We use a utility token called "ByteChip" as the currency for purchasing services on our Computing Platform. ByteChips are not considered cryptocurrency and therefore cannot be exchanged with users or third parties.
We use a simple metric called ByteChip to track our users' computing usage. It's equivalent to one hour of compute on a unit container:
This metric makes it easier to track compute time.
For example, a job using 0.45 vCPU-hours and 0.89 GiB-hours will cost BYC 0.49351461. This would be the cost of running a job for half an hour on a container with 1 vCPU and 1 GiB of memory.
ByteChips charges accumulate in your wallet, allowing you to track total computing hours. Don't worry, dollar amounts are displayed on the billing page and invoices as well, so you can always see how much you're spending.
This is the current USD value of 1 ByteChip:
Additionally, you can always calculate this value using the formula below:
USD/BYC Exchange Rate = USD Hourly CPU Rate + USD Hourly RAM Rate
You can purchase ByteChips packages on our Computing Platform (Wallet section), and you can compare prices and plans on our dedicated pricing page.
We provide a detailed pricing table for each application that shows the cost in ByteChips for every particular service. For example, for standard dimension video encoded with the AVC codec, our video encoding application charges 1.42 ByteChips per minute. However, if the resolution is higher or the codec is more complex, the price per minute may increase. Please refer to the application-specific pricing tables to get more information.
Video Encoding Pricing
To cater to different preferences and usage patterns, we provide two types of ByteChip packages: Stock and Subscription. Both ByteChips can be used at your convenience across any application on our platform.
Larger ByteChip packages are discounted over smaller ones, making it even more cost-effective for our customers to scale up their workflows. Additionally, subscription packages provide further discounts compared to the equivalent Stock packages, rewarding ongoing usage.
Our grid computing system utilizes multiple devices running an FFmpeg Python implementation to perform video encoding. Upon uploading the video from the source, each device is assigned a 10-15 second chunk of the video to encode independently and simultaneously. This results in a significantly faster overall performance compared to standard cloud encoding, with all encoding parameters being equal.
ByteNite is just as safe to use as any other cloud computing service available. Our collaborative computing system is centralized and constructed with the latest secure technologies. Our platform relies on robust cloud security protocols, and all data transmitted to and from our system is encrypted. Unlike some decentralized computing solutions, ByteNite requires its workers to provide their personal information and adhere to our terms of usage before utilizing the platform. This requirement encourages the proper use of our software.
Our customers' data will be processed by our distributed network, which involves sharing it with multiple devices located in different regions. Our advanced algorithm ensures that each device receives only a small portion of your data and retains it only for the time necessary for processing. Rest assured that no personal information, such as your business name or contact details, will be shared with the worker devices. We adhere to a strict security policy to safeguard your data from any unauthorized access or misbehavior by the devices. We conduct regular audits on the worker devices to ensure that your data remains secure at all times. For more information on our data privacy policies, please refer to our Terms and Conditions.
ByteNite can also run all your work on a subnetwork composed solely of your devices/servers. To request this customization, please send us an email at support@bytenite.com, specifying the project's scope and size.
Navigate to your Billing Page from the Computing Platform to monitor your ByteChip usage. Through the billing overview section, you can track your monthly computing power usage and view the cost breakdown for each app. To inspect a specific charge, simply access the transaction history on your Billing Page and use filters to find the desired charge or transaction.
Every job you run spins up one or more containers: we keep track of the container usage, and not the machine capacity, to fairly establish the price of your job. This includes recording information about the vCPU and RAM utilization of the containers over their lifespan. We currently charge only for vCPU and RAM usage. You can find the USD rates on our pricing page.
Additionally, unlike other services, we do not charge for idle machine capacity allocation. Each app you build comes with some guaranteed idle capacity, minimizing cold starts, so that you only pay when your job is running, and not before or after. Currently, each user is allowed to have 3 active apps at a time.
We're developing a usage threshold notification feature to keep you informed about your daily or monthly usage. This will give you peace of mind while running event-driven, scalable applications. If you're interested in this feature, let us know by giving it a thumbs up here: https://bytenite.canny.io/feature-requests
We'd love to help you set up your app on ByteNite by offering a limited amount of free credits for testing. If you're interested, feel free to reach out to us to discuss your project. Talk to us