About NLP Cloud

NLP Cloud is a state-of-the-art artificial intelligence platform designed to provide users with access to cutting-edge AI engines. The platform emphasizes data privacy, ensuring that businesses can utilize AI without compromising confidentiality. NLP Cloud offers a range of AI engines, from specific ones to advanced generative models, all aimed at seamless integration into applications at a cost-effective rate.

Features of NLP Cloud

  1. High Performance: NLP Cloud boasts fast and accurate AI models that are optimized for production. The platform leverages advanced hardware to provide a highly available inference API.
  2. Data Privacy and Security: The platform is compliant with HIPAA, GDPR, and CCPA standards. It prioritizes user data privacy, ensuring that the data is neither stored nor used for training their AI models.
  3. On-Premise Deployment: For those with critical security and privacy needs, NLP Cloud allows the deployment of models in-house on isolated servers.
  4. Multilingual AI: NLP Cloud supports AI models in over 200 languages, thanks to its multilingual models and addons.
  5. Simplicity: Users don’t have to worry about DevOps or API programming. The platform allows users to focus solely on text processing, ensuring quick project delivery.
  6. Custom Models: Users can fine-tune their models or upload custom models for easy deployment to production.
  7. Collaboration with NVIDIA: NLP Cloud collaborates with NVIDIA to ensure top-notch performance. Their generative AI engines are deployed on advanced NVIDIA GPUs for low latency and cost-effectiveness.

Additional Features

  • Built for Developers: NLP Cloud offers a robust and straightforward API. It manages scalability and high availability seamlessly.
  • Support: The platform provides extensive support, including client libraries on Github and a dedicated support team for guidance on using generative AI and large language models.
  • Custom Model Training: Users can upload, train, or fine-tune their AI models with their data. This feature allows for immediate deployment to production without concerns about deployment specifics like RAM usage or scalability.