AI Hub

Enterprises’ One-Stop Shop for Building Cutting-Edge AI Products

Stop wasting time piecing together fragmented tools. AI Hub is the all-in-one platform designed to supercharge your enterprise AI development, from ideation to deployment. 

AI Model Studio

# pip install bits and bytes accelerate 
from diffusers import StableDiffusionXLPipeline, StableDiffusionXLImg2 ImgPipeline import torch
pipeline = StableDiffusionXLPipeline.from_pretrained ( "stable-diffusion-xl-base-1.0", torch_dtype=torch.float16, variant="fp16", use_safetensors=True) .to ("cuda") 
refiner = StableDiffusionXLImg2ImgPipeline.from_pretrained("stable-   diffusion-xl-refiner-1.0", torch_dtype=torch.float16, use_safetensors= True, variant="fp16") .to ("cuda") 
input_text = "a photo of an astronaut riding a horse on mars"
  • Choose from a diverse range of on-demand compute instances for general development
  • Optimized inference GPUs for lightning-fast model deployment
  • Cutting-edge NVIDIA, AMD and Intel GPUs specifically designed for training and tuning large language models
  • Cutting-edge access to quantum simulations across various GPUs, supporting up to 1000 qubits for those exploring the future of computing
  • On-demand access to real quantum computing resources (first-come, first-served)

On-Demand or Reserve Cloud Instances

Focus on innovation, not infrastructure costs. Pay only for the resources you use, scaling up or down as your projects evolve.

  • Deploy AI applications or simulate Quantum programs on GPUs 
  • Reserve access to ‘hard to get’ GPUs such as NVIDIA GH200, H200, H100, A100 etc
  • On-demand access to GPUs such as NVIDIA Tesla T4, V100 etc
  • Scale from single GPU to thousands of GPUs for Generative AI and LLM applications
  • Free basic compute (CPU) for AI/ML or Quantum simulation 
  • Flexible plans – from hourly to monthly to annual plans

“The Qubrid Platform has shown outstanding performance and reliability in various computational tasks. In higher dimensional matrix multiplication, it displayed a smooth increase in execution time while consistently producing accurate results, demonstrating its efficiency in handling complex mathematical operations. Similarly, in evaluating large linear regression models, the platform proved its ability to deliver stable and reliable performance, a critical factor for predictive analytics and data modeling. Overall, the Qubrid Platform stands out in its ability to manage diverse computational tasks with stability, accuracy, and scalability.”

AI Researcher, Rochester University

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