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Optimize costs and performance
Fine tune an existing open source or commercial large language model (LLM) using your company’s proprietary data, to fit your use case exactly. Orchestrate your workload, use resources efficiently and auto-scale as needed.
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Safeguard Proprietary Data
Leverage your proprietary business data in a secure environment to prevent sensitive information from leaking, address compliance concerns and minimize risk.
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Maximize GPU Efficiency
Get the most out of your existing AI investments with GPUaaS: share GPUs, run multiple jobs on one GPU and automatically scale up as the workload demands.
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Future-proof your Architecture
The GenAI landscape is constantly shifting. Use an open, flexible architecture that can adapt to evolving requirements / tooling and keep pace with the rapid innovation in the field.
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Acceleration in time to market
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Lower operating costs
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More efficient use of GPUs
Build your first GenAI app
Operationalize and scale your GenAI initiatives
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Run GenAI anywhere: Multi-cloud, on-prem or Hybrid
Example GenAI use cases include:
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Virtual Subject Matter Expert
Fine-tune an LLM with domain knowledge to create an app that can support marketing, customer service, support channels and more
Call Center Analysis
Analyze customer calls at scale to extract qualitative data like topic, sentiment, whether customer issues were resolved, and remove sensitive personal data.
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Customer Service Chatbot
Deploy intelligent chatbots as virtual agents that can understand complex requests, route them to the correct applications, monitor for quality and save its state for the next inquiry.
Iguazio Has Been Recognized By
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