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.
3.9
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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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
Computer Software
Great UI and Integrations, but Onboarding Needs Better Training
Reviewed on Jul 28, 2026
Review provided by G2
What do you like best about the product?
great ui. easy to use. lots of integrations.
What do you dislike about the product?
onboarding is difficult. needs more training materials
What problems is the product solving and how is that benefiting you?
deploying models.
Health, Wellness and Fitness
Streamlined way to build
Reviewed on Jul 28, 2026
Review provided by G2
What do you like best about the product?
Fireworks AI makes working with large language models simple and efficient. I like that it's easy to deploy and switch between models, offers fast inference, and removes much of the infrastructure overhead so I can focus on building products instead of managing infrastructure.
What do you dislike about the product?
My biggest challenge has been navigating the rapidly expanding ecosystem of available models.
What problems is the product solving and how is that benefiting you?
Fireworks AI removes much of the operational complexity of building with AI. It provides fast, reliable model inference and access to a wide range of models, allowing me to focus on developing products rather than managing infrastructure.
LOKESH G.
Fast, Low-Latency Inference with a Straightforward API and Reliable Scaling
Reviewed on Jul 23, 2026
Review provided by G2
What do you like best about the product?
Fireworks AI stands out for its fast inference performance, a straightforward API, and broad support for open-source foundation models. In my experience, it delivers low-latency responses and scales reliably for production workloads. It also makes it easier to deploy and optimize AI applications without needing extensive infrastructure management.
What do you dislike about the product?
The documentation could be more comprehensive, especially for advanced use cases, and some configuration and optimization options come with a noticeable learning curve. Pricing can also become expensive at higher usage levels, and support for certain niche models or features may not be as extensive as what you’d find on larger cloud AI platforms.
What problems is the product solving and how is that benefiting you?
Fireworks AI makes it easier to deploy and serve large language models by offering fast, scalable inference without requiring us to manage complex infrastructure. As a result, it cuts operational overhead, accelerates application development, reduces latency, and helps us deliver reliable AI-powered features more efficiently.
Christiana C.
Fast, Affordable AI with Excellent Open Model Performance
Reviewed on Jul 22, 2026
Review provided by G2
What do you like best about the product?
I love how fast and easy it is to work with open models. It makes experimenting with AI feel exciting instead of overwhelming, and I appreciate the balance between performance and affordability.
What do you dislike about the product?
Sometimes it takes a bit of trial and error to figure out the best model or settings. I wish the onboarding was a little more beginner friendly, but overall it's been a positive experience.
What problems is the product solving and how is that benefiting you?
Fireworks AI helps me build and test AI applications much faster without worrying about expensive infrastructure. It saves me time, reduces costs, and gives me the confidence to experiment with new ideas.
Gabriel G.
Fireworks AI: Plenty of Open-Source Models and Low Latency, Plus Faster CUDA Kernels
Reviewed on Jul 10, 2026
Review provided by G2
What do you like best about the product?
I like Fireworks AI, and what separates it from other products is the sheer number of open-source models it offers, along with the low latency. I also find that building CUDA kernels help to generate much faster.
What do you dislike about the product?
There isn't much i dislike about fireworks AI. However, I very much dislike how there isn't even a free tier, and that I have to add a credit card to even use the features.
What problems is the product solving and how is that benefiting you?
The hardware kernels of Fireworks AI really helps with response times compared to typical open-source deployments. Also, with fireworks AI, it eliminates the need to buy dedicated GPU's.