duration

• You pay upfront or monthly for your reservation

• Your hourly rate is significantly lower than on-demand

• The instance remains available to you during the reservation period

• You pay for the reservation whether you use it continuously or not

Discount Levels

Typical savings compared to on-demand pricing:

• 1-month commitment: ~10% discount

• 3-month commitment: ~20% discount

• 12-month commitment: ~35% discount

When to Use Reserved Instances

Reserved instances make sense when you:

• Run continuous workloads: Training jobs that span days or weeks

• Have predictable needs: Regular batch processing or inference serving

• Optimize costs for production: Deployed models serving predictions 24/7

• Conduct extended research: Long-term research projects with steady GPU requirements

• Require guaranteed availability: Critical workloads that need assured capacity

Reserved Pricing Example: Compare costs for running an instance 24/7 for one month:

On-Demand:

• Instance: NVIDIA A100 (40GB VRAM)

• Rate: $2.50/hour

• Monthly hours: 730 hours

• Total cost: $2.50 × 730 = $1,825/month

Reserved (1-month):

• Discounted rate: $2.25/hour (10% savings)

• Monthly hours: 730 hours

• Total cost: $2.25 × 730 = $1,642.50/month

Savings: $182.50/month (10%)

For long-running workloads, reserved instances provide substantial savings.

Important Considerations for Reserved Instances:

• You commit to paying for the full reservation period

• If you stop using the instance early, you still pay the full commitment (we can refund the unused commitment when requested)

• The instance type and region are locked for the duration

• Plan your capacity needs carefully before committing

Comparing Pricing Models

Use this decision framework:

Choose On-Demand if:

• Usage duration is uncertain

• You're experimenting or prototyping

• Workload is intermittent or unpredictable

• You need maximum flexibility

• Project may end suddenly

Choose Reserved if:

• You'll use the instance continuously for weeks/months

• Workload is predictable and steady

• Cost optimization is a priority

• You're deploying to production

• You have long-term compute requirements

Billing and Cost Monitoring

Understanding Your Bill

Your NeevCloud bill includes:

• Instance hours consumed (by instance type)

• Storage costs (for persistent volumes)

Cost Tracking Tools

NeevCloud provides several tools to monitor spending:

• Real-time dashboard: See current running instances and hourly rates

• Usage reports: Historical usage broken down by instance and time period

• Cost projections: Estimated monthly costs based on current usage

• Budget alerts: Notifications (Email) when spending approaches your defined limits

Best Practices for Cost Management

• Tag your instances: Use meaningful names and tags to track costs by project

• Set up alerts: Configure notifications for unusual spending patterns

• Review regularly: Check your dashboard weekly to identify idle resources

• Automate shutdowns: Use scripts to stop instances when jobs complete

• Right-size instances: Don't over-provision—choose appropriate VRAM and compute

• Use reserved for base load: Reserve capacity for steady workloads, use on-demand for peaks

• Delete unused storage: Clean up old snapshots and volumes you no longer need

Pricing Transparency

NeevCloud displays pricing clearly during instance selection:

• Hourly on-demand rate shown for each instance

• Reserved pricing available in the reservation configuration panel

• Estimated monthly costs calculated based on 730 hours (24/7 usage)

• Regional pricing differences highlighted

You always know your costs before deployment, with no hidden fees or surprise charges.