poolside and AWS announce strategic agreement to enable secure, customized generative AI for software engineering on Amazon Bedrock and Amazon Elastic Cloud Compute (EC2)

Rhea-AI Summary

Amazon Web Services (AWS) and poolside announced a multi-year agreement to make poolside's generative AI Assistant and foundation models available on Amazon Bedrock and Amazon EC2. The partnership allows enterprise customers to customize poolside's AI tools using their own data while leveraging AWS's security and performance features.

poolside will utilize AWS Trainium chips for model inference, optimizing price performance. The company's foundation models, malibu and point, are specifically designed for software development, with malibu focusing on complex engineering challenges and point specializing in rapid code completion. The solution enables secure deployment within customer firewalls, with no data shared back to poolside.

Positive

• Strategic partnership with AWS expands market reach to enterprise customers
• Deployment on Amazon Bedrock and EC2 enhances security and privacy features
• Utilization of AWS Trainium chips optimizes price performance
• Company valued at $3 billion in recent funding round

Negative

• None.

Insights

Tech Expert

This strategic partnership marks a significant advancement in enterprise-level AI deployment. The integration of poolside's software engineering models with AWS infrastructure addresses critical enterprise needs: security, scalability and customization. The use of AWS Trainium chips for inference operations suggests optimized cost-performance ratios, while the ability to deploy within customer firewalls tackles data privacy concerns head-on.

The technical architecture leverages Amazon Bedrock's API for seamless integration, while the EC2 deployment option provides flexibility in implementation. The Reinforcement Learning From Code Execution Feedback (RLCEF) capability, processing 1 million container images and 10,000 code executions per minute, demonstrates robust scalability and real-world applicability.

For AWS, this partnership strengthens their AI offerings in the competitive cloud market, while for poolside, it provides enterprise-grade infrastructure and immediate access to AWS's vast customer base. The focus on code execution data training rather than customer data for model improvement is a technically sound approach to maintaining privacy while ensuring continuous model enhancement.

Market Research Analyst

This partnership significantly enhances AMZN's competitive position in the enterprise AI market. With poolside's 3 billion valuation and specialized AI capabilities, AWS strengthens its offering against competitors like Microsoft's GitHub Copilot and Google's Cloud AI. The deal addresses the growing enterprise demand for secure, customizable AI solutions while leveraging AWS's dominant market position in cloud services.

The strategic timing aligns with increasing enterprise adoption of AI tools, particularly in software development. The partnership's focus on security and privacy directly addresses key enterprise concerns that have been limiting AI adoption. The streamlined procurement process through AWS will likely accelerate enterprise adoption, potentially driving increased usage of both AWS services and poolside's AI solutions.

This move could positively impact AWS's revenue streams through increased service utilization and strategic positioning in the high-growth AI market segment.

• New offering will make it easier for customers to run poolside in their existing AWS environment
• poolside software engineering foundation models are now available on Amazon Elastic Cloud Compute (EC2) and coming soon to Amazon Bedrock
• poolside leverages AWS Trainium chips to power inference for generative AI models

LAS VEGAS, Dec. 4, 2024 /PRNewswire/ -- At AWS re:Invent, Amazon Web Services (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN) and poolside, the frontier artificial intelligence (AI) unicorn valued at $3 billion in an October funding round, today announced a multi-year agreement to make poolside's generative AI Assistant and foundation models (FMs) available in Amazon Bedrock. Amazon Bedrock is a fully-managed service that offers developers access to high-performing models from leading AI companies through a single API. As a result, enterprise customers will soon be able to customize poolside's generative AI Assistant for software development with their own data, leveraging the security, privacy, and performance of AWS.

As part of the agreement, poolside will also leverage AWS Trainium chips to power inference for its malibu and point foundation models, enabling optimal price performance for customers. AWS Trainium is a high-performance machine learning chip designed to reduce the time and cost of running generative AI models. AWS customers are now able to deploy poolside securely on Amazon Elastic Cloud Compute (EC2) and will soon be able to so through Amazon Bedrock, relying on Amazon EC2 Trainium instances for inference.

Solving for the generative AI needs of enterprise organizations
Bringing poolside's models to Amazon Bedrock and EC2 provides enterprise customers of both companies with a unique advantage to solving complex software engineering tasks and driving development productivity for their organizations through generative AI. poolside FMs are designed to be fine-tuned with each business's code and data, producing a proprietary generative AI model and software engineering assistant for that specific business. poolside in Amazon Bedrock and EC2 will enable enterprise organizations to meet security, privacy and compliance concerns and quickly deploy their custom generative AI models. AWS customers will be able to deploy poolside models where their data is stored, within their firewalls, on the world's most secure cloud, and with no data shared back with poolside.  

poolside's Reinforcement Learning From Code Execution Feedback (RLCEF) technique runs on AWS today, powering approximately one million container images, while allowing for 10,000 code executions per minute. RLCEF allows poolside to generate synthetic training data at scale by exposing models to realistic coding tasks in real-world code bases, providing feedback based on code execution, and employing a large-scale Reinforcement Learning approach for training. Proving RLCEF at scale is what allows poolside models to train on increasingly more data without relying on any of their customers' data – enabling enterprise customers to deploy models securely and privately.

"We've been incredibly impressed with the AWS team and are excited to partner on this journey to unlock more of the potential of AI for software development," said poolside CEO Jason Warner. "Today, the majority of developers sit within an enterprise environment where access to these tools is scarce and their full potential is not yet realized. Companies of this scale need a tailored model that can both capture their proprietary knowledge and learn from their interactions over time. That is what we've built, and AWS's reputation and depth within the enterprise is key to accelerating adoption and impact."

"Giving AWS customers the flexibility to run poolside in Amazon Bedrock or on their own EC2 instances will further enhance their ability to innovate with generative AI," said Dave Brown, Vice President, AWS Compute & Networking Services. "poolside offers a unique solution for software engineering teams of large enterprise customers looking to build and scale generative AI applications through foundation models without sacrificing privacy and security. It's yet another way for enterprise organizations to leverage their internal knowledge base to build proprietary, tailored solutions."

Streamlined procurement, contracting, and budgeting through their relationship with AWS makes it even easier for AWS customers to experiment securely with poolside.

Models for specific use cases
AWS is the first cloud provider to offer fully-managed models from poolside. The poolside Assistant is powered by models ideal for software development and coding-related use cases: poolside's malibu and point generative AI models. poolside's FMs are trained on the world's largest pool of code execution data and fine-tuned on how large enterprises write software. malibu is highly versatile and excels at tackling complex engineering challenges, delivering intricate code generation and test and documentation generation. point is engineered for rapid code completion, leveraging advanced context awareness to accurately predict developers' needs. point offers real-time suggestions for algorithm optimization and design patterns. With poolside, Amazon Bedrock customers will soon have their own proprietary models, fine-tuned on their own data, that continuously learn how their developers write code.

About poolside
poolside is building the world's most capable AI for software development. Its foundation model – built from the ground up – gives companies a private and secure alternative that can be tailored to their environment and that continuously learns from their usage and interactions. Headquartered in the U.S., poolside has amassed a powerhouse team of applied researchers and engineers from Deepmind, Yandex, Amazon, Uber, and more, and a go-to-market team led by Paul St. John, previously CRO at GitHub. poolside is backed by Bain Capital Ventures, DST Global, Felicis Ventures, Redpoint Ventures, and other institutional investors as well as corporates and leading angel investors. For more information, visit www.poolside.ai.

poolside Media Contacts
press@poolside.ai

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FAQ

What is the partnership between poolside and AWS (AMZN) announced in December 2024?

poolside and AWS announced a multi-year agreement to make poolside's generative AI Assistant and foundation models available on Amazon Bedrock and Amazon EC2, allowing enterprise customers to customize AI tools with their own data.

What are the main features of poolside's AI models on AWS (AMZN) platform?

poolside offers two main models: malibu for complex engineering challenges and code generation, and point for rapid code completion and real-time suggestions, both leveraging AWS Trainium chips for optimal performance.

How does poolside ensure data security on AWS (AMZN) platform?

poolside allows deployment within customer firewalls on AWS, with no data shared back to poolside, ensuring security and privacy for enterprise customers' proprietary information.