AWS Bedrock is Amazon's fully managed generative AI service providing Claude (Anthropic), Llama (Meta), Titan (Amazon), Mistral and Stable Diffusion as serverless APIs within your AWS account. No servers to manage, no GPU infrastructure to operate — pay per token. GLADiiUM Technology Partners implements AWS Bedrock for Latin American organizations as part of our AI consulting practice, integrating Bedrock with on-premise systems, Odoo ERP and business applications.
Claude, Llama, Titan, Mistral and Stable Diffusion as fully managed serverless AI APIs within your AWS account — enterprise generative AI with Knowledge Bases for RAG, Bedrock Agents for automation, and Guardrails for enterprise safety
AWS Bedrock is Amazon’s fully managed generative AI service that makes leading foundation models available as serverless APIs within your AWS account. Unlike running AI models on your own infrastructure, Bedrock requires no servers to provision, no GPU instances to manage, and no ML infrastructure to operate — you call the API, pay per token, and AWS handles everything else.
The distinguishing characteristic of AWS Bedrock for Latin American enterprises is model diversity: Bedrock provides access to models from multiple vendors on a single platform, unlike Azure AI Foundry which is primarily OpenAI models on Azure. Bedrock’s model catalog includes Anthropic Claude (Sonnet, Haiku, Opus), Meta Llama (3.1 8B, 70B, 405B), Amazon Titan (text, embeddings, image), Mistral AI (7B, 8x7B, Large), Stability AI (Stable Diffusion XL) and others — all accessible through the same Bedrock API with consistent data governance within your AWS account.
GLADiiUM implements AWS Bedrock for Latin American organizations as part of our AI consulting practice, integrating Bedrock’s AI capabilities with on-premise systems, Odoo ERP, contact center platforms and business applications via n8n and custom API integrations.
AWS Bedrock Model Catalog
Anthropic Claude on Bedrock
Claude models are available on AWS Bedrock as Claude 3.5 Sonnet (highest intelligence), Claude 3 Haiku (fastest and most cost-efficient) and Claude 3 Opus (legacy, maximum capability for complex tasks). Claude on Bedrock is particularly well-suited for Latin American use cases requiring:
- Long document analysis (200K token context — analyze entire contracts, financial reports, regulatory filings)
- Complex reasoning and instruction-following for multi-step workflows
- Code generation and technical documentation in English and Spanish
- Compliance-sensitive applications where Claude’s Constitutional AI alignment provides an additional safety layer
Meta Llama on Bedrock
Llama 3.1 models (8B, 70B, 405B) are available on Bedrock as the leading open-weight models. Llama on Bedrock is ideal for:
- Cost-sensitive high-volume applications where Llama 3.1 8B or 70B provide sufficient capability at lower per-token cost than Claude or GPT-4o
- Organizations that want open-weight model flexibility — the same Llama models available on Bedrock can also be deployed on-premise on Lenovo AI servers
- Fine-tuning use cases: Llama models can be fine-tuned on Bedrock using your proprietary data
Amazon Titan on Bedrock
Amazon’s own Titan models provide text generation, embeddings and image generation capabilities with the tightest AWS integration:
- Titan Text: Cost-effective text generation for high-volume tasks like summarization, classification and data extraction
- Titan Embeddings: Vector embeddings for semantic search and RAG applications, integrating natively with Amazon OpenSearch for Knowledge Bases
- Titan Image Generator: Text-to-image generation for marketing, product visualization and content creation
Mistral AI on Bedrock
Mistral 7B, Mixtral 8x7B and Mistral Large provide European AI models on AWS Bedrock. For Latin American organizations with EU data governance requirements preferring European AI providers, Mistral models on Bedrock provide a European alternative within the AWS governance framework.
Bedrock Features for Enterprise AI
- Knowledge Bases: RAG on your documents with Amazon OpenSearch or Aurora as the vector store
- Bedrock Agents: Autonomous AI agents that call external APIs, query databases and execute multi-step tasks
- Guardrails: Content filtering, PII redaction, topic restrictions and hallucination detection for safe enterprise AI
- Model Evaluation: Automated evaluation of model responses for quality, accuracy and safety
AWS Bedrock vs Azure AI Foundry — Choosing for Latin America
The most common question GLADiiUM receives from Latin American organizations evaluating enterprise AI deployment is whether to use Azure AI Foundry or AWS Bedrock. The honest answer: both are excellent platforms and the right choice depends on your existing cloud investments and use case requirements.
- Choose Azure AI Foundry if: you are already on Microsoft Azure or Microsoft 365, you specifically need OpenAI’s GPT-4o or o1 models, you want native integration with Microsoft Copilot Studio, or your regulated environment requires Microsoft’s compliance certifications
- Choose AWS Bedrock if: you are already on AWS, you want maximum model choice across multiple vendors, you specifically need Claude (Anthropic) or Llama (Meta) models, or you want to avoid dependency on a single AI vendor
- Use both if: you run a hybrid cloud environment with both Azure and AWS, or different use cases in your organization are better served by different model families
GLADiiUM is model-agnostic and implements both platforms. See our Azure AI Foundry page for the Azure deployment path.
Frequently Asked Questions — AWS Bedrock Latin America
Does AWS Bedrock use my data to train the foundation models?
No. AWS Bedrock does not use your prompts, completions or fine-tuning data to train or improve the foundation models provided by Anthropic, Meta, Mistral or Amazon. Your data stays in your AWS account and is subject to AWS’s data processing terms. This is the same data governance principle as Azure AI Foundry — both enterprise AI platforms ensure your data does not train the underlying models, unlike consumer-facing AI interfaces.
Can GLADiiUM implement Bedrock Agents for autonomous AI workflows?
Yes. Bedrock Agents are one of the most powerful capabilities in AWS Bedrock for Latin American enterprise use cases. An Agent can be configured with tools (API calls, Lambda functions, database queries) that it calls autonomously to complete multi-step tasks. Examples GLADiiUM has implemented: an agent that receives a customer inquiry via WhatsApp, queries the Odoo CRM API for customer history, checks inventory via the Odoo API, and responds with a personalized quote — entirely autonomously. Bedrock Agents combined with n8n orchestration provide the agentic AI architecture that most enterprise automation use cases require.
What is the cost of AWS Bedrock for a Latin American business?
Bedrock pricing is per-token (per 1,000 input and output tokens) with no minimum commitment. Claude 3 Haiku is the most cost-efficient model for high-volume tasks. Claude 3.5 Sonnet is mid-range. Llama 3.1 8B via Bedrock is the lowest cost option for appropriate use cases. GLADiiUM provides a cost modeling exercise as part of every AI implementation assessment — estimating monthly Bedrock costs based on your expected volume, task type and model selection before any commitment.
Deploy Enterprise AI with AWS Bedrock
GLADiiUM will design your AWS Bedrock deployment — model selection, Knowledge Bases architecture, Agent configuration and Guardrails — integrated with your existing AWS environment and business systems.
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