AI Tool

Supercharge Your AI Responses

Experience lightning-fast, optimized prompt handling with Fireworks Prompt Cache.

Achieve 60-90% cache hit rates that save up to 10x on prompt processing.Reduce time-to-first-token for multimedia applications by up to 80%.Configure advanced session affinity for enhanced efficiency in multi-tenant environments.

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BuildServingToken Optimizers
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overview

What is Fireworks Prompt Cache?

Fireworks Prompt Cache is a cutting-edge solution designed for developers and enterprises looking to optimize their AI applications. By caching responses, it minimizes re-tokenization, effectively streamlining processing and boosting performance.

  • Configurable caching tailored to your needs.
  • Supports both text and image prompts.

features

Key Features

Fireworks Prompt Cache includes advanced functionalities that tailor the caching experience for both general and enterprise applications. Optimize for locality and enhance system performance effortlessly.

  • Multi-tiered caching for robust performance.
  • Dedicated sessions with user-specific identifiers.
  • Best practices for structuring prompts to maximize efficiency.

use_cases

Ideal Use Cases

Our caching solution is perfect for AI engineers and companies focused on building high-scale, latency-sensitive applications. It is particularly beneficial for those working with Vision Language Models in multimedia settings.

  • Enterprise-level AI applications.
  • Applications requiring rapid inference across diverse models.
  • Enhancing user experience with sub-350 millisecond response times.

Frequently Asked Questions

How does Fireworks Prompt Cache improve efficiency?

By caching previously processed prompts, Fireworks Prompt Cache significantly reduces the need for re-tokenization, thus enhancing throughput and reducing latency.

Can I use Fireworks Prompt Cache with image prompts?

Yes, Fireworks Prompt Cache supports both text and image prompts, making it ideal for multimedia AI applications.

What kind of savings can I expect?

Users can experience processing savings of up to 10x, alongside improved cache hit rates of 60-90%, optimizing resource usage and response times.