If your business has recently requested pricing for new computers, servers, or memory upgrades, you may have experienced some sticker shock.
We've seen it firsthand in our own quotes for the exact same hardware:
| Configuration | Earlier quote | Current quote | Change |
|---|---|---|---|
| Business desktop Current-generation Intel processor, 16 GB DDR5, 512 GB SSD, Windows 11 Pro |
$900 | $1,400 | +56% |
| Dual-processor server 256 GB memory, eight 3.84 TB enterprise SSDs |
$40,000 November 2025 |
$90,000 | +125% |
Memory prices have climbed sharply in 2026, and the impact reaches well beyond people building high-end PCs. RAM is a fundamental component in business laptops, desktops, servers, virtualization hosts and data-center infrastructure. When memory becomes substantially more expensive, the cost of replacing and upgrading business technology rises along with it.
Businesses planning hardware purchases should reconsider the assumption that computers will simply become cheaper over time.
What Is Happening to RAM Prices?
Both DDR4 and DDR5 memory have become significantly more expensive. Barclays data reported by Shattered showed DDR4 contract pricing rising approximately 24% over the three months through October 2026, compared with approximately 20% for DDR5.
That creates an unusual situation. Normally, businesses expect previous-generation technology to get cheaper as newer technology takes over. But manufacturers have been shifting production capacity away from DDR4 toward newer, higher-value products. With shrinking supply, the opposite can happen: older hardware can become more expensive to maintain or upgrade even as it approaches the end of its useful life.
DDR5 supply has remained tight as well, as memory manufacturers direct more of their capacity toward server and AI customers.
AI Isn't Just Changing Software. It's Changing Hardware Economics.
Most businesses experience artificial intelligence through software such as Microsoft Copilot, ChatGPT and other AI platforms. Behind those applications sits an enormous amount of physical infrastructure.
AI data centers require tremendous amounts of computing capacity, memory and storage. As manufacturers prioritize products for those customers, less manufacturing capacity is left for traditional PC and server components, and prices rise across the market.
In other words, the AI boom isn't only changing the software organizations use. It's influencing the economics of the hardware they buy.
Even DDR4 Isn't the "Budget" Choice It Used to Be
This may be the most surprising development for businesses maintaining older computers.
DDR4 has traditionally been an inexpensive way to extend the life of an existing workstation or server. Add some RAM, replace an SSD, and keep the machine running for another year or two. With major manufacturers reducing DDR4 production, that calculation is getting more complicated.
It's also important to know that DDR4 and DDR5 are not interchangeable. A DDR4 motherboard cannot simply be upgraded with DDR5 memory. So an organization maintaining an older fleet may eventually face a choice: pay increasingly high prices to upgrade an aging platform, or replace the system with a newer one.
That decision should be based on the complete lifecycle cost of the machine, not simply the cost of another RAM module.
Why This Can Make Business Computers More Expensive
RAM is only one component of a computer, but rising memory and storage costs are showing up in the price of complete systems, including standard office desktops.
A business desktop we regularly quote, with a current-generation Intel processor, 16 GB of DDR5 memory, a 512 GB SSD and Windows 11 Pro, was about $900. Today the same configuration is about $1,400.
That's a basic office PC, not a high-end workstation.
The impact compounds at business scale. If you're replacing 40 desktops, a $500 increase per machine adds about $20,000 to the project. That's money many organizations didn't budget for when they planned this year's refresh.
Consider what that means for an organization planning to:
- Replace 40 employee desktops or laptops
- Upgrade workstations from 16 GB to 32 GB of RAM
- Deploy new Hyper-V or virtualization hosts
- Purchase a server with hundreds of gigabytes of memory
- Refresh hardware across several offices
That's why TCI recommends treating technology refreshes as planned projects rather than one-off purchases.
Servers May Feel the Impact Even More
If desktops are feeling the increase, servers are feeling it even more.
Here's a real example from our own quoting. In November 2025, TCI priced a dual-processor server with 256 GB of memory and eight 3.84 TB enterprise SSDs at roughly $40,000. When we re-quoted the same configuration recently, it came back at roughly $90,000.
Same server. Same specifications. More than double the price.
Memory is a major driver, but it isn't the only one. Enterprise SSDs rely on NAND flash, which has faced similar pricing pressure as manufacturers prioritize AI and data-center demand. Servers combine both, which is why they've been hit harder than typical office PCs.
Virtualization hosts, SQL Server, ERP systems and remote desktop environments all depend on large amounts of memory and fast storage. For organizations planning server replacements, capacity planning should happen before requesting hardware quotes, not afterward. A configuration that fit last year's budget may not fit this year's.
Don't Assume Waiting Will Automatically Save Money
IT departments have traditionally been able to postpone hardware purchases with a reasonable expectation that equivalent technology would get cheaper. In the current market, that isn't a safe budgeting strategy for memory. Contract prices for both DDR4 and DDR5 are rising, and some analysts expect DRAM constraints to persist, although those projections remain forecasts rather than guarantees.
That doesn't mean businesses should panic-buy computers. It means organizations with known replacement projects should start planning earlier.
What Businesses Should Do Now
At TCI Technologies, we believe the right response isn't to rush out and purchase hardware. It's to understand what you will actually need over the next 12 to 24 months.
1. Review your hardware lifecycle
Identify computers that are approaching replacement rather than waiting until they fail.
2. Identify memory-heavy systems
Engineering workstations, virtualization servers, database servers and other high-performance systems deserve particular attention because memory and storage represent a larger portion of their cost.
3. Compare upgrading versus replacing
Putting expensive DDR4 memory into an aging computer doesn't always make financial sense. Sometimes extending the life of an existing machine is still the smartest option. In other cases, that money is better applied toward a modern DDR5 platform.
4. Standardize business configurations
Rather than ordering whatever computer happens to be available when an employee needs one, establish standard configurations such as:
| Profile | Memory | Storage | Typical use |
|---|---|---|---|
| General Business User | 16 GB | 512 GB SSD | Email, Microsoft 365, web apps and line-of-business software |
| Power User | 32 GB | 1 TB SSD | Heavy multitasking, large spreadsheets and multiple monitors |
| Engineering or Creative Workstation | 32–64+ GB | Based on workload | CAD, design, video editing and data analysis |
Your actual standards should be set according to the applications and workloads your employees use.
5. Get quotes early, and expect them to change
If you know you're replacing dozens of PCs or refreshing servers, start the project before the equipment reaches end of life. As our own quotes show, pricing can move significantly in a matter of months. Starting early gives your IT partner more flexibility to evaluate manufacturers, configurations, availability, warranties and pricing instead of making an emergency purchase.
The Bigger Lesson: Hardware Planning Matters Again
For years, businesses could largely assume that computing power would increase while the cost of technology steadily declined. AI infrastructure, semiconductor manufacturing priorities and changing memory supply are challenging that assumption.
An IT refresh strategy shouldn't begin when a computer dies. It should start with understanding:
- What equipment do we have?
- How old is it?
- What will need to be replaced?
- What workloads will require more computing power?
- What should we budget for before prices or availability change?
TCI Technologies Can Help You Build a Hardware Roadmap
TCI Technologies helps businesses plan workstation, server, cloud and infrastructure investments around their actual technology requirements.
Instead of simply replacing equipment when something breaks, we can help develop a 12-, 24-, or 36-month technology roadmap that identifies upcoming replacements, modernization opportunities and potential budget requirements. And when it's time to buy, our IT procurement and vendor management services take the work off your plate: we evaluate options, compare quotes side by side and negotiate with vendors on your behalf.
With hardware costs changing rapidly, having that roadmap can make the difference between a planned technology investment and an unexpected expense.
Planning a PC or server refresh? Talk with TCI Technologies before you buy.
Source: "DDR5 vs. DDR4 RAM Prices in 2026," Shattered. Pricing examples are based on TCI Technologies' own quotes and will vary by configuration and vendor.
