FieldDetails
NameLamini
OverviewLamini is an advanced AI platform that provides full-stack production LLM (Large Language Model) pods, specifically designed for scaling and deploying AI compute within startup programs. The tool is embraced by AI-first organizations and collaborates with top-tier data companies. Lamini integrates industry best practices from AI and High-Performance Computing (HPC) to facilitate efficient building, deployment, and enhancement of LLM models. Users enjoy complete authority over data privacy and security, allowing for the deployment of custom models either on-premises or in Virtual Private Cloud (VPC) environments. The portability of models across different settings is seamless. Lamini also delivers self-service and enterprise-class support, enabling engineering teams to effectively train LLMs adaptable for a wide range of applications. The platform achieves seamless compute integration with AMD, providing substantial performance and cost benefits. With straightforward pricing structures and advanced features tailored for large models and enterprise clients, Lamini’s tools, including the Lamini Auditor, offer observability and explainability, providing developers specialized in LLM use cases the access to build advanced superintelligent systems.
Key features & benefits
  • Comprehensive full-stack LLM production pods.
  • Integration of best practices in AI and HPC to streamline processes.
  • Full authority over data privacy and security measures.
  • Seamless integration of compute resources with AMD technologies.
  • Comprehensive observability and auditing with the Lamini Auditor.
Use cases and applications
  • Utilization of Lamini’s production LLM pods to enable startups to scale and leverage advanced AI technology without needing extensive resources.
  • Deployment of custom LLM models on-premises or within VPCs while ensuring compliance with data privacy regulations.
  • Leverage the performance advantages and cost-effectiveness provided through Lamini’s integration with AMD for engineering teams working on large models.
Who uses?
  • CTOs
  • Developers
  • Data Scientists
  • Enterprise Users
PricingOffers simple pricing tiers with options for larger enterprise clients; free version availability is not specified.
TagsAI, LLM, High-Performance Computing, Data Privacy, AI Development
App available?No

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