AWS Generative AI Solutions: Core & Infrastructure Offerings

Table of Contents

1. Introduction
2. Core and Infrastructure Software Offerings
3. Conclusion
4. FAQ

Introduction

Imagine a world where machines can create, learn, and interact just like humans, transforming various sectors by generating innovative solutions and automating complex tasks. This vision is becoming a reality in 2023, as generative artificial intelligence (AI) gains a foothold in numerous industries. Have you wondered how businesses can rapidly integrate this groundbreaking technology into their operations? The AWS Marketplace is a comprehensive hub where organizations can access diverse generative AI solutions to accelerate their journey.

In this blog post, we delve into the core and infrastructure software offerings available in the AWS Marketplace. By the end, you'll have a clear understanding of the tools and resources AWS partners provide to help you harness the power of generative AI.

Core and Infrastructure Software Offerings

AWS Marketplace provides a variety of core and infrastructure software, falling into three main categories:

1. Foundation Models (FMs) and Vector Databases
2. Large Language Model Operations (LLMOps), Observability, and Security & Privacy Tools
3. Compute Services, Inference Endpoints, and Prepackaged Offerings

Each category encompasses essential tools and technologies to support the deployment and maintenance of generative AI applications.

Foundation Models and Vector Databases

Foundation Models

Foundation models are machine learning (ML) models that understand and generate natural language content. These models are integral to the capabilities of generative AI systems, enabling them to respond to prompts and create original content. AWS Marketplace offers a variety of FMs accessible through Amazon SageMaker and Amazon Bedrock, including models from:

• AI21 Labs
• Cohere
• Stability.ai
• LightOn
• Jina AI
• Voyage AI
• Upstage
• Alt Inc.
• Nomic
• Maritaca AI
• NCSOFT

Amazon Bedrock is a managed service that provides FM access from leading AI companies through a single API, simplifying application development and deployment.

Amazon SageMaker JumpStart provides pre-built ML models and solutions, including FMs, facilitating quick deployment and integration into your applications.

Vector Databases

Vector databases are designed to store and retrieve high-dimensional vectors, crucial for semantic, visual, and multimodal searches. They can be paired with generative AI models for creating intelligent, conversational search experiences. Available vector databases in AWS Marketplace include SaaS options like:

• DataStax Astra DB
• Elastic Cloud’s Elasticsearch Service
• Weaviate
• Pinecone
• MongoDB Atlas
• Zilliz
• Qdrant
• Redis
• Neo4j Aura
• SingleStore
• Kx Kdb Insights
• CrateDB
• Couchbase Capella

Additionally, Amazon Machine Image (AMI) options include:

• Franz Inc. AllegroGraph
• Unum UniStore CE

By utilizing these databases, businesses can implement advanced use cases such as Retrieval Augmented Generation (RAG) for recommendation and personalization.

Large Language Model Operations (LLMOps), Observability, and Security & Privacy Tools

Effective deployment and management of generative AI systems require specialized tools to ensure reliability, performance, and security. AWS Marketplace offers several solutions:

LLMOps and Observability Tools

LLMOps simplify the deployment and operational management of language models, providing necessary infrastructure and support. Observability tools offer insights into model behavior, crucial for regulated industries requiring transparency and compliance.

Key SaaS offerings include:

• CraftAI MLOps Platform
• Comet MLOps
• Arthur
• Abacus.AI Platform
• Weights & Biases AI Development Platform
• Union Cloud

AMI options:

• LangGenius Dify
• Amazon SageMaker Mphasis Factual Consistency Metric – LLMOps

Security and Privacy Tools

Generative AI applications often handle sensitive data, necessitating robust security and privacy measures. Available SaaS solutions provide comprehensive security frameworks:

• AIShield GuArdIan from Bosch
• Add Value Machine’s Enterprise Generative AI Security Hub
• Portal26’s AI TRiSM
• MixMode Real-time Threat Detection and Response
• Compliance.sh Security Compliance Automated with AI
• Blink Ops Blink security automation copilot

Other deployment options include:

• Philterd Airlock
• SpinSys MDACA PrivateGPT with Keycloak
• Private AI: Detect, Redact and Anonymize PII
• Tonic

Platforms, Compute Services, Inference Endpoints, and Prepackaged Offerings

This category includes infrastructure, tools, and solutions for developing, deploying, and managing generative AI models, leveraging the scalability and flexibility of cloud computing.

Platforms

Comprehensive platforms available as SaaS in AWS Marketplace include:

• Fireworks AI
• Stratio Generative AI Data Fabric
• Arcee.ai SLM Adaptation System
• IBM watsonx Orchestrate
• FriendliAI Friendli Dedicated Endpoints
• Reconify
• Vectara GenAI Platform
• Saturn Cloud
• TrustPortal for AWS Generative AI

Additional options through AMI, AWS CloudFormation template, Amazon EC2, and Amazon EKS:

• NVIDIA AI Enterprise
• Intel Distribution of OpenVINO Toolkit
• Ai Bloks llmware for Enterprise-Grade LLM Applications
• ZS Max.AI Platform
• Datasaur.ai LLM Labs
• ecosystem.Ai platform

Compute Services, Inference Endpoints, and Prepackaged Offerings

These offerings include services like:

• OctoML OctoAI (SaaS)
• MK1 Flywheel (Amazon SageMaker)

AMI and CloudFormation options:

• Meetrix.io
• Apps4Rent offers

Conclusion

The AWS Marketplace provides a rich ecosystem of generative AI solutions, helping organizations quickly deploy and optimize AI-driven applications with industry-leading tools. Whether you need foundational models, vector databases, LLMOps, security tools, or comprehensive platforms, the AWS Marketplace offers curated solutions to meet your generative AI needs.

As generative AI matures, utilizing the right infrastructure and tools is critical for leveraging its full potential. The AWS partner community is committed to helping businesses unlock productivity, streamline operations, and create innovative customer experiences through these advanced technologies.

FAQ

What are Foundation Models (FMs)?

Foundation Models are sophisticated machine learning models capable of generating original content and natural language processing. They form the core of generative AI applications.

How do Vector Databases support generative AI?

Vector databases store and retrieve high-dimensional vectors for semantic, visual, and multimodal searches, enhancing the capabilities of generative AI models in providing accurate and personalized responses.

What are LLMOps tools?

LLMOps tools simplify the deployment, operation, and management of large language models, reducing complexity and enhancing observability for maintaining model integrity and performance.

Why are security and privacy tools essential for generative AI?

These tools protect sensitive data handled by generative AI applications, ensuring compliance with data privacy regulations and mitigating risks associated with data breaches.

How can I find more generative AI solutions on AWS?

Visit the AWS Marketplace Generative AI partner solutions page to explore a wide range of models, tools, applications, and professional services designed to accelerate your generative AI journey.