DeepCost
Bedrock
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DeepCost

Optimize your AWS Bedrock costs

Reduce AWS Bedrock costs by up to 65% with cross-model routing, semantic caching, and intelligent provisioned throughput optimization.

5-Minute Setup

Connect via AWS IAM with read-only access to Bedrock

Cross-Model Routing

Automatically route to the optimal model based on task complexity

65% Cost Reduction

Average savings through intelligent optimization strategies

Supported Foundation Models

Anthropic

  • Claude 3.5 Sonnet
  • Claude 3 Opus
  • Claude 3 Haiku
  • Claude Instant

Amazon

  • Titan Text G1
  • Titan Embeddings
  • Titan Image Generator

Meta

  • Llama 2
  • Llama 3
  • Llama 3.1

Cohere

  • Command R
  • Command R+
  • Embed

AI21

  • Jurassic-2 Ultra
  • Jurassic-2 Mid

Stability AI

  • SDXL
  • SD 3.0

Simple setup process

1

Create IAM Role

Deploy our CloudFormation template to create read-only access to Bedrock

2

Enable Model Access

Ensure the models you use are enabled in your Bedrock console

3

Start Analysis

DeepCost analyzes your Bedrock usage patterns immediately

4

Enable Optimization

Activate intelligent routing and caching for cost savings

Cross-Model Analytics

Claude UsageOptimized
Titan UsageOptimized
Llama UsageOptimized
Provisioned ThroughputRight-sized

Optimization Features

Cross-Model Routing

40-55%

Route requests to the most cost-effective model that meets quality requirements

Provisioned Throughput

30-50%

Optimize provisioned throughput allocation based on usage patterns

Token Optimization

20-35%

Intelligent prompt compression without losing context

Semantic Caching

25-40%

Cache similar requests to avoid redundant model invocations

Batch Inference

35-50%

Optimize batch processing for maximum throughput and cost efficiency

Usage Analytics

Real-time visibility

Detailed insights into Bedrock usage patterns across all models

Frequently Asked Questions

How does cross-model routing work?

Our AI analyzes request complexity and routes simple queries to cost-effective models like Claude Haiku or Titan, while sending complex tasks to more capable models.

Can I set model preferences?

Yes, you can configure routing rules, set quality thresholds, and specify preferred models for different use cases.

Does this work with custom models?

Yes, DeepCost supports fine-tuned and custom models deployed on Bedrock. We optimize based on your specific model pricing and performance.

How do you optimize provisioned throughput?

We analyze your usage patterns to recommend optimal provisioned throughput allocation, avoiding over-provisioning while ensuring performance.

Ready to start saving on cloud costs?

Join thousands of companies that have reduced their cloud spending by up to 90% with DeepCost's AI-powered optimization platform.

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