Tag: machine learning

  • The Rising Cost of RAM: Why Laptops and Devices Will Get More Expensive in 2026

    The Rising Cost of RAM: Why Laptops and Devices Will Get More Expensive in 2026

    Over the past decade, businesses and consumers alike have come to expect a familiar pattern with technology: devices get faster, storage gets cheaper, and performance improvements come without major cost increases. That pattern is about to break.

    As we head into 2026, memory pricing – specifically RAM – is climbing again, and this time the increase is likely to stick. That shift will affect everything from business laptops and desktops to servers, networking gear, and even phones and tablets. For organizations planning hardware refreshes or long-term IT budgets, this is a change worth understanding now rather than reacting to later.

    RAM pricing has always been cyclical, but several forces are converging to push costs upward at the same time.

    First, memory manufacturers are deliberately reducing production. After years of oversupply and razor-thin margins, major DRAM vendors have scaled back capacity to stabilize profits. Less supply, even in a steady market, raises prices. Second, demand is increasing in ways that are difficult to reverse. AI workloads, local machine-learning inference, modern operating systems, and security tooling all require more memory than their predecessors. What felt “high-end” in 2020 is now baseline.

    Finally, the industry is in the middle of another transition. DDR5 is replacing DDR4 across laptops, desktops, and servers. New memory standards always cost more early in their lifecycle, and manufacturers are already beginning to sunset older, cheaper options. We also are seeing some vendors pulling out of the consumer space altogether, with Crucial announcing it will no longer sell RAM to consumers or for consumer devices by February 2026.

    What This Means for Laptops and End-User Devices

    For laptops and desktops, RAM costs don’t just affect performance – they affect purchasing decisions.

    In recent years, it was common to see business laptops ship with 8 GB of RAM at entry-level pricing, with 16 GB as a modest upgrade. In 2026, that pricing gap is expected to widen. Vendors are already signaling higher premiums for memory upgrades, especially on models where RAM is soldered and cannot be expanded later.

    This also means devices may stay in service longer, not because they age better, but because replacing them becomes more expensive. That has ripple effects for security, performance, and user satisfaction.

    Rising RAM costs won’t stop at laptops. They will show up across nearly every category of modern hardware:

    • Higher base prices for laptops, desktops, and workstations
    • Larger premiums for factory memory upgrades on OEM devices
    • Increased server and virtualization host costs, especially for high-density RAM configurations
    • More expensive networking and security appliances that rely on embedded memory
    • Reduced flexibility in cloud and on-prem capacity planning as memory becomes the limiting factor

    This is the one area where “just add more RAM later” is becoming less reliable, particularly as more manufacturers move to non-upgradeable designs.

    So, what should your business do now?The key takeaway isn’t panic, it’s planning. Organizations that wait until hardware fails or users complain will feel these increases the most. Those that plan ahead can blunt the impact significantly. That means reassessing minimum RAM standards, extending device lifecycles intentionally instead of reactively, and avoiding under-spec’d systems that will need replacement sooner than expected.

    It also means budgeting differently. Hardware refresh cycles in 2026 and beyond may cost more even if device counts stay the same. Treating RAM as a strategic resource rather than an afterthought will matter more than it has in years. At Valley Techlogic, we’re already advising clients to think one refresh cycle ahead. The days of “good enough” memory configurations are ending, and the cost of correcting that mistake later is rising. Smart IT planning isn’t about chasing the newest hardware, it’s about buying the right hardware at the right time. As RAM pricing tightens in 2026, that mindset will separate organizations that adapt smoothly from those that scramble.

    If you’re planning a laptop refresh, infrastructure upgrade, or long-term IT budget, now is the time to have that conversation. Book a consultation with us today.

    This article was powered by Valley Techlogic, leading provider of trouble free IT services for businesses in California including Merced, Fresno, Stockton & More. You can find more information at https://www.valleytechlogic.com/ or on Facebook at https://www.facebook.com/valleytechlogic/ . Follow us on X at https://x.com/valleytechlogic and LinkedIn at https://www.linkedin.com/company/valley-techlogic-inc/.

  • If AI implementation is important to your business’s 2025 goals, you will want to watch the AI chipset market closely

    If AI implementation is important to your business’s 2025 goals, you will want to watch the AI chipset market closely

    With Project Strawberry (the newest iteration of ChatGPT which is touted to boost it’s reasoning capabilities amongst other new features) on the horizon and more and more businesses taking advantage of AI tools such as Microsoft Co-Pilot and Google Gemini, the AI train doesn’t look like it will be slowing down anytime soon.

    So, if AI is going to be a priority for your businesses 2025 are you planning on how can you make sure you have devices that can fully take advantage of what AI is capable of? AI workloads can be strenuous on the average machine (see our chart on the minimum specifications we recommend below).

    Why is AI so hardware intensive? AI relies on machine learning to operate, if your computer has to slog through the requests you’re making of it (for example, making presentations, automating tasks and performing searches on your behalf) then that’s going to hinder your ability to use AI to it’s full potential. That may lead to you and your users becoming frustrated and resorting to just returning to prior methods of performing these tasks and stifling the ability to use this emerging innovation in technology.

    Failing to adapt to emerging technologies can be a death knell to many businesses (anyone remember Blockbuster?).

    No one knows more how important keeping up with emerging technologies is than chip makers like Intel, Nvidia and AMD who all have chips set to release next year that will reportedly take full advantage of advancements in AI.

    Nvidia so far has led in this race, with their chips utilizing its own programming language, CUDA (which stands for Compute Unified Device Architecture), which has become standard amongst AI developers. This means they’re dominating this market so far, especially in the data center space. Having direct access to this language from an architecture perspective means that chips made by Nvidia can accelerate processes for AI purposes (thus completing AI tasks more efficiently). Their innovations in the AI space and technology as a whole have led to Nvidia representing 11.7% of the total US GDP.

    AMD hopes to compete with Nvidia and reclaim some of their market share with their new chips, set to be released in early 2025 which will feature their own programing language called ROCm. It’s being said making the switch from CUDA to ROCm will be a painless process and offer more competition in the market (which will only improve things from a cost perspective).

    For example, the current cost of a processor intended for a supercomputer with AMDs new chip set is $14,813 per chip, drastically outside the range of most customers’ comfortable price point for a new device. As competitions and advancements become more common place, we may be getting closer to an age where super computers are not just found in scientific and government settings and there’s no telling how that will change the average workplace in the future.

    There’s also the hardware portion of chip making to consider especially amongst earlier concerns of semiconductors maxing out their capacity for growth and shortages that continued past the height of the pandemic. TSMC also reached a new market share height of over a trillion dollars this week putting fears of that rest for the moment.

    If taking advantage of AI or replacing aging hardware is on your 2025 to-do list, Valley Techlogic can help. We offer tailored advice and procurement assistance as an included feature in our support plans for businesses located in California. Reach out today for more information.

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    This article was powered by Valley Techlogic, leading provider of trouble free IT services for businesses in California including Merced, Fresno, Stockton & More. You can find more information at https://www.valleytechlogic.com/ or on Facebook at https://www.facebook.com/valleytechlogic/ . Follow us on Twitter at https://x.com/valleytechlogic and LinkedIn at https://www.linkedin.com/company/valley-techlogic-inc/.