Key Facts
- ✓ Framework has increased RAM prices for its Desktop and Mainframe systems due to rising supplier costs.
- ✓ The 128GB RAM option has seen the largest increase, costing an additional $460 compared to original launch prices.
- ✓ Current Desktop pricing is $1,139 for 32GB, $1,639 for 64GB, and $2,459 for 128GB.
- ✓ The price hikes are largely driven by demand from artificial intelligence projects and data center construction.
- ✓ Framework has committed to reducing prices once the market stabilizes and will honor original pricing for existing pre-orders.
Quick Summary
Computer brand Framework has announced a price increase for RAM options across its Desktop and Mainframe systems. The adjustments are attributed to rising supplier costs, specifically within the memory market. The most significant price hike affects the 128GB configuration, which has increased by $460 compared to initial launch prices.
Current pricing for the Desktop systems is listed as $1,139 for 32GB, $1,639 for 64GB, and $2,459 for 128GB. The company has pledged to remain transparent with customers regarding these changes and intends to lower prices again once the market stabilizes. Existing pre-orders will be fulfilled at the original price points.
Price Breakdown and Specific Increases
The pricing adjustments affect the RAM configurations for Framework Desktop systems. Compared to the prices established when the Desktops were originally announced, the 32GB and 64GB options have each increased by $40. However, the price jump is much more pronounced for users requiring higher memory capacity.
The 128GB RAM variation now costs an extra $460. This brings the total cost for the highest-spec Desktop configuration to $2,459. The full current pricing structure is as follows:
- 32GB RAM: $1,139
- 64GB RAM: $1,639
- 128GB RAM: $2,459
These prices apply to the company's Desktop and Mainframe product lines. The company began altering its pricing structure last month and has maintained a policy of transparency regarding the fluctuations in RAM costs.
Market Factors and Industry Context
The price increases are not isolated to Framework but reflect a broader trend in the technology hardware sector. A major takeaway from CES 2026 was the prediction that RAM will be an expensive commodity throughout the year. The rising costs are largely attributed to the massive demand for memory chips driven by artificial intelligence projects.
Specifically, the rush to build new data centers to support AI development has strained the supply chain. This global demand has led to increased costs for suppliers, which are now being passed on to consumers. As a result, buyers who prefer the modular approach offered by Framework may need to adjust their purchasing strategies.
Industry observers suggest that customers might prioritize upgrading less costly components to achieve better system specs, avoiding the increasingly hefty investment required for high-capacity memory modules.
Company Response and Customer Assurance
Framework has taken steps to assure customers regarding the temporary nature of these price hikes. Since initiating the pricing structure changes last month, the company has committed to remaining transparent about the ongoing changes to RAM prices. This transparency is intended to help customers understand the necessity of the increases.
Furthermore, Framework has explicitly stated that it will reduce prices again once the market calms down. This承诺 offers hope that the current high costs are not permanent. Additionally, the company is protecting early adopters by honoring original prices for any existing pre-orders.
Customers who have already placed orders will not be subject to the new, higher pricing tiers. This policy ensures that those who committed to the platform early are rewarded despite the shifting market conditions.
Strategic Buying Advice
Given the sharp increase in memory costs, specifically the $460 hike for the 128GB option, potential buyers may need to rethink their hardware configurations. The rising costs of RAM suggest that investing heavily in memory is becoming increasingly expensive compared to other components.
For those looking to build a high-performance system without breaking the bank, focusing on other modular upgrades might be a more cost-effective strategy. Upgrading storage or processing power could yield better performance gains per dollar spent compared to maximizing RAM capacity at current market rates. Buyers are advised to weigh the necessity of high memory capacity against the significantly higher investment required.









