Get dedicated one year access to 8 x NVIDIA H100 80GB GPUs and use this cloud instance for AI/ML, Deep Learning, Large Language Models (LLM) applications. Program in Jupyter notebook or use no-code AI tools for a wide range of AI tasks:
AI Models Fine-tuning and Inferencing
Manage your interactions with popular AI & LLM models with intuitive user interfaces.
- Library of published Open-Source AI Models for tuning and inferencing available on-demand
- Easily tune Meta Llama 3, Stable Diffusion, Gemma, CodeGemma, CodeQwen, Falcon-7B, Hugging Face, Ph-3 and others.
- Deploy on NVIDIA H100, L40S, L4, A100, V100, T4 GPU systems
NVIDIA NIM Microservices Integrated
Part of NVIDIA AI Enterprise, NVIDIA NIM is a set of easy-to-use inference microservices for accelerating the deployment of foundation models on any cloud or data center and helping to keep your data secure.
- Fully Integrated NVIDIA Enterprise catalog (NIM, CUDA, Nemo, etc.)
Easily Deploy Hugging Face AI Models from Qubrid AI Platform
The Qubrid AI platform allows you to easily deploy AI models of your choice from the Hugging Face repository. Simply enter the AI model ID, select number of GPUs and deploy the model. You can then do inferencing on these models on any GPU node. Qubrid AI offers you the choice of curated open-source AI models, NVIDIA optimized NIM catalog or selection from thousands of models on Hugging Face – all deployable and manageable from the same software.
No-Code Fine-Tuning and RAG
Fine-tuning an AI model does not have to be hard. With our AI platform, you don’t have to be a programmer or data scientist to fine-tune a model. same for RAG – just upload your departmental data and hit a button to take advantage of close to real-time RAG capabilities.
- Simple no-code fine tuning and RAG but with ability for advanced coding in Jupyter notebook
- Name your fine-tune model and save as templates
- Input multiple data types such as pdf files, images etc with a push of a button
Deep Learning & Machine Learning Packages Included
No more headaches of managing AI packages. Even with factory loaded packages, it is hard to manage and update these packages manually. The AI Controller automates that for you.
- One touch deployment of complete AI/ML Deep Learning packages (PyTorch, TensorFlow, Keras, etc.)
- Automated install and update for your discovery and research needs
- Â Continuous addition of new open-source tools
AI Use Cases
You can use the Qubrid AI platform for a wide range of AI applications e.g.
- AI logo design
- AI content creation
- AI text to image creation
- AI text to code generation
- AI speech to text or text to speech
- AI 3D movie creation
- AI text to video generation
- AI object detection
- AI Documents Analysis – Use RAG capabilities for analyzing and summarizing legal documents, patent applications, engineering documents, financial documents, operations documents, e-mails etc and get actionable insights
Launching an H100 instance on Qubrid AI Cloud
What’s Included?
- Standard Features included:
- 8 x NVIDIA H100 80GB GPU
- Up to 2TB ECC Reg Memory
- Flexible storage options
- Pre-installed OS and AI packages
- Jupyter Notebook for programming
- 8 x NVIDIA H100 80GB GPU
