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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Buyer guide
Gain valuable insights from real users who purchased this product, powered by PeerSpot.
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
Top
10
In Finance & Accounting, Research
Top
10
In Procurement & Supply Chain
Top
10
In High Performance Computing
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
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.
JOSE FRANCISCO M.
Easy to use, customizable, and with effective and scalable protection
Reviewed on Jul 09, 2026
Review provided by G2
What do you like best about the product?
Easy customization. Easy to use and effective protection of my environment, with simple integration and scalable performance.
What do you dislike about the product?
Licensing/pricing not suitable for some business environments
What problems is the product solving and how is that benefiting you?
The robustness in protection in a way customized to how my teams need it, and with proper support and response to my problems.
Aman S.
The best way to host open-source models seamlessly.
Reviewed on Jul 07, 2026
Review provided by G2
What do you like best about the product?
Their inference speeds are truly top-tier, which makes running open-source models in production feel effortless. The consistently low latency has noticeably improved our user experience, and the platform has been highly reliable overall, with only minimal downtime.
What do you dislike about the product?
The developer dashboard and analytics could be a bit more robust. It gives you the basics, but it would be really helpful to have more granular usage tracking and detailed cost breakdown tools directly in the UI to manage larger team deployments better.
What problems is the product solving and how is that benefiting you?
We were running into incredibly high API costs with closed-source models. Fireworks AI allows us to migrate key workflows over to high-performing open-source alternatives without sacrificing speed. It has dramatically lowered our monthly API spend while maintaining the low-latency performance our application requires to keep users happy.
reviewer2865477
Billing has created unexpected financial risk while inference works reliably for short trials
Reviewed on Jun 26, 2026
Review from a verified AWS customer
What is our primary use case?
I used the latest-gen OSS models.
How has it helped my organization?
It did not improve the organization—the billing experience caused serious harm. Despite subscribing to a plan explicitly labeled 'Pay-As-You-Go,' I was suddenly hit with a $40,000 charge through AWS Marketplace . Nothing ever disclosed that a pay-as-you-go account could incur a flat five-figure charge: no spending cap, no threshold alert, no notification, no warning. Receiving a $40,000 bill out of nowhere, for usage I never knowingly incurred and which my own dashboard does not reflect, has been an extremely stressful experience. This is misleading and unacceptable for a product marketed as pay-as-you-go.
What is most valuable?
The inference itself works fine. The model breadth and speed are reasonable. My problem is entirely with billing, not the technology.
What needs improvement?
Billing transparency and safeguards are urgently needed. A product sold as 'pay-as-you-go' should never produce a surprise $40,000 charge with no spending cap, no real-time threshold alert, and no notification. There must be hard spend limits, immediate alerts, and clear disclosure that large flat charges are possible. The AWS Marketplace metering also appears mis-scaled, billed as flat $10,000 units, approximately 1,000 times the actual usage, which needs to be fixed so customers aren't blindsided.
For how long have I used the solution?
I have used the solution for a few weeks on the 'Pay-As-You-Go' plan via AWS Marketplace.
Which solution did I use previously and why did I switch?
We didn't switch from our primary inference, which runs on Amazon Bedrock . We were trialing Fireworks alongside it for its open-source model selection.
What's my experience with pricing, setup cost, and licensing?
Be extremely cautious. Although it is marketed as 'Pay-As-You-Go,' there are no spending caps, no threshold alerts, and no notifications. We received a sudden $40,000 charge via AWS Marketplace, which we obviously never used, and we filed a case for it.
Which other solutions did I evaluate?
We used Amazon Bedrock as our main platform and other hosted open-source inference providers. We were evaluating Fireworks as an additional option for OSS models.
What other advice do I have?
The inference technology itself is fine, but the billing is a serious risk. We were billed $40,000 on a pay-as-you-go plan for usage we never knowingly incurred and which our own usage dashboard does not reflect. Until there are enforceable spend limits, real-time alerts, and transparent metering, evaluate the billing exposure very carefully before relying on this in production.
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Ike Christian
Custom AI models have transformed our customer chatbot and now deliver faster, tailored responses
Reviewed on Jun 14, 2026
Review provided by PeerSpot
What is our primary use case?
We use Fireworks AI as a powerful tool that helps us in building and scaling our customized AI application model for our business.
We wanted to create a customer base where our customers could interact with us through our chatbot, and Fireworks AI helped us in scaling through that by customizing the AI application model for our business to suit our customer's taste.
Fireworks AI helped us customize the application for our customers by creating strong platform leverage in the ecosystem around it, and that's what we leveraged by it providing us multiple model tiers, which we use in creating that customized AI application for our teams.
What is most valuable?
Fireworks AI has a very fast inference speed by providing minimal delay for our real-time applications.
The best feature Fireworks AI offers is the multiple model tiers; it has very vast model applications where it's more about grasping the infrastructure component quickly, and I think it helps our team balance quality and cost.
Having access to multiple model tiers helps our team balance quality and cost by giving us leverage where we can make options and look at what best suits our company and what we could use, which is beneficial because when you have multiple choices, you can tailor your approach and get what you actually need, so our options are not limited.
Fireworks AI has impacted us positively as it helps in offering us access to the open-source models by advancing fine-tuning options, a massive library where we can get information from the database that we can use in line with our company policy.
Fireworks AI helped us reduce costs, and it helps our team balance quality and improve customer satisfaction because interacting with us at that moment could provide them with easier access and quick answers and responses.
What needs improvement?
The only challenge is that Fireworks AI is not a ready-made business application; you have to customize it to suit your organization's taste, and it lacks a user-friendly dashboard, making it very difficult to grasp. You need to be very detailed to understand how the system works, so I think it could be improved in this aspect.
There is always room for improvement, and that's my fair view and overall scaling for them; as much as it has a fast inference speed, the platform could become more user-friendly. Making it more user-friendly is probably why I chose eight out of ten as my rating.
For how long have I used the solution?
We have been using Fireworks AI for at least two years now.
What do I think about the stability of the solution?
Fireworks AI is very much stable.
What do I think about the scalability of the solution?
The scalability of Fireworks AI is satisfactory to us.
How are customer service and support?
Customer support for Fireworks AI is very friendly, active, and responsive.
Which solution did I use previously and why did I switch?
We were using Groq before we switched to Fireworks AI.
How was the initial setup?
My experience with pricing, setup cost, and licensing was a bit difficult, but the pricing was cost-effective for us, so we were able to get it done. I think it is renewable every year, so that's not a challenge for us.
What was our ROI?
There is a return on investment as Fireworks AI's accuracy helps us with our turnaround time, and I think that's a return on investment for us. It saves us cost as well.
Which other solutions did I evaluate?
Before choosing Fireworks AI, we evaluated other options, including Claude and Groq AI, but then we had to look at the options available to us, considering the cost-effectiveness and the license model.
What other advice do I have?
I advise others looking into using Fireworks AI to use it because the ecosystem around Fireworks creates strong platform leverage and provides multiple model tiers that can let their team balance quality and cost.
Regarding Fireworks AI's AI capabilities, its governance and security policy is deeply rooted, following global standards, and I think that's a fair offering from them.
Regarding Fireworks AI's AI capabilities and the reliability of the output, this has not posed any challenge for us. It's good and satisfactory. I rated this review eight out of ten overall.