Innovation and Technology
Kioxia and Pliops Unveil Next-Gen Storage Innovations at NVIDIA GTC 2025

As artificial intelligence (AI) continues to evolve, data centers require increasingly sophisticated storage solutions to balance performance, cost, and efficiency. High-speed solid-state drives (SSDs) play a crucial role in AI workloads by enabling rapid data access, particularly for training and inference tasks that rely on GPUs.
At NVIDIA GTC 2025, Kioxia and Pliops have announced groundbreaking storage solutions aimed at optimizing AI performance, enhancing storage density, and reducing reliance on traditional HDDs.
Kioxia’s Next-Generation QLC SSDs
In recent months, major SSD manufacturers have been introducing high-capacity quad-level cell (QLC) SSDs, positioning them as a viable alternative to traditional HDDs for secondary storage. Kioxia has now entered the arena with its latest high-density SSD innovation.
Kioxia LC9 Series NVMe SSD: High-Capacity Storage for AI
Kioxia has unveiled the LC9 Series NVMe SSD, an impressive 122.88TB storage solution tailored for AI applications. This SSD features a 2.5-inch form factor and leverages Kioxia’s 8th-generation 3D QLC NAND technology, built using CMOS Directly Bonded to Array (CBA) to maximize density.
Key specifications include:
- PCIe 5.0 interface for ultra-fast data transfer
- Dual-port capability for enhanced fault tolerance and multi-system connectivity
- Up to 128 gigatransfers per second, ensuring seamless AI model training and inference
AI-Optimized SSDs for Large Language Models
Kioxia emphasizes that high-capacity SSDs are essential for AI workloads, particularly for:
- Large language model (LLM) training
- Storing and retrieving extensive datasets
- Enhancing inference performance and fine-tuning models
Additionally, this SSD is optimized for use with Kioxia’s newly introduced AiSAQ technology, which enhances Retrieval Augmented Generation (RAG) performance. By storing vector database elements directly on SSDs instead of costly DRAM, AiSAQ reduces memory expenses while maintaining high-speed retrieval.
Pliops’ Strategic Collaboration with LMCache Lab
Pliops, a leader in solid-state storage and acceleration technologies, has announced a strategic partnership with the vLLM Production Stack developed at the LMCache Lab at the University of Chicago. This collaboration aims to dramatically enhance LLM inference performance by optimizing shared storage and cache offloading.
Key Highlights of the Collaboration
- Pliops provides disaggregated smart storage to enhance vLLM execution.
- The combined solution enables efficient offloading of vLLM cache, ensuring scalability and fault tolerance.
- It introduces a petabyte-tier memory layer beneath HBM memory, improving GPU compute efficiency for AI applications.
- Computed key-value (KV) caches are retained and retrieved efficiently, significantly speeding up LLM inference.
Conclusion
As AI adoption accelerates, data centers require robust storage and memory solutions to support the growing demands of model training and inference. Kioxia’s high-capacity PCIe 5.0 SSD and Pliops’ innovative storage acceleration represent key advancements in AI infrastructure. These technologies will be showcased at NVIDIA GTC 2025, highlighting how next-gen storage is shaping the future of AI.
FAQs
What is the capacity of Kioxia’s LC9 Series NVMe SSD?
- 122.88TB
What interface does Kioxia’s LC9 Series NVMe SSD use?
- PCIe 5.0
What is the purpose of Pliops’ collaboration with LMCache Lab?
- To enhance LLM inference performance by optimizing shared storage and cache efficiency.
What is the capacity of the petabyte-tier memory introduced by Pliops and LMCache Lab?
- Petabyte-scale memory for GPU compute applications.
Innovation and Technology
5 Mistakes Companies Will Make This Year With Cybersecurity

Ignoring The Role Of AI In Cybersecurity
Artificial intelligence is changing the game when it comes to cyber-attacks and cyber defense. Increasingly, criminals are able to use commonly available tools to launch sophisticated phishing scams, going as far as digitally replicating faces and voices in order to trick security systems. They can also use AI-powered networking attacks that adapt in real-time to evade security systems.
Fortunately, businesses can use AI themselves, too, to counter AI attacks. AI-based monitoring, detection of anomalous network activity, and automated defense systems should be included in every business’s cybersecurity tool kit. And security strategies and playbooks should be frequently updated in response to newly emerging threats.
Not Having An Incident Response Plan In Place
When a cyberattack hits a company that has no clear response plan in place, the result is inevitably chaos. For many years, businesses have neglected to do this and may well have gotten away with it, as the chances of being targeted by attackers were slim. Today, that’s a luxury we can’t afford, as attacks become more frequent, sophisticated and costly.
Ransom payments, legal fees, fines for data breaches and reputational harm can bring a business down. But these risks can all be mitigated with a response plan, so when disaster strikes, everyone at least knows how to minimize the damage and get the show back on the road.
An Underprepared Workforce
With the proliferation of social networking attacks, unaware and undertrained employees are often the weakest link in the chain. So it’s no surprise that they are frequent targets. AI-powered phishing attacks and deepfakes are all very new threats, so we can’t expect that everyone is going to be wise to them unless they’re trained.
Continuous, ongoing implementation of cybersecurity training is essential, not just for staff with direct access to critical backend systems but for anyone who might be vulnerable to unwittingly providing backdoor access. Employers can conduct simulated phishing tests to measure the level of awareness across a workforce and provide workshops where staff are updated on new threats as they emerge.
Underestimating Insider Threats
It’s often easy for businesses to focus on preventing outsiders from getting access to their systems, overlooking the fact that 60 percent of data breaches are caused by insider threats. This can be both deliberate or accidental, with both disgruntled and negligent employees posing their own set of threats.
Commonly, this is caused by a lack of internal security controls, which creates opportunities for those looking to profit from sabotage or data theft. Insiders are often undetected by systems designed to spot threats from outside, and they are capable of evading internal checks. Rigorous access controls, as well as monitoring to understand who is accessing data and what they are doing with it, is part of the solution. Another is raising awareness of steps everyone should take to ensure they don’t accidentally become a threat.
Failing To Instill A Company-Wide Culture Of Cyber Preparedness
For many years, cybersecurity has been seen as the responsibility of IT teams. The reality is that everyone in an organization today has a crucial part to play in protecting it from attack.
Instilling a cyber-prepared culture involves integrating cybersecurity into every aspect of daily operations. This means that security best practices should be actively promoted by leaders and should be a critical part of employee onboarding and ongoing certification. Channels should be in place for reporting suspicious activity without fear of reprimand or overstepping boundaries. The key is to communicate the message that cybersecurity is a shared responsibility and not something that should be left to IT or technical staff to sort out.
Mitigating Cyber Business Risks In 2025 And Beyond
Being aware of these pitfalls and understanding the basic steps businesses should take to avoid them is the first step to building resilience to cyber threats. Make no mistake, as business and society as a whole become increasingly digitized and connected, the risks posed by hackers, phishers, and scammers, not forgetting good old-fashioned ignorance, are only going to grow.
Adopting cybersecurity-first best practices, training staff to be aware of the risks, and putting a resilient incident response plan in place should be top priorities for every business today.
Conclusion
It is clear that cybersecurity is a pressing concern for businesses today. To mitigate these risks, it is essential to be aware of the common pitfalls and take proactive steps to avoid them. By adopting AI-based monitoring, having an incident response plan in place, training employees, and instilling a company-wide culture of cyber preparedness, businesses can protect themselves from the ever-evolving threat of cyber attacks.
Frequently Asked Questions
- What is the most significant threat to businesses today?
The most significant threat to businesses today is the use of AI-powered attacks, which can evade security systems and cause significant damage. - How can businesses mitigate the risk of insider threats?
Businesses can mitigate the risk of insider threats by implementing rigorous access controls, monitoring data access, and raising awareness among employees about the importance of cybersecurity. - What is the best way to train employees on cybersecurity?
The best way to train employees on cybersecurity is through continuous, ongoing implementation of cybersecurity training, including simulated phishing tests and workshops on new threats.
Innovation and Technology
The Evolution of the Workday: How AI-Driven Scheduling is Revolutionizing the 9-to-5

Innovations in workforce productivity have been transforming the way we approach our daily routines, and the traditional 9-to-5 schedule is no exception. With the rise of artificial intelligence (AI) and automation, the concept of a fixed workday is being reimagined. In this article, we’ll explore the evolution of the workday and how AI-driven scheduling is revolutionizing the way we approach our daily commutes, work schedules, and personal lives.
The Traditional 9-to-5 Schedule: A Thing of the Past?
The traditional 9-to-5 schedule, once the norm, is being challenged by the increasing demands of modern life. With the rise of the gig economy, remote work, and flexible schedules, the notion of a fixed workday is becoming less relevant. The traditional 9-to-5 schedule, which was once seen as the epitome of professionalism and stability, is now being reevaluated in favor of more flexible and personalized arrangements.
The Rise of AI-Driven Scheduling
AI-driven scheduling, also known as dynamic scheduling, is a new approach to managing work schedules. This method uses machine learning algorithms to analyze employee preferences, work styles, and organizational needs to create personalized schedules. AI-driven scheduling allows for greater flexibility, increased productivity, and improved work-life balance.
The Benefits of AI-Driven Scheduling
So, what are the benefits of AI-driven scheduling? Here are a few key advantages:
1. Increased Flexibility
AI-driven scheduling allows employees to choose their own schedules, giving them greater control over their work-life balance. This flexibility also enables organizations to attract and retain top talent, as employees value the ability to work on their own terms.
2. Improved Productivity
AI-driven scheduling can optimize work schedules to ensure that employees are working during their most productive hours. This approach can lead to increased efficiency, reduced turnover, and improved overall performance.
3. Better Work-Life Balance
AI-driven scheduling can help employees balance their work and personal responsibilities, leading to improved job satisfaction and reduced stress. This, in turn, can lead to increased employee retention and reduced turnover.
Challenges and Limitations
While AI-driven scheduling offers numerous benefits, it’s not without its challenges and limitations. Here are a few key concerns:
1. Complexity
Implementing AI-driven scheduling requires significant investment in technology and infrastructure. This can be a complex and time-consuming process, requiring significant resources and expertise.
2. Fairness and Equity
AI-driven scheduling raises concerns about fairness and equity. Will certain employees be more likely to be assigned to certain shifts or schedules based on their demographic characteristics? How can we ensure that AI-driven scheduling is fair and equitable for all employees?
Conclusion
The traditional 9-to-5 schedule is being reimagined, and AI-driven scheduling is leading the way. As we move forward, it’s crucial to address the challenges and limitations associated with this new approach. By doing so, we can harness the benefits of AI-driven scheduling to improve productivity, work-life balance, and employee satisfaction. The future of work is here, and it’s time to adapt to the changing landscape.
FAQs
What is AI-driven scheduling?
AI-driven scheduling is a new approach to managing work schedules that uses machine learning algorithms to analyze employee preferences, work styles, and organizational needs to create personalized schedules.
What are the benefits of AI-driven scheduling?
The benefits of AI-driven scheduling include increased flexibility, improved productivity, and better work-life balance.
What are the challenges and limitations of AI-driven scheduling?
The challenges and limitations of AI-driven scheduling include complexity, fairness and equity concerns, and the need for significant investment in technology and infrastructure.
How can I get started with AI-driven scheduling in my organization?
To get started with AI-driven scheduling, it’s essential to conduct a thorough analysis of your organization’s needs and goals. This will help you determine the best approach for your specific situation and ensure a successful implementation.
What is the future of work looking like?
The future of work is likely to be more flexible, autonomous, and personalized. AI-driven scheduling is just one part of this evolving landscape, and it’s crucial to stay ahead of the curve to remain competitive and successful.
Innovation and Technology
Employees Pack Their Own

AI in the Palm of Your Hand
Breaking the Rules
One of the coolest things about America is the way we sometimes break rules. The clearest sign that generative AI and AI have value at work is the fact that, according to a recent survey by the firm writer.com, over a third (35%) of employees personally pay out of pocket for AI tools used at their job — 32% of this customer base is in financial services and 23% in healthcare/life sciences.
Avoiding the Obvious
My co-authors and I predicted in a 2023 Harvard Business Review article, “Where Should Your Company Start with GenAI,” that those functions or firms that have a high “WINS” intensity would be most likely to rapidly adopt generative AI.
The WINS Effect
WINS stands for words, images, numbers and sounds, and every firm should figure out how much of their cost base is paying for the creation and improvement of WINS. If that work is already digitized, generative AI is vital to that firm’s or function’s productivity. This survey points out something we missed: the WINS effect is so strong that when executives don’t support this new wave, employees will do it on their own.
Only an Idiot Would Think AI is a Magic Bullet
If I hear one more pundit say, “The technology by itself will not solve the problem,” I am going to scream. Saying that any technology, AI included, is a magic bullet is like saying my frying pan will feed me breakfast. Of course, anyone with an ounce of common sense knows that no technology in the history of humankind has been the total solution.
Firms Need to EAT AI
I have a little framework I call EAT AI:
- Education is the first step for any leadership team and organization. People cannot begin to understand what generative AI and AI can do if they don’t have some hands-on experience with it.
- Apply the technology is the next step. When anyone studies a subject, they get knowledge but they only develop skill when they apply that knowledge, and it’s a combination of knowledge and skill that are needed to see the potential value of these technologies.
- T stands for transformation. After an organization has some education and created some skill through application, it is then equipped to imagine a transformed future with the power of these silicon co-workers.
AI Enterprise Policies Are Like a Gun Safety Course
When I was growing up, we had access to many weapons: a thirty-aught-six, 45 magnum pistol, double barrel shotgun, pellet guns, bb guns, compound bows and many more. My cousins and I did a lot of shooting and hunting. However, my uncle would literally take any one of us out behind the barn if we messed around with gun safety — even in jest.
Ignore the Ignorant: The Fact is Generative AI and AI Deliver Value
Forget silly claims made by otherwise smart people like Anthropic’s CEO Dario Amodei who says that in three to six months AI will write 90% of all the software code, or Elon Musk’s claim that by 2040 we will have more humanoid robots than humans. The reality, as this survey from writer.com pointed out, is that people see value in these tools — otherwise they would not pay for them.
Conclusion
An executive’s job is to enable employees to find the best and most productive tools to do their work. Core training, availability, expert users and talent who can engineer new AI tools is what staff wants, and if leaders enable these capabilities, employees will not only deliver more productivity for the firm, but are more likely to stay.
FAQs
Q: What is the WINS effect?
A: WINS stands for words, images, numbers and sounds, and every firm should figure out how much of their cost base is paying for the creation and improvement of WINS.
Q: What is the framework for AI adoption?
A: I have a little framework I call EAT AI: Education, Apply, and Transformation.
Q: What is the importance of AI enterprise policies?
A: AI enterprise policies are like a gun safety course; they are necessary for the effective and safe use of AI technology.
Q: What is the reality of AI adoption?
A: The reality is that people see value in these tools — otherwise they would not pay for them.
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