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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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
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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
Ihor B.
Fast, affordable and stable solution which lacks better support
Reviewed on Aug 27, 2026
Review provided by G2
What do you like best about the product?
fast, cheap hosted inference for open models
What do you dislike about the product?
Fireworks admits serverless is best-effort with no uptime SLA and models can be pulled on two weeks' notice. And the cheap per-token pricing dies the moment we fine-tune, since custom models require a dedicated GPU deployment.
What problems is the product solving and how is that benefiting you?
Fireworks solves the cost and latency problem of running open models at volume. We're a vertical AI platform for beauty and wellness businesses, and our agent handles a high number of short, repetitive turns, intent classification, reply drafting, follow-up. Running those on a frontier API was overkill and expensive. Fireworks lets us serve open models fast enough for real-time conversation at a fraction of the cost, which keeps our per-client margin healthy as we scale.
Ayesha N.
High-Speed, Cost-Effective Inference for Open-Source LLMs
Reviewed on Aug 27, 2026
Review provided by G2
What do you like best about the product?
Blazing Fast Speed: Industry-leading inference latency and high token generation rates, making it a great fit for real-time apps.
Drop-in OpenAI API: Frictionless integration—just swap endpoints by changing the base URL in your existing code.
Cost-Efficient Multi-LoRA: Serve multiple custom fine-tuned adapters on a single base model without paying for dedicated GPUs.
Drop-in OpenAI API: Frictionless integration—just swap endpoints by changing the base URL in your existing code.
Cost-Efficient Multi-LoRA: Serve multiple custom fine-tuned adapters on a single base model without paying for dedicated GPUs.
What do you dislike about the product?
Developer-Only Focus: This is built strictly for engineers through API access; there’s no turnkey, non-technical consumer interface (like ChatGPT).
Open-Weight Limits: It performs about as well as the open models it hosts (e.g., Llama, Qwen). For ultra-complex reasoning, top-tier proprietary models (like Claude 3.5 Sonnet) may still have an edge.
Rapid Ecosystem Churn: Because open-source models evolve quickly, keeping up with frequent model updates, API parameter changes, and versioning takes active, ongoing maintenance.
Open-Weight Limits: It performs about as well as the open models it hosts (e.g., Llama, Qwen). For ultra-complex reasoning, top-tier proprietary models (like Claude 3.5 Sonnet) may still have an edge.
Rapid Ecosystem Churn: Because open-source models evolve quickly, keeping up with frequent model updates, API parameter changes, and versioning takes active, ongoing maintenance.
What problems is the product solving and how is that benefiting you?
Problems Fireworks AI Solves
High Latency: Eliminates slow generation bottlenecks in real-time apps by using optimized inference engines.
Costly GPU Hosting: Removes the need to pay for dedicated GPUs by relying on efficient, shared multi-LoRA serving.
DevOps Overhead: Eliminates the complex infrastructure management required to host open-source models manually.
Code Friction: Helps prevent vendor lock-in by supporting a standard, drop-in OpenAI-compatible API format.
High Latency: Eliminates slow generation bottlenecks in real-time apps by using optimized inference engines.
Costly GPU Hosting: Removes the need to pay for dedicated GPUs by relying on efficient, shared multi-LoRA serving.
DevOps Overhead: Eliminates the complex infrastructure management required to host open-source models manually.
Code Friction: Helps prevent vendor lock-in by supporting a standard, drop-in OpenAI-compatible API format.
Sourav D.
Best AI open source so far.
Reviewed on Aug 25, 2026
Review provided by G2
What do you like best about the product?
Since I have tried many open source tools like Gemini,ChatGPT and Claude but this Fireworks Ai is a fast inference tool for open-source and custom models.Its supports a wide range of open source LLMs and deploying models and also JSON mode.Firewoks Ai has accuracy around 90% ,among the best in the open models.there is an ecosystem of native connectors, vector databases,RAG tools, MLOps monitoring tools.It has affordable pricing, often cheaper than proprietary APIs for comparable open models.The dashboard is very user-friendly, and we need to dig in fairly deep to understand how the tool actually works.i had an experience with the support system so far.
What do you dislike about the product?
i disliked the most is that a surge in user traffic or loop in code can result in massive issues,unexpected bills that are difficult to forecast.
What problems is the product solving and how is that benefiting you?
There are so many AI model libraries available that it is easy to use cost-efficient. There is so much to explore;being an IT person Fireworks AI is very useful for me in the IT profession.
Indian warrior G.
Fireworks AI: Powerful, Flexible Platform for Modern AI Development
Reviewed on Aug 19, 2026
Review provided by G2
What do you like best about the product?
Fireworks AI is an impressive and highly interesting platform for anyone exploring modern AI development. The website has a clean, professional, and visually engaging design, while the platform itself offers powerful features for model training, inference, fine-tuning, and deployment.
What I found especially interesting is the flexibility to work with open models and customize them for specific use cases. The platform also makes advanced AI infrastructure feel much more accessible to developers. The combination of performance, scalability, and developer-focused tools makes Fireworks AI stand out.
Overall, Fireworks AI feels like a forward-thinking platform with a strong focus on making AI faster, more flexible, and easier to build with. Definitely an exciting platform to explore for AI developers and students interested in the future of artificial intelligence.
What I found especially interesting is the flexibility to work with open models and customize them for specific use cases. The platform also makes advanced AI infrastructure feel much more accessible to developers. The combination of performance, scalability, and developer-focused tools makes Fireworks AI stand out.
Overall, Fireworks AI feels like a forward-thinking platform with a strong focus on making AI faster, more flexible, and easier to build with. Definitely an exciting platform to explore for AI developers and students interested in the future of artificial intelligence.
What do you dislike about the product?
The platform is impressive overall, but the interface can feel a bit overwhelming for first-time users. More beginner-friendly documentation and tutorials, along with clearer step-by-step guidance for getting started, would make the experience even better.
What problems is the product solving and how is that benefiting you?
Fireworks AI helps solve the challenge of accessing and deploying powerful AI models efficiently without needing to manage complex infrastructure. It makes model inference, fine-tuning, and deployment more accessible and scalable.
For me, it is beneficial because I can explore and test different AI models, understand how modern AI systems work, and experiment with AI applications in a developer-friendly environment. The platform also helps reduce the complexity of getting AI models into practical use.
For me, it is beneficial because I can explore and test different AI models, understand how modern AI systems work, and experiment with AI applications in a developer-friendly environment. The platform also helps reduce the complexity of getting AI models into practical use.
Rehan A.
Fast, Flexible AI Workflow Testing with a Great API Experience
Reviewed on Aug 18, 2026
Review provided by G2
What do you like best about the product?
I use Fireworks AI to experiment with different generative AI models and build AI-based workflows. I like the API experience and the ability to work with different models without having to manage the underlying infrastructure myself. It makes testing AI use cases relatively quick
What do you dislike about the product?
The number of available models and configuration options can feel a little overwhelming initially. It can also take some testing to find the right model and settings for a particular use case.
What problems is the product solving and how is that benefiting you?
Fireworks AI helps me experiment with and integrate generative AI into applications without building the model infrastructure from scratch. It saves development time and makes it easier to test different models for specific use cases.