Companies are adopting a more human-centric methodology when implementing Generative AI models, pushing the envelope of innovation and efficiency. These models find utility across various applications like chatbots, code development, and virtual assistants. However, public cloud solutions, though convenient, often come with strings attached. These include the security risks surrounding data sovereignty, unpredictable costs, and compliance headaches.
Companies are adopting a more human-centric methodology when implementing Generative AI models, pushing the envelope of innovation and efficiency. These models find utility across various applications like chatbots, code development, and virtual assistants. However, public cloud solutions, though convenient, often come with strings attached. These include the security risks surrounding data sovereignty, unpredictable costs, and compliance headaches.
Opting for on-premises solutions with open-source large language models (LLMs), specifically Llama 2, offers a more predictable and secure alternative. This model offers a sustainable cost structure over time and tighter control over sensitive data. In the bigger picture, this dramatically reduces risks related to data security breaches and intellectual property leakage, aligning better with compliance and regulations.
Dell Validated Design GenAI Solutions
Dell Technologies has created a turnkey solution with its Generative AI Solutions to streamline this transition, underscored by the Dell Validated Design. This integrated package provides pre-tested hardware and software and a strong foundation explicitly built for Generative AI projects. The collaboration with Meta expands this ecosystem, allowing companies to easily integrate Meta’s Llama 2 AI models into Dell’s existing infrastructure.
The hardware that powers these models is no slouch, either. For instance, the Dell PowerEdge XE9680 server (Jordan’s favorite) is outfitted with eight NVIDIA H100 GPUs, making it an ideal workhorse for fine-tuning and deploying large language models like Llama 2. By offering a pre-validated, on-premises solution, Dell allows enterprises to function without interruptions and ensures greater intellectual property protection.
Opening New Avenues For Customization
Dell’s investment in research, particularly in model customization techniques like supervised fine-tuning, LoRA, and p-tuning, has opened new avenues for enterprise-level customization. They have proven the efficacy of these techniques across a range of Llama 2 models, from 7B to 70B, allowing businesses the flexibility to tailor these powerful AI tools to their specific needs.
In essence, Dell’s collaboration with Meta’s Llama 2 adds to the new, yet rich landscape of options for organizations of varying sizes. This integrated approach allows for a seamless implementation of Generative AI solutions across multiple deployment areas, be it desktops, core data centers, or edge locations, and even extends to public cloud infrastructures. Thus, companies have a comprehensive yet flexible toolkit to leverage as they venture further into Generative AI.
Dell and Meta Collaborate to Drive Generative AI Innovation
Deploying Llama 2 on Dell PowerEdge XE9680 Server
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