Pricing and Billing

Understanding your costs and managing billing on Covalent Cloud is straightforward. This section outlines our approach to pricing for various compute resources and provides insights into monitoring and managing your account's usage.

Compute Resource Pricing

In Covalent Cloud, you only pay for the resources you consume. You don’t pay for any idle resources. Our pricing is structured to provide flexibility and value.

CPU Pricing

CPU instances offer a cost-effective and versatile solution for a wide range of computational tasks, including scientific coding, HPC (High-Performance Computing) workloads, and AI/ML applications.

CPU Resource	Price per Hour	Use Case and Specs
CPU	$0.15	Ideal for scientific and HPC code, also capable of running various AI/ML models effectively.

Note

Although were displaying per hour pricing, actual billing is done at the per second level

GPU Pricing

GPU Type	Price per Hour	Minimum GPUs	Use Case and Specs
H100 80GB	$5.85	1	Ideal for advanced AI and ML tasks, featuring high memory bandwidth and capacity.
A100 80GB	$4.59	1	Suited for deep learning and high-performance computing with fast memory and good compute capabilities.
V100	$3.67	1	Great for AI research and complex model training, offering robust performance.
L40	$2.22	1	It's also well-suited for real-time graphics processing and complex simulations and a good low-cost replacement for H100s
A10G	$1.21	1	Suitable for mid-range graphics and compute-intensive applications.
RTX A6000	$1.46	1	Designed for graphics and rendering tasks, offering a balance of performance and power.
RTX A4000	$0.70	1	An efficient choice for lighter graphics and compute tasks.
RTX A5000	$0.90	1	Good for general-purpose graphics and computing with balanced performance.
T4	$0.64	1	A cost-effective option for basic ML and lighter computing needs.

Note:

• Although we're displaying per-hour pricing, actual billing is done at the per-second level. The minimum GPU requirement for each type is given in the table.

• The specific capabilities and recommended use cases for each GPU type are based on general characteristics. For precise technical specifications, please refer to the relevant hardware documentation or manufacturer's resources.

Example:

Let's demonstrate how the price is calculated for every second of compute usage. Suppose a user defines a resource like this:

cc.CloudExecutor(
    env="my-env",
    num_cpus=4,
    num_gpus=2,
    gpu_type="A100",
    memory="12GB",
    time_limit="3 hours",
)

If the computation stops in 1 hour, 31 minutes, and 42 seconds, the price is calculated as follows:

Price = 2 (number of GPUs) x $4.59 (per-hour price per GPU, for example) x 5502 (seconds) / 3600 (seconds in an hour) ~ $14.06

So, in this example, even though the user had a time limit of 3 hours, they will be billed only $14.06 for the seconds used (1 hour, 31 minutes, and 42 seconds).

Monitoring Usage and Managing Payments

Usage Dashboard

Keep track of your compute usage through the Covalent Cloud dashboard. Updated in near real-time as jobs complete, it provides a detailed view of each task's duration and the associated cost. This real-time tracking helps in efficient budget management.

Payment Methods

Setting up and updating your payment method is a hassle-free process on Covalent Cloud. Navigate to the settings/billing page to manage your payment details securely. Note that a credit card is required in order to submit dispatches.

Invoices

Your billing history, including detailed invoices and records of past payments, is easily accessible. Should you have any questions about your invoices, our team is ready to assist, e-mail us at billing@agnostiq.ai

Billing FAQs

Here are some frequently asked questions to help guide you:

How is Compute Usage Calculated

We calculate usage based on the active time of compute resources, with charges tailored to the specific instance type utilized. For instance, consider a resource request with the following configuration: num_cpus=4, num_gpus=2, gpu_type="A100", memory="12GB", time_limit="3 hours". If the computation completes in 1 hour, 31 minutes, and 42 seconds, the cost calculation proceeds as follows:

• Total Time Used: The active computing time amounts to 1 hour, 31 minutes, and 42 seconds, which equates to 5502 seconds.

• Price Calculation: The cost is determined by multiplying 2 (the number of A100 GPUs) by $4.59 (the hourly rate for each A100 GPU, for example), and then multiplying this by 5502 seconds (the total active time), divided by 3600 seconds (the total number of seconds in an hour).

In this example, despite a time limit of 3 hours being set, the user is billed only for the 5502 seconds of resource utilization, amounting to approximately $14.06. If it is non-gpu request (that is, gpu_type is not provided, then the num_cpu alone will be priced based on CPU pricing).

Billing Cycle and Threshold

Payments are automated and charged to the credit card on file. Billing cycles are standardized and align with the end of each calendar month. If you join partway through a month, your first bill will be prorated based on the time of joining.

Discount Offers

For high-volume usage, Covalent Cloud provides discounts under the enterprise plan. Contact us to learn more about these options at contact@agnostiq.ai.

Support for Educational and Non-Profit Initiatives

We offer special pricing for educational and non-profit projects. Reach out to us to explore these opportunities at contact@agnostiq.ai.

With Covalent Cloud, managing your compute resources and billing is seamless, allowing you to focus on your high-performance computing tasks.