tools
Malibu
Malibu is Poolside’s foundation model for software engineering, offered for enterprise deployment through AWS.
In inglese
Malibu is a Poolside foundation model designed for software engineering workloads. Poolside describes its models as suitable for fine-tuning with customer codebases and data, producing tailored models for enterprise teams.
Malibu was offered through AWS, including Amazon Bedrock integration, and could run on AWS Trainium or NVIDIA hardware. Poolside’s current website now focuses on the Laguna model family; no public Malibu pricing or current version was listed.
Features
- Software-engineering-oriented foundation model
- Fine-tuning with customer codebases and data
- Deployment within an organization's AWS environment
- Amazon Bedrock integration
- Inference on AWS Trainium or NVIDIA hardware
- Enterprise security, governance, and data-privacy support
- Inference across multiple hardware platforms
Use cases
- Fine-tune software engineering assistance on proprietary codebases
- Deploy coding AI inside an AWS virtual private cloud
- Run inference using AWS Trainium or NVIDIA hardware
- Build tailored software engineering models for enterprise teams
- Use AI assistance while keeping code and data within company infrastructure
Pros
Cons
Latest updates
- Introducing Poolside Desktop Assistant, for macOS
Poolside Desktop Assistant is a macOS app for running multiple coding agents across projects and repositories. The Poolside Assistant extensions bring the same…
- Introducing Laguna S 2.1 (Laguna S 2.1)
Today we’re releasing Laguna S 2.1, a significant step forward in our development of models that pursue longer horizon work and make effective use of reasoning.
- Introducing Laguna XS 2.1 (Laguna XS 2.1)
Today we're releasing Laguna XS 2.1, an upgraded version of our Laguna XS.2 model.
- Poolside on Dell: an efficient path for frontier AI inside your boundary
Poolside running on Dell gives enterprises another path: frontier AI that runs inside their own boundary, closer to their data.
- Long context update: Laguna XS.2 and M.1 (Laguna XS.2 and M.1)
Now serving our Laguna XS.2 and M.1 models at 256K context lengths.
Capabilities
- Runs models for you — “As we continue to work on offering increasingly more choice to customers, we are excited to be leveraging AWS Trainium chips to power inference for our malibu and point foundation models.” source
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Pricing
- Prices checked
- 2026-09-26