TL;DR:
- Aarna Networks and Predera partner to provide a fully managed large language model (LLM) offering.
- Generative AI, powered by machine learning, is transforming the economy and society.
- Enterprises face challenges in building on-prem GenAI stacks or using the public cloud due to privacy and data security concerns.
- The collaboration offers a secure and private environment for enterprises to deploy and fine-tune LLMs with ease.
- Key benefits include full control, zero data leakage risk, and cost savings over traditional services.
- Aarna’s Multi Cluster Orchestration Platform (AMCOP) and Predera’s AIQ MLOps Platform form the foundation of the solution.
- This collaboration enhances the adoption of generative AI and unlocks new opportunities for businesses globally.
Main AI News:
In the fast-evolving landscape of artificial intelligence, generative AI powered by machine learning has become a game-changer for businesses across various sectors. Recognizing the immense potential of AI models to analyze proprietary data and extract valuable insights, enterprises are now keen to embrace this technology. However, building and deploying a GenAI stack presents its challenges, with concerns about privacy and intellectual property rights when using public cloud solutions.
To tackle these obstacles head-on and empower enterprises to accelerate their GenAI initiatives, Aarna Networks and Predera have entered into a strategic collaboration. Their aim is to introduce a fully managed large language model (LLM) offering, providing businesses with a secure and private environment for their generative AI needs. Leveraging the power of Aarna Networks Multi Cluster Orchestration Platform (AMCOP) and the Predera AIQ MLOps Platform, this joint endeavor offers a wide selection of LLMs, including Llama, Dolly, and NeMo, alongside a comprehensive management dashboard, professional services, and operational support.
Key benefits of this innovative collaboration include a seamless, zero-touch, fully managed environment, granting enterprises complete control and the ability to fine-tune their models. Additionally, the private nature of the setup ensures a 0% chance of data leakage, while also enabling secure access to sensitive information through a private connection. Moreover, adopting this managed LLM approach can lead to significant cost savings compared to other commercially managed services or systems integrators.
Amar Kapadia, the co-founder and CEO of Aarna Networks, expressed his excitement about the partnership with Predera, stating, “Data scientists and AI/ML architects globally are looking to deploy and fine-tune LLMs to generate value for their enterprises and leapfrog their competition. We’re excited to partner with Predera to offer an affordable, yet robust environment for enterprises to get started in just a few hours with generative AI while maintaining control and privacy and enjoying ease-of-use.”
Vamshi Ambati, CEO of Predera, lauded the potential of generative AI, calling it the most significant innovation he has witnessed in the AI domain in the past two decades. He emphasized that any company not leveraging this technology to its fullest potential is missing out on substantial opportunities. With their AIQ LLMOps engine, Predera aims to equip enterprises with the latest toolstack required to maximize the potential of generative AI, and they are eager to bring this cutting-edge solution to Aarna’s ecosystem.
Conclusion:
The collaboration between Aarna Networks and Predera to provide a managed generative AI solution in a private LLM environment signifies a major step forward for the market. This joint offering addresses critical challenges faced by enterprises in deploying AI models, offering a secure, cost-effective, and efficient way to harness the power of generative AI. With fully managed LLMs and complete control over models, businesses can unlock valuable insights, propel their competitive advantage, and drive innovation in the AI landscape. This development is poised to drive the widespread adoption of generative AI and fuel further advancements in the business AI domain.
