Microsoft Azure vs Fireworks AI
Compare GPU pricing, features, and specifications between Microsoft Azure and Fireworks AI cloud providers. Find the best deals for AI training, inference, and ML workloads.
Microsoft Azure
Provider 1
Fireworks AI
Provider 2
Comparison Overview
GPU Pricing Comparison
Features Comparison
Microsoft Azure
- Azure AI
Comprehensive suite of AI services and tools for building intelligent applications
- Enterprise Integration
Seamless integration with Microsoft ecosystem and enterprise tools
- Hybrid Capabilities
Strong hybrid and multi-cloud support with Azure Arc
- Advanced Security
Industry-leading security features and compliance certifications
- Global Scale
Extensive worldwide network of data centers and edge locations
Fireworks AI
- 400+ Open-Source Models
Instant access to Llama, DeepSeek, Qwen, Mixtral, FLUX, Whisper, and more
- Blazing Fast Inference
Industry-leading throughput and latency processing 140B+ tokens daily
- Fine-Tuning Suite
SFT, DPO, and reinforcement fine-tuning with LoRA efficiency
- OpenAI-Compatible API
Drop-in replacement for easy migration from OpenAI
- On-Demand GPUs
A100, H100, H200, and B200 deployments with per-second billing
- Batch Processing
50% discount for async bulk inference workloads
Pros & Cons
Microsoft Azure
Advantages
- Strong enterprise integration and support
- Comprehensive AI and machine learning services
- Advanced security and compliance features
- Extensive hybrid cloud capabilities
Considerations
- Complex pricing and billing structure
- Can be expensive for certain workloads
- Steeper learning curve for new users
Fireworks AI
Advantages
- Lightning-fast inference with industry-leading response times
- Easy-to-use API with excellent OpenAI compatibility
- Wide variety of optimized open-source models
- Competitive pricing with 50% off cached tokens and batch processing
Considerations
- Limited capacity with some serverless model limits
- Primarily focused on language models over image/video generation
- BYOC only available for major enterprise customers
Compute Services
Microsoft Azure
Azure Virtual Machines
GPU-enabled VMs for various workloads
Azure Kubernetes Service (AKS)
Managed Kubernetes service with GPU support
- Integrated GPU node pools
- Automated scaling and updates
Azure Machine Learning
End-to-end ML platform with GPU acceleration
- Automated ML capabilities
- Integrated MLOps
Fireworks AI
Pricing Options
Microsoft Azure
Pay-as-you-go
Flexible pricing with no upfront commitment
Reserved VM Instances
Save up to 72% with 1 or 3-year commitments
Spot VMs
Up to 90% savings for interruptible workloads
Azure Hybrid Benefit
Cost savings for existing Windows Server and SQL Server licenses
Fireworks AI
Serverless pay-per-token
Starting at $0.10/1M tokens for small models, $0.90/1M for large models
Cached tokens
50% discount on cached input tokens
Batch processing
50% discount on async bulk inference
On-demand GPUs
Per-second billing from $2.90/hr (A100) to $9.00/hr (B200)
Getting Started
Microsoft Azure
- 1
Create an Azure account
Sign up for Azure and get started with free credits
- 2
Set up your environment
Configure your subscription, resource groups, and access controls
- 3
Choose compute services
Select from VMs, containers, or serverless based on your needs
- 4
Deploy resources
Launch your first GPU-enabled instance or AI service
Fireworks AI
- 1
Explore Model Library
Browse 400+ models at fireworks.ai/models
- 2
Test in Playground
Experiment with prompts interactively without coding
- 3
Generate API Key
Create an API key from user settings in your account
- 4
Make first API call
Use OpenAI-compatible endpoints or Fireworks SDK
- 5
Scale to production
Transition to on-demand GPU deployments for production workloads
Support & Global Availability
Microsoft Azure
Global Regions
60+ regions worldwide with multiple availability zones
Support
Basic, Developer, Standard, and Professional Direct support plans with 24/7 options. Extensive documentation and community resources.
Fireworks AI
Global Regions
18+ global regions across 8 cloud providers with multi-region deployments and BYOC support for enterprise
Support
Documentation, Discord community, status page, email support, and dedicated enterprise support with SLAs
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