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Fireworks.ai

Explore Fireworks AI: Accelerate generative AI performance with real-time, scalable deployment for enterprise applications.

AI Assistant Updated 20 minutes ago
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Fireworks.ai

Fireworks.ai's Top Features

Fast and scalable inference platform suitable for LLMs and image models.
Advanced model tuning with reinforcement learning and quantization-aware techniques.
Distributed and disaggregated inference engine for cost efficiency.
Built-in multimedia AI support for audio and image processing tasks.
Flexible deployment options across cloud and on-prem systems.
Developer-friendly SDKs and APIs for easy model tuning and deployment.
Enterprise-grade security compliant with SOC2, GDPR, and HIPAA.
Collaborations with leading AI models and hardware providers for optimal performance.
Real-time performance with low total cost of ownership.

Frequently asked questions about Fireworks.ai

Fireworks AI provides the fastest inference engine for generative AI, enabling real-time performance with minimal latency, high throughput, and unmatched concurrency to run popular AI models instantly on any use case.

Fireworks supports popular models like DeepSeek, Llama, Qwen, and Mistral that can be run with a single line of code without requiring GPU setup.

Fireworks offers advanced tuning techniques like reinforcement learning, quantization-aware tuning, and adaptive speculation to unlock high-quality results from any open model without complexity.

Fireworks supports flexible deployment on-premises, in a Virtual Private Cloud (VPC), or in the cloud, automatically provisioning GPUs across 10+ clouds and 15+ regions for high availability and scalability.

Yes, Fireworks ensures secure team collaboration and management and is SOC2 Type II, GDPR, and HIPAA compliant.

Fireworks partners with a variety of customers including AI startups, digital-native companies, and Fortune 500 enterprises, powering products like AI coding assistants (Sourcegraph), freelance marketplaces (Upwork), and contact center platforms (Cresta).

Fireworks delivers significant cost savings through highly optimized runtimes and model fine-tuning, offering prices 1–2 orders of magnitude lower than other providers serving similar models.

FireFunction V2 is an open weights function calling model developed by Fireworks AI, which acts as an orchestrator for combining multiple models, multimodal capabilities, and external data/APIs to simplify building compound AI systems.

Yes, it provides built-in audio insights with fast Whisper-based transcription and efficient vision-language task handling to integrate easily with AI models.

Fireworks AI employs prompt caching, speculative API techniques, and a distributed architecture to guarantee high throughput, low latency, and improved performance at scale.

Fireworks.ai's pricing

Usage-based

$0/custom

  • Per 1 million tokens pricing for base model inference
  • Separate pricing for training and inference tokens
  • GPU usage billed per hour, with billing by the second

Business

$0/custom

  • Dedicated deployments available via waitlist
  • Custom pricing and deployments for large enterprises
  • Potential volume-based arrangements

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Category
AI Assistant
Tags
inference engine
generative AI
large language models
image models
reinforcement learning
quantization-aware tuning
scalable deployment
on-premises
cloud
real-time AI processing

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