The large and sudden popularity of GenAI is grabbing everyone’s attention, as organizations are trying to figure out what this means for their business – and how they can build value and revenue.
With our July 31 announcement – building on May’s Project Helix announcement – we’re now simplifying the deployment and adoption of a full-stack solution for GenAI inferencing projects. In collaboration with NVIDIA, this joint architecture delivers a modular and flexible design supporting a multitude of use cases and computational requirements.
First of All, What’s Inferencing?
Inferencing in AI refers to the process of using a trained model to generate predictions, make decisions, or produce outputs based on input data. It’s applying the learned knowledge and patterns during the model’s training phase to completely new data. During inferencing, the trained model processes input data through its computational algorithms or neural network architecture to produce an output or prediction (i.e., meaningful information or actions).
So What Does That Mean for GenAI?
Inferencing is the final stage in the lifecycle of an AI system, enabling the model to generalize its knowledge and make predictions or generate responses on new data. Basically, you’ve done the training and tuning (or using a pre-trained model), now it’s time to deploy into production and start delivering results and value.
Some interesting examples of inferencing use cases include:
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- Natural language generation. Models can be used for text generation tasks such as document writing, dialogue generation, summarization, or content creation.
- Chatbots and virtual assistants. Power conversational agents, chatbots and virtual assistants by generating natural language responses based on user queries or instructions.
- Code development. Get assistance in software development with features like code completion, ability to generate unit tests or a chat function for explain code.
Increase Productivity and Insights
Through Dell Validated Designs you can take the guess work out of deploying GenAI with a proven reference architecture made to simplify adoption. Power your inferencing efforts on Dell infrastructure, such as the Dell PowerEdge XE9680 or PowerEdge R760xa, a choice of NVIDIA® Tensor Core GPUs, with Dell software and NVIDIA AI Enterprise software platform including Triton Inference Server and the NeMo framework. Fast, ample data lake storage for Generative AI and large language models is provided by Dell PowerScale all-flash or hybrid storage arrays (download the guide here.)
With a reference architecture for Inferencing, we’re delivering a roadmap for how to cost-efficiently take advantage of the pre-trained models via NVIDIA NeMo framework – rather than building and training your own model from scratch. By taking advantage of pre-trained inferencing models, you can deliver faster and more cost-efficient results. Pre-trained models can also be further fine-tuned with smaller amounts of task-specific data, while giving access to a range of functionalities ready to use such as language translation for example.
Deliver High Performance Development Environments Locally
Part of deploying LLM inferencing at scale in your own data center is enabling your AI developers and data scientists to develop and fine-tune GenAI models locally before pushing to production. With the Dell Precision workstations and built-in AI software (Dell Optimizer) you get performance and reliability you’re used to from Dell – supported by up to four NVIDIA RTX 6000 Ada generation GPUs in a single workstation.
Unlock on Your Priorities Faster with Dell Professional Services
Additionally, we’ll help you at every stage of your journey towards LLM inferencing. With Dell Professional Services, whether you need support developing your strategy, deploying and integrating with your other systems, or scaling up to meet newer business requirements – we’ll be there every step of the way.
With powerful GenAI solutions from Dell Technologies and NVIDIA, you can now transform processes in areas like customer operations, content creation, software development and sales – while delivering the on-premises security needed to protect your proprietary company data.
Read more here and download the infographic.
To learn more about our AI workstation initiatives – visit the Dell Technologies booth at Siggraph next month.
