Generative AI (genAI) has unlocked new enterprise capabilities for organizations, be it delivering personalized customer experiences or enabling task automation. Driven by large language models (LLMs), genAI needs to ingest vast amounts of data and provide quick and accurate responses in split-second timings.
But the effectiveness of genAI doesn’t only depend on the quality and quantity of its supporting data; ensuring genAI tools perform their best also requires sufficient storage and powerful compute. Just as having full control over how data is managed is necessary and preferred for many organizations, data platforms such as Network Attached Storage (NAS) can provide the high level of security and wide range of functionalities organizations need.
But as genAI takes the lead in propelling organizations ahead, traditional data platforms are no longer sufficient. Businesses must relook their capabilities to manage the load required to compete in this new AI-driven landscape.
Boosting AI innovation with an AI-ready data platform
An AI-ready NAS is critical to bring out the true value of genAI. Here are three reasons why:
1. Drive efficiencies in AI model training
GenAI is all about efficiency. Having a platform that uses a single point of data access and the highest performance is critical to efficient training and fine-tuning of AI models, which, in turn, drives efficiency through rich and accurate outputs. The right platform should enable this regardless of location: on-premises, at the edge, or in any cloud.
2. Secure AI data and algorithms
As threat actors grow more sophisticated and malicious in their attacks, so do the risks a business faces. More is now at stake—from data to proprietary algorithms—which is why the right data platform needs to be able to protect, detect, and respond to threat actors at all fronts. This means real-time security at both the hardware and software levels.
3. Maximize performance through smart scale-out capabilities
An AI-driven environment should never be limited by storage. When businesses rely on an AI-ready data platform, they gain scale-out capabilities to cope with their expanding storage needs. This flexibility to scale further enables better AI model training and inferencing to unleash the full AI potential.
Bringing out the best genAI capabilities
Dell PowerScale is an example of a flexible and secure scale-out data platform that helps businesses accelerate their AI workflows. More than a storage solution, Dell PowerScale is an AI-ready data platform that brings performance at scale, multi-cloud agility, and the highest levels of security. It is the world’s first Ethernet-validated storage solution, made to work with NVIDIA DGX SuperPOD, a turnkey AI data center infrastructure for accelerated and scalable performance.
In the world of technology, partnerships and collaboration drive innovation. By combining the expertise of Dell Technologies and NVIDIA, enterprises get the best of both worlds to confidently accelerate model training and innovate to build new solutions.
Optimized for AI, Dell PowerScale is a modern, energy-efficient storage that powers performance-intensive use cases. The scalable storage platform means organizations can establish a single point-of-data access using a common data lake across on-premises, cloud, and edge environments. It also has built-in, AI-driven threat detection, so that users get alerted anytime an anomaly is detected.
Implementing genAI into workflows will significantly enhance efficiency and productivity, as well as improve the user experience for stakeholders across the business. However, getting there requires more than subscribing to the latest genAI tools in the market. Before introducing new genAI capabilities to the infrastructure, prepare your organization with AI-ready data platform so that your AI and machine learning workloads can take off quickly and seamlessly without roadblocks.
To discover more about Dell PowerScale and what it can do for your organization, read:
