AI Platforms Overview
Staque IO supports multiple AI platforms for model deployment and inference. Each platform offers unique advantages for different use cases.
Supported Platforms
☁️
AWS Bedrock
Fully managed foundation models with pay-per-use pricing
✓ No infrastructure management
✓ Multiple model providers
✓ Token-based pricing
🚀
AWS SageMaker
Dedicated infrastructure for custom model deployments
✓ Custom model support
✓ Predictable performance
✓ Full control
⚡
NVIDIA NIM
High-performance hosted inference microservices
✓ Optimized for speed
✓ Cost-effective
✓ Easy integration
Platform Comparison
| Feature | AWS Bedrock | AWS SageMaker | NVIDIA NIM |
|---|---|---|---|
| Pricing Model | Pay-per-token | Hourly instance cost | Pay-per-use |
| Setup Time | Instant | 5-10 minutes | Instant |
| Infrastructure | Fully managed | Dedicated instances | Fully managed |
| Custom Models | Limited (fine-tuning) | Full support | Pre-selected models |
| Best For | Quick prototyping, variable workloads | Production, custom models | High-performance inference |
| Idle Costs | $0 (pay-per-use) | Hourly charge applies | $0 (pay-per-use) |
Choosing a Platform
Use AWS Bedrock When:
- You want instant access to foundation models without infrastructure setup
- Your workload is variable or unpredictable
- You prefer pay-per-token pricing with no idle costs
- You need access to multiple model providers (Anthropic, Amazon, Meta, etc.)
- You want to experiment with different models quickly
Use AWS SageMaker When:
- You have custom models or fine-tuned versions
- You need dedicated, predictable infrastructure
- Your workload is consistent and high-volume
- You require full control over the deployment environment
- You need to deploy models from HuggingFace or other sources
Use NVIDIA NIM When:
- You need high-performance inference with GPU optimization
- You want cost-effective access to popular open-source models
- You prefer managed infrastructure with fast response times
- You're building latency-sensitive applications
- You want to leverage NVIDIA's inference optimizations
💡 Pro Tip: Multi-Platform Strategy
Many organizations use multiple platforms simultaneously:
- Development: Bedrock for rapid prototyping
- Production: SageMaker for stable workloads
- Specialized: NVIDIA NIM for latency-critical endpoints
Getting Started
Click on any platform above to view detailed documentation, including:
- Platform overview and capabilities
- Available models and configurations
- Deployment instructions
- Pricing details
- API usage examples
- Best practices and troubleshooting