TL;DR:
- Qubrid introduces early access to its hybrid GPU-QPU cloud platform, designed for solving real-world problems.
- The Qubrid Cloud Platform (QCP) offers easy access to GPUs and QPUs through a user-friendly web interface.
- Developers, researchers, and scientists can now work on AI/ML and Quantum Computing projects with features like GPU and QPU programming, Jupyter Notebook access, and pre-loaded AI packages.
- QCP benefits include cost-efficiency, scalability, zero maintenance, and bridging the gap while awaiting on-premise hardware.
- High-capacity GPUs are available on-demand, and customers can reserve top-tier GPUs on a subscription basis.
- Pricing details for on-demand GPUs and QPUs can be found after logging in.
Main AI News:
Qubrid, a prominent player in the GPU Cloud and Quantum Computing arena, is proud to announce the immediate availability of its groundbreaking hybrid GPU-QPU cloud computing platform. With a focus on tackling intricate real-world challenges, the Qubrid Cloud Platform (QCP) simplifies access to GPUs and QPUs, offering an easily navigable web interface for programming and utilization.
This innovative platform is now open for developers, researchers, and scientists to embark on their AI/ML and Quantum Computing endeavors. With Qubrid, you gain the power to:
- Execute AI/ML Programs on GPU
- Simulate Quantum Computing programs on GPU
- Run Quantum Computing programs on QPU
- Secure ‘hard to obtain’ GPU instances
- Instantly access the Jupyter Notebook programming environment
- Code in Python or Qiskit
- Leverage pre-loaded AI packages, including Pytorch, TensorFlow, Keras, and more.
Why Choose Qubrid GPU Cloud Platform?
There are compelling reasons why QCP could be the ideal choice for you:
- Cost-Efficiency: If budget constraints prevent you from investing in fully-assembled on-premise GPU systems, QCP allows you to access the power of GPUs at a fraction of the cost.
- Scalability: From a single GPU per node to deploying thousands of GPUs within a cluster, scalability is no longer a concern, eliminating the need for costly hardware purchases.
- Hassle-Free Maintenance: QCP takes care of hardware setup, OS installation, and AI package configurations, allowing you to concentrate solely on advancing your AI/ML/LLM applications.
- Bridge the Gap: If you have ordered long lead-time GPU systems, utilize Qubrid’s cloud-based GPUs to bridge the gap while awaiting the arrival of your on-premise hardware.
The Qubrid platform offers high-capacity GPUs on-demand, and for top-tier GPUs, customers can reserve instances on a monthly, six-monthly, or annual subscription basis.
Pricing for on-demand GPUs and QPUs is available post-login.
Pranay Prakash, CEO of Qubrid, stated, “Our vision of expediting AI progress and democratizing access to GPU and Quantum Computing resources is now a reality, accessible to all. We extend a warm invitation to developers from startups, universities, as well as commercial and government entities to harness our platform. Whether you are delving into Deep Learning applications, LLM, Generative AI, or addressing logistics optimization problems using Quantum Computing, Qubrid equips you with the essential tools and a user-friendly platform to meet your application’s demands.”
Conclusion:
Qubrid’s GPU Cloud and Quantum Computing Platform democratizes access to cutting-edge computing resources, providing a cost-effective and scalable solution for developers and researchers. This development signifies a significant advancement in the market, enabling more businesses and institutions to harness the power of GPUs and quantum computing for various applications.
