RunPod Batch
Shares tags: pricing & licensing, discounts & credits, batch pricing
Unlock cost-effective, high-throughput processing for large AI tasks.
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overview
The OpenAI Batch API empowers developers and organizations to efficiently manage large-scale AI tasks, offering significant savings and higher processing capabilities. Ideal for asynchronous jobs, it enables bulk operations without the immediate response time constraints.
features
Designed with user needs in mind, the Batch API comes equipped with a variety of powerful features to facilitate large-scale processing. Benefit from updates that continually improve your experience and capabilities.
use_cases
The Batch API is perfect for developers focusing on non-latency-sensitive applications, ensuring cost-effective results for bulk operations. Common scenarios include data labeling, content generation, and large dataset analyses.
workflow
Using the Batch API is straightforward. Users can prepare their requests in a JSONL file, and upon uploading, the API handles the rest seamlessly. Monitor your batch jobs and retrieve results with ease.
getting_started
Ready to leverage the power of the OpenAI Batch API? Follow our documentation to set up your account and start processing jobs asynchronously. Experience the efficiencies that await.
The Batch API offers a 50% discount on standard pricing for high-volume requests, making it an economical option for large-scale processing.
It is ideal for asynchronous tasks such as bulk content generation, data labeling, and model evaluations where immediate responses are not critical.
The API provides endpoints that allow you to list and check the status of your batch jobs, facilitating easy tracking and integration into automated pipelines.