Optimized Distributed Technology for Modern Applications

ByteNite is a serverless container platform powered by built-in workload distribution logic and a resource orchestration layer.
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ByteNite natively supports containers, which abstract applications from the underlying hardware, making it an excellent framework for various use cases requiring different types of hardware (CPUs, GPUs, high-memory instances, etc.).

Imagine ByteNite as a combination of Kubernetes, Ray, and spot instances.

ByteNite excels in scaling applications that need to scale compute for single jobs (e.g., ETL processes, AI inferences, video rendering, scientific simulations, etc.), as well as those that need to handle a high volume of requests.

ByteNite's Flow

1. Build

Build

Users configure the application and define the necessary parameters.

2. Split

Split

Data is divided into chunks using a data engine logic.

3. Distribute

Distribute

Tasks are allocated to available containers for processing.

4. Process

Process

Each container executes its assigned task and generates an output or response.

5. Collect

Collect

Results from tasks are gathered asynchronously.

6. Merge

Merge

The collected outputs are combined or computed and delivered back to the user.

Explore Workflows

Core Ingredients

Task

Task

The fundamental unit of computation that carries out the work.

App

App

Uncompiled code provided by the user, organized for execution and deployment on ByteNite.

Job

Job

Request for a computing process with parameters, generating tasks.

Data Engine

Data Engine

Plugin for data partitioning and assembling logic, responsible for task generation and merging.

Task Runner

Task Runner

Our patented client software for worker machines, managing containers and executing tasks.

Template

Template

Configuration file that harmonizes and versions apps and data engines.

Explore Building Blocks

Distributed Computing, Simplified

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