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GigaML

Enterprise platform enabling secure, high-performance deployment and fine-tuning of large language models on-premise with optimized inference speed and cost efficiency.

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Product Overview

What is GigaML?

GigaML is a cutting-edge platform designed to help enterprises deploy and customize large language models (LLMs) securely on their own infrastructure. It offers advanced fine-tuning capabilities for open-source models like Llama 2, extending context lengths up to 32k tokens. GigaML’s proprietary inference optimization delivers output speeds up to three times faster than GPT-4 API while reducing costs by 70%. The platform supports seamless integration with existing APIs and enforces strict data privacy by enabling on-premise deployment, making it ideal for sensitive industries such as healthcare, finance, and legal. GigaML also provides flexible customization options to tailor models for specific business needs, improving internal knowledge search, customer support, and code generation workflows.


Key Features

  • Secure On-Premise Deployment

    Run large language models entirely within your own infrastructure to ensure data privacy and compliance with industry standards.

  • Advanced Fine-Tuning

    Customize base models like Llama 2 with domain-specific data and output structures for highly relevant and accurate responses.

  • High-Speed Inference

    Optimized algorithms deliver response times 300% faster than GPT-4 API, enhancing user experience and operational efficiency.

  • Cost Efficiency

    Reduce AI deployment costs by up to 70% compared to GPT-4 API usage through optimized model performance and infrastructure.

  • Extended Context Length

    Support for context windows up to 32k tokens, enabling complex and large-scale document processing.

  • OpenAI API Compatibility

    Seamless integration with existing OpenAI API-based applications without code rewrites.


Use Cases

  • Customer Support Automation : Deploy conversational AI agents that handle inquiries efficiently, reduce hold times, and scale with demand.
  • Internal Knowledge Management : Enhance enterprise search and document interaction with fine-tuned models tailored to company-specific data.
  • Code Generation and Engineering Productivity : Boost software development teams with AI-assisted code generation and review capabilities.
  • Healthcare, Legal, and Financial Applications : Ensure compliance and data security while leveraging AI for sensitive industry-specific workflows.
  • Custom AI Model Development : Fine-tune and deploy models customized for unique business requirements and output formats.

FAQs

Analytics of GigaML Website

GigaML Traffic & Rankings
35.07K
Monthly Visits
00:00:57
Avg. Visit Duration
5243
Category Rank
0.44%
User Bounce Rate
Traffic Trends: Aug 2025 - Oct 2025
Top Regions of GigaML
  1. 🇺🇸 US: 65.97%

  2. 🇮🇳 IN: 19.07%

  3. 🇨🇦 CA: 2.23%

  4. 🇩🇪 DE: 1.85%

  5. 🇦🇺 AU: 1.8%

  6. Others: 9.08%