- TeamViewer Cyber-Attack Attributed to Russian APT Midnight Blizzard
- ReadMeAI: An AI-powered README Generator for Developers | Docker
- Stopping Supply Chain Attacks with Cisco's User Protection Suite
- Hacienda se arma con IA para luchar contra el fraude
- Google Thwarts Over 10,000 Attempts by Chinese Influence Operator
Sluggish genAI? Take a look at your NAS
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 adequate storage and compute space. Just as having full control over how data is managed is necessary and preferred for many organizations, network attached storage (NAS) can provide the high level of security and wide range of functionalities that organizations want. At the same time, NAS servers are highly efficient, simple to scale, and easy to manage.
But as genAI takes the lead in propelling organizations ahead, traditional NAS servers are no longer sufficient. Businesses must relook their NAS capabilities to ensure they can manage the load required to compete in this new AI-driven landscape.
Boosting AI innovation with an AI-ready NAS
An AI-ready NAS is critical to bring out the true value of genAI. Here are three reasons why:
- Flexibility and security
As the world changes, so do enterprise needs. An AI-ready NAS is flexible so organizations can continuously refine their genAI models as they unlock new insights. An AI-ready NAS often comes with robust security features so businesses can innovate and grow knowing that their data is protected at all times.
2. High-speed Ethernet technology for accelerated data access
GenAI is all about efficiency. Having a platform that keeps data transfer times to a minimum will lead to faster storage throughput for AI training, checkpointing, and inferencing. The right AI-ready NAS will ensure latency is minimized for the best AI workload performance.
3. Smart scale-out capabilities to maximize performance
In an AI-driven environment, organizations should never be limited by storage. When businesses rely on an AI-ready NAS, they gain scale-out capabilities to cope with their expanding storage needs and ensure the best performance. The flexibility to scale as needed also helps with AI model training and inferencing.
Bringing out the best genAI capabilities
Dell Powerscale is an example of a flexible and secure scale-out NAS 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.
In the world of technology, partnerships and collaboration drive innovation. By combining the expertise of Dell and NVIDIA, enterprises get the best of both worlds to confidently accelerate model training and innovate to build new solutions.
Optimized for AI, 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 NAS 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:
