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Technology is rapidly evolving, and having tools capable of handling complex AI workloads can mean the difference between falling behind and staying ahead. Let’s see how legacy and next-generation devices match up in four key areas of modern work.
What is a legacy device?
A legacy device is a piece of technology that is outdated or no longer in production and has since been replaced by newer, more advanced technology. While it may still be functional, it lacks the advanced capabilities of more modern devices.
You may hear about two categories of legacy devices: AI-capable and AI-ready.
AI-capable devices have been around for nearly a decade and produce up to 10 trillions or Tera Operations Per Second (TOPS) with AI accelerators on the CPU and GPU.
AI-ready devices incorporate the first generation of AI processing and can produce up to 30 TOPS.
Next-generation
Next-generation (or next-gen) devices incorporate the latest in tech and design — with cutting-edge features such as AI, Machine Learning (ML) and advanced sensors to provide a more seamless, personalized experience.
These devices integrate advanced technology and components (including a dedicated, next-gen NPU) and offer combined processing speeds exceeding 40 TOPS.
Processing power
The task: You want to run the latest generative-AI applications (like video/text generators and AI assistants) seamlessly and with optimal user experience.
- Legacy devices may struggle to process AI workloads, leading to slower performance and lower accuracy.
- Next-gen devices can handle complex ML algorithms and deep learning models, running these tasks efficiently and effectively.
Data collection & analysis
The task: You need your devices to make accurate predictions and recommendations based on real-time data.
- With limited storage, collection and analysis capabilities, legacy devices may struggle to gather and analyze large amounts of data.
- Next-gen devices have more sophisticated sensors and data collection capabilities, allowing for seamless, real-time functionality.
Personalization
The task: Your employees are eager to incorporate the latest AI personalization features, like email clients that organize inboxes based on employee behavior.
- Legacy devices may lack personalization capabilities and opt for a one-size-fits-all approach, not personalized to your individual teammates.
- Next-gen devices can efficiently run AI tasks and implement ML algorithms to personalize recommendations and actions for each employee.
73% of employees believe AI-powered devices will increase their productivity.
75% believe AI-powered devices will help their employer stay competitive.
Curious how different generations feel about adding AI-powered devices to their daily workflows? Check out our latest Insight Intelligent Technology™ Report for more.
Adaptability
The task: New and improved AI apps and opportunities are emerging each day, and you want to stay on top of the innovation — and ahead of your competition.
- Legacy devices may have fixed programming that can’t be updated or changed, which limits their ability to incorporate new data, applications or workloads.
- Next-gen devices can adapt and learn from new data and experiences, allowing them to continuously improve their performance over time.
When it comes to innovation, the choice is clear.
At the end of the day, legacy devices frequently contribute to inefficiency, dissatisfaction, and increased cost and risk. But in an ever-changing device landscape, keeping your workforce equipped with powerful,
secure, up-to-date devices is no small feat.
Insight is here to help. From selection, procurement and deployment to complete lifecycle maintenance, we’ll be there every step of the way.
Empower your team with next-generation devices. Talk with an Insight expert to get started.
