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Large language models (LLMs) are revolutionizing AI development, but deploying and managing them can be complex. Enter Lamini, a powerful platform designed to simplify the process for businesses of all sizes. Trusted by leading AI companies and data providers, Lamini offers full-stack production LLM pods that incorporate best practices in AI and high-performance computing (HPC). This means developers can efficiently build, deploy, and improve their own custom LLMs with complete control over data privacy and security. Whether deploying models on-premise, in a VPC, or leveraging AMD's powerful GPUs, Lamini offers seamless scalability and cost-effectiveness. With self-serve support and enterprise-class features like the Lamini Auditor for explainability and auditing, Lamini empowers teams to harness the potential of LLMs for diverse use cases, making superintelligence accessible to all.
Pricing
Pricing:
Pricing Plans:
Lamini offers a tiered pricing structure based on usage and deployment needs. Users can choose from "on-demand" pay-as-you-go options starting at $0.50 per million tokens for inference and $1 per tuning step, with the possibility of scaling using multiple GPUs. They also offer "reserved" and "custom" plans with dedicated GPU access, unlimited tuning and inference, and enterprise support. Startups get a special deal with $300 in free credit to start.Here's a breakdown:On-Demand: $0.50/million tokens for inference (input, output, JSON) $1/tuning step Linear multiplier for burst tuning across GPUs Reserved: Unlimited tuning and inference Unmatched inference throughput Full evaluation suiteCustom: Run Lamini on your own GPUs with no internet access Pay-per-software license Full evaluation suiteStartups: $300 in free credit Partner with Lamini experts for application building Access to reserved GPUs
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