Raspberry Pi 5 Prices Hike Again as Global Memory Crisis Deepens

Just hot on the heels of the price increases announced back in October, the Raspberry Pi Foundation has confirmed that the cost of its flagship Raspberry Pi 5 single-board computers is heading upward once more. For enthusiasts, educators, and industrial developers alike, the latest wave of adjustments marks yet another frustrating chapter in an ongoing hardware affordability crisis that has fundamentally disrupted the maker community.

Beginning in November 2026, the high-end Raspberry Pi 5 equipped with 16 GB of RAM will experience a staggering $80 price jump, bringing its cost to a steep $385 when purchased through approved resellers. This model originally debuted at a much more accessible $120 back in 2025. However, compounding market pressures pushed that price up to $205 in early 2026, and subsequent incremental increases steadily drove the figure to $305 before this latest, dramatic escalation.

Unfortunately for consumers and project builders, this model is not the only piece of hardware making wallets wince. The pricing structure is shifting across other high-capacity variations as well, introducing financial hurdles for projects that rely on dense memory configurations. A notable $40 price hike is also striking the Raspberry Pi 5 Compute Module, commonly known as the CM5, specifically for the 16 GB RAM variant. For the time being, however, the Raspberry Pi 500+ keyboard PC—which has never occupied the lower end of the pricing spectrum—remains untouched by this round of increases.

These persistent rises are adjustments that the Raspberry Pi Foundation insists it makes with great reluctance. The root cause lies firmly within the ongoing global memory crisis, which has been triggered by colossal, insatiable demand from the artificial intelligence industry and massive data centre hyperscalers. This extreme market pressure has been further exacerbated by a lack of diversified supply chains, leaving smaller hardware vendors uniquely vulnerable to severe component shortages and pricing volatility.

Looking forward, the Foundation has expressed its hope of eventually rolling back these price increases whenever memory manufacturing costs finally settle and fall once again. Yet, that relief may be a long way off. Some industry analysts and insiders warn that the current memory crunch could persist well into the mid-2030s, meaning high hardware costs might become the status quo for the foreseeable future rather than a short-term blip.

In an effort to mitigate the damage and support its community, the Raspberry Pi team has attempted several creative engineering and commercial solutions. Earlier in the crisis, the organization introduced alternative designs, such as a dual-RAM model utilizing lower-density chips, followed later by the launch of a 3GB model of the Raspberry Pi 4 to offer more granular pricing tiers. Beyond hardware adjustments, the Foundation frequently encourages prospective buyers to carefully evaluate their actual project requirements, urging them to choose lower RAM configurations if heavy memory loads are not strictly necessary for their applications.

Despite these admirable mitigation strategies, the reality is that smaller hardware companies are being hit far harder by industry volatility than tech giants, largely due to a simple lack of purchasing power. The broader ecosystem has already suffered major casualties as a result of these compounding market forces. Earlier this year, Pine64 made the difficult decision to completely halt the production of its Linux-based devices. The relentless rise in component costs had finally inflated to a point that rendered their foundational "affordable" hardware pitch—which was always intended to encourage hacking, tinkering, and grassroots innovation—utterly moot.

You’re to blame, buddy

As the hardware community grapples with these steep financial realities, the debate over who bears responsibility for the global DRAM shortage has grown increasingly pointed. OpenAI Chief Executive Officer Sam Altman recently placed part of the blame squarely on everyday users. He criticized individuals who purchase high quantities of RAM to run open-source artificial intelligence models locally on their personal computers, describing the trend as "quite terrible" for the broader tech ecosystem. From his perspective, it is inefficient for significant portions of the world’s limited DRAM supply to be sitting idly inside consumer desktops rather than powering large-scale computational infrastructure.

For anyone currently reading these updates and tutting in frustration at yet another round of price hikes on microcontrollers and single-board computers, Altman’s remarks invite a dose of uncomfortable self-awareness. After all, for those sitting in front of monster gaming rigs or heavily tricked-out local workstations packed with gigabytes of high-performance memory, the ultimate public-spirited, altruistic gesture might just be pulling out those memory sticks and mailing them off to the nearest enterprise data centre. After all, hyperscalers purportedly need the silicon far more than any home tinkerer.