poolside and AWS announce strategic agreement to enable secure, customized generative AI for software engineering on Amazon Bedrock and Amazon Elastic Cloud Compute (EC2)
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.
Amazon Web Services (AWS) e poolside hanno annunciato un accordo pluriennale per rendere disponibili l'Assistente AI generativa e i modelli fondamentali di poolside su Amazon Bedrock e Amazon EC2. Questa partnership consente ai clienti aziendali di personalizzare gli strumenti AI di poolside utilizzando i propri dati, sfruttando nel contempo le funzionalità di sicurezza e prestazioni di AWS.
poolside utilizzerà i chip AWS Trainium per l'inferenza dei modelli, ottimizzando il rapporto prezzo-prestazioni. I modelli fondamentali dell'azienda, malibu e point, sono progettati specificamente per lo sviluppo software, con malibu che si concentra su sfide ingegneristiche complesse e point specializzato nel completamento rapido del codice. La soluzione consente un'implementazione sicura all'interno dei firewall dei clienti, senza condivisione dei dati con poolside.
Amazon Web Services (AWS) y poolside anunciaron un acuerdo de varios años para hacer disponibles el Asistente de IA generativa y los modelos fundamentales de poolside en Amazon Bedrock y Amazon EC2. Esta asociación permite a los clientes empresariales personalizar las herramientas de IA de poolside utilizando sus propios datos, aprovechando al mismo tiempo las características de seguridad y rendimiento de AWS.
poolside utilizará chips AWS Trainium para la inferencia de modelos, optimizando la relación precio-rendimiento. Los modelos fundamentales de la empresa, malibu y point, están diseñados específicamente para el desarrollo de software, con malibu enfocado en desafíos de ingeniería complejos y point especializado en la finalización rápida de código. La solución permite un despliegue seguro dentro de los firewalls del cliente, sin compartir datos de vuelta a poolside.
아마존 웹 서비스(AWS)와 풀사이드는 풀사이드의 생성적 AI 어시스턴트 및 기본 모델을 아마존 베드락과 아마존 EC2에서 사용할 수 있도록 다년간의 협약을 체결했습니다. 이번 파트너십을 통해 기업 고객은 데이터의 보안을 유지하면서도 AWS의 보안 및 성능 기능을 활용하여 풀사이드의 AI 도구를 자신만의 데이터로 맞춤 설정할 수 있게 됩니다.
풀사이드는 모델 추론을 위해 AWS 트레인리움 칩을 활용하여 가격 성능을 최적화합니다. 회사의 기본 모델인 말리부와 포인트는 소프트웨어 개발을 위해 특별히 설계되었으며, 말리부는 복잡한 엔지니어링 문제 해결에 중점을 두고, 포인트는 신속한 코드 완성에 특화되어 있습니다. 이 솔루션은 고객 방화벽 내에서 보안 배포를 가능하게 하며, 데이터가 풀사이드에 다시 공유되지 않습니다.
Amazon Web Services (AWS) et poolside ont annoncé un accord pluriannuel pour rendre disponibles l'Assistant IA génératif et les modèles fondamentaux de poolside sur Amazon Bedrock et Amazon EC2. Ce partenariat permet aux clients entreprises de personnaliser les outils IA de poolside en utilisant leurs propres données tout en bénéficiant des fonctionnalités de sécurité et de performance d'AWS.
poolside utilisera des puces AWS Trainium pour l'inférence des modèles, optimisant ainsi le rapport qualité-prix. Les modèles fondamentaux de l'entreprise, malibu et point, sont spécifiquement conçus pour le développement logiciel, malibu se concentrant sur des défis d'ingénierie complexes et point se spécialisant dans l'achevement rapide du code. La solution permet un déploiement sécurisé à l'intérieur des pare-feux des clients, sans partage de données avec poolside.
Amazon Web Services (AWS) und poolside haben eine mehrjährige Vereinbarung bekannt gegeben, um den generativen KI-Assistenten und die Grundmodelle von poolside auf Amazon Bedrock und Amazon EC2 verfügbar zu machen. Die Partnerschaft ermöglicht es Unternehmenskunden, die KI-Tools von poolside mit ihren eigenen Daten anzupassen und gleichzeitig die Sicherheits- und Leistungsfunktionen von AWS zu nutzen.
poolside wird AWS Trainium-Chips für die Modellauswertung verwenden und so das Preis-Leistungs-Verhältnis optimieren. Die Grundmodelle des Unternehmens, malibu und point, sind speziell für die Softwareentwicklung konzipiert, wobei malibu sich auf komplexe Ingenieursprobleme konzentriert und point auf die schnelle Codevervollständigung spezialisiert ist. Die Lösung ermöglicht eine sichere Bereitstellung innerhalb der Firewalls der Kunden, ohne dass Daten an poolside zurückgegeben werden.
- 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
- None.
Insights
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
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.
This partnership significantly enhances AMZN's competitive position in the enterprise AI market. With poolside's
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
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
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