- 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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SOURCE poolside