Generative AI Model Acceleration on AWS

Accelerate the development and deployment of custom generative AI models with our AI Model Acceleration Program on AWS. Leveraging Amazon SageMaker, Amazon Bedrock, and AWS Trainium, we provide a streamlined approach to harnessing generative AI for business and research needs.

Key Features:

1. Custom Model Development – Build AI models from scratch, tailored to your specific objectives using Amazon SageMaker. 2. Foundation Model Fine-Tuning – Optimize existing models with Amazon Bedrock, ensuring continuous pretraining and enhanced performance. 3. Optimized LLM Training – Leverage best practices for training large language models efficiently on AWS infrastructure. 4. Scalable Infrastructure – Design a customized cloud architecture for seamless AI model development, training, and deployment. 5. Cost-Efficient Training – Use AWS Trainium for high-performance, cost-effective AI model training. 6. Integration & Deployment Support – Ensure smooth integration into existing workflows with expert guidance on deployment strategies. 7. Ongoing Optimization – Continuously refine and enhance models to align with evolving business needs and AI advancements.

Deliverables:

1. Custom AI Model – Designed and trained on your data to align with specific business objectives. 2. Fine-Tuned Foundation Models – Continuous improvement using Amazon Bedrock. 3. Future-State Architecture – A strategic blueprint for AI infrastructure on AWS. 4. TCO Estimation – Accurate cost projections using AWS Pricing Calculator. 5. Deployment & Integration – Smooth adoption into your existing tech stack.

Timeline:

Assessment & Roadmap – ~2 weeks Implementation – 8-12 weeks, depending on scope and team availability

Next Steps

1. Review past implementations
2. Receive a tailored proposal with future-state architecture, technical design, implementation plan, testing, and deployment strategy.

Unlock the full potential of AI and drive business transformation with a strategic, AWS-powered AI solution.