Sold by: Fireworks AI
Deployed on AWS
Fireworks.ai offers a generative AI platform as a service. We optimize for rapid product iteration building on top of gen AI as well as minimizing cost to serve.
4.2
Overview
Experience the fastest inference and fine-tuning platform with Fireworks AI. Utilize state-of-the-art open-source models, fine-tune them, or deploy your own at no additional cost. Access a diverse library of models across various modalities - including text, vision, embedding, audio, image, and multimodal - to build and scale your AI applications efficiently.
- Blazing fast inference for 100+ models
- Fine-tune and deploy in minutes
- Building blocks for compound AI systems
Start in seconds and pay-per-token with our serverless deployment. Or Use our dedicated deployments, fully optimized to your use case.
Highlights
- Instantly run popular and specialized models, including DeepSeek R1, Llama3, Mixtral, and Stable Diffusion, optimized for peak latency, throughput, and context length. Fireattention custom CUDA kernel, serves models four times faster than vLLM without compromising quality.
- Fine-tune with our LoRA-based service, twice as cost-efficient as other providers. Instantly deploy and switch between up to 100 fine-tuned models to experiment without extra costs. Serve models at blazing-fast speeds of up to 300 tokens per second on our serverless inference platform.
- Leverage the building blocks for compound AI systems. Handle tasks with multiple models, modalities, and external APIs and data instead of relying on a single model. Use FireFunction, a SOTA function calling model, to compose compound AI systems for RAG, search, and domain-expert copilots for automation, code, math, medicine, and more.
Details
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Delivery method
Deployed on AWS
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Buyer guide
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Enterprise | Unlimited deployment models | $500,000.00 |
Dimension | Description | Cost/unit |
|---|---|---|
additionalusage | Additional Usage | $1.00 |
Vendor refund policy
All fees are non-refundable and non-cancellable except as required by law.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Email support services are available from Monday to Friday.
support@fireworks.ai
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Fireworks AI
By Karini AI
By Anyscale
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Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
High-Performance Inference Optimization
Fireattention custom CUDA kernel serves models four times faster than vLLM, achieving inference speeds up to 300 tokens per second on serverless infrastructure.
Cost-Efficient Fine-Tuning
LoRA-based fine-tuning service that is twice as cost-efficient as other providers, with ability to deploy and switch between up to 100 fine-tuned models without additional costs.
Multi-Modal Model Library
Access to diverse library of 100+ models across multiple modalities including text, vision, embedding, audio, image, and multimodal capabilities.
Compound AI System Architecture
FireFunction SOTA function calling model enables composition of compound AI systems supporting multiple models, modalities, and external APIs for RAG, search, and domain-specific applications.
Flexible Deployment Options
Serverless pay-per-token deployment model or dedicated deployments fully optimized to specific use cases, with support for popular models including DeepSeek R1, Llama3, Mixtral, and Stable Diffusion.
No-Code Application Development
Visual interface with built-in connectors and large language models enabling generative AI application deployment without coding requirements.
Multi-Model Support and Comparison
Access to latest large language models with prompt playground functionality for model comparison and evaluation across different LLM options.
Enterprise Security and Governance
Secure credentials management, personally identifiable information masking, data encryption, and role-based access controls for enterprise-level compliance.
Observability and Cost Management
Operational dashboards providing visibility into model spending, performance metrics, usage patterns, and trends for cost tracking and optimization.
Trust and Safety Controls
Content filtering mechanisms to reduce noise, block harmful content, and include relevant citations with ground truth comparison capabilities using LLM as a judge.
Distributed Computing Runtime
Unified runtime that distributes Python code and AI libraries across thousands of CPUs, GPUs, or both, scaling from single machine to large clusters
Multi-Framework Support
Support for distributed execution of XGBoost, PyTorch, vLLM, and other AI libraries within a single platform
Infrastructure Deployment Flexibility
Deployment options including fully managed Anyscale-hosted experience, bring-your-own-cloud (BYOC) into customer VPC, VM-based infrastructure (EC2), and Kubernetes environments (AWS EKS and SageMaker HyperPod)
Enterprise Security Integration
Native integration with AWS security frameworks including AWS Identity and Access Management (IAM) with inherited access controls, policies, and governance standards
Workload Optimization and Resilience
Built-in head node resilience, intelligent autoscaling, advanced scheduling, GPU sharing capabilities, and safe rollout mechanisms to maximize resource utilization and prevent cost overruns
Standard contract
No
Customer reviews
Information Technology and Services
Fast, Easy-to-Integrate API for Testing Multiple Models in One Place
Reviewed on Sep 02, 2026
Review provided by G2
What do you like best about the product?
I like that Fireworks AI is pretty easy to use and I can work with different models in one place. The API is simple to integrate, and the speed is also good. It saves a lot of time when I’m testing different models for my work. I think the value is good for the price. The performance and flexibility make it worth the cost, especially when I’m testing different models.
What do you dislike about the product?
It takes a little time to get used to the platform at first. Some features can be a bit confusing when you’re just getting started.
What problems is the product solving and how is that benefiting you?
It makes it easier to test and use different AI models without managing everything myself. It saves me time and makes the development process a lot simpler.
Krishna Kumar B.
Flexible AI Models with Powerful Customization and Developer friendly APIs
Reviewed on Sep 01, 2026
Review provided by G2
What do you like best about the product?
Very fast and flexible AI models that fit different needs, with customization options for specific use cases. They help across many parts of the workflow, from development through to deployment, making them useful in a wide range of work settings.
What do you dislike about the product?
I was expecting a bit more support, and I also need native integration for a few applications.
What problems is the product solving and how is that benefiting you?
Fireworks AI is particularly beneficial for our development team, as it provides solid support in integrating third party APIs, resolving bugs in the code and during deployment.
Prerna T.
Easy Model Switching for Open-Source Experimentation
Reviewed on Aug 31, 2026
Review provided by G2
What do you like best about the product?
It helps with experimenting on different open source models without the need of that large infrastructure. Also very easy to switch between different models and see which one works the best.
What do you dislike about the product?
I dislike that you can use it very limitedly for free. It is very hard to predict the cost as it is usage and model dependent.
What problems is the product solving and how is that benefiting you?
It is really good in terms of speed as well as flexibility. I don't have to manage the infrastructure and can test any AI applications.
Marketing and Advertising
Fast AI Infrastructure for Scalable SEO Data Analysis
Reviewed on Aug 30, 2026
Review provided by G2
What do you like best about the product?
Fast inference is useful for processing large amounts of SEO data for example, classifying keywords, search queries, content topics, or GSC exports without waiting long for each response. Fireworks emphasizes high throughput and low latency.
What do you dislike about the product?
Model outputs still need validation, especially for tasks like search-intent classification or content analysis where incorrect categorization can affect SEO decisions.
What problems is the product solving and how is that benefiting you?
Automates repetitive SEO data processing such as classifying large keyword lists by search intent, topic, funnel stage, or content type. Makes large-scale content analysis faster by processing page titles, descriptions, headings, and content in bulk instead of reviewing every URL manually.
Tanika S.
Flexible, High-Performing Platform for Experimenting and Deploying AI Models
Reviewed on Aug 30, 2026
Review provided by G2
What do you like best about the product?
It’s flexible and performs well. It makes it easy to experiment with and deploy different AI models, while still keeping the developer experience relatively simple and straightforward.
What do you dislike about the product?
One thing I dislike is that you have to pay to use the platform, which makes it harder to properly try and evaluate the service before committing. A free tier or more generous trial would make it easier for new users to explore the platform and understand its value.
What problems is the product solving and how is that benefiting you?
Fireworks AI makes it easier to access and deploy a range of AI models without having to manage all the underlying infrastructure yourself. That saves development time and simplifies testing different models for specific use cases. I also appreciate the fast inference, which is especially helpful when building AI features that need quick, responsive results.