Written by 10:37 am AI:ML, News

Dell, Nvidia expand Project Helix with the launch of new GenAI solutions 

Generative AI

Dell Technologies announced a portfolio of new generative AI solutions expanding upon its Project Helix joint initiative with Nvidia, spanning IT infrastructure, PCs and professional services. 

With the generative AI capabilities, Dell’s portfolio (including Dell Precision workstations, Dell PowerEdge servers, Dell PowerScale scale-out storage, Dell ECS enterprise object storage and a broad set of services) provide enterprises the tools to deliver GenAI solutions from desktops to core data centers, edge locations and public clouds, said the company. 

As part of the portfolio, the company also came up with its Validated Design for Generative AI, an inferencing blueprint, jointly engineered with Nvidia. Validated Designs are tested and proven configurations, designed from the start to dynamically fit needs based on specific use cases. 

According to the company, until now, traditional inferencing approaches have been challenged to scale and support LLMs for real-time results and ensure data can be easily used by AI infrastructure. The new solution helps customers generate higher quality, faster time-to-value predictions and decisions with their own data. 

With a comprehensive verified inferencing approach, organizations can rapidly deploy GenAI projects and scale applications to transform processes in key areas, such as customer operations, content creation and management, software development and sales.

Additionally, Dell Professional Services deliver new capabilities to help customers accelerate GenAI adoption, starting with identifying high value use cases and a roadmap to achieve them. 

On the hardware front, Dell’s new Precision workstations allow AI developers and data scientists to develop and fine-tune GenAI models locally before deploying at scale. Precision workstations provide the performance and reliability – with up to four NVIDIA RTX 6000 Ada Generation GPUs in a single workstation – to run AI software frameworks 80% faster than the previous generation, said the company.

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