Are Seagate’s 30TB and 32TB HAMR Drives the Future of Data Storage?

In a groundbreaking move for the data storage industry, Seagate has unveiled the world’s first high-capacity HDDs using Heat-Assisted Magnetic Recording (HAMR) technology, signaling a new era in data storage capacities. This monumental advancement had been in development for decades, with initial patents tracing back to 1954 and the company’s research kicking off in the 1990s. The result of these extensive efforts are the new Exos M drives, available in 30TB and 32TB models. The 30TB drive employs conventional magnetic recording (CMR) while the 32TB model utilizes the controversial shingled magnetic recording (SMR) technique, both promising a high data density of 3TB per platter, along with notable improvements in energy efficiency and sustainability.

The Emergence of HAMR Technology

Seagate’s innovative HAMR technology marks a significant leap forward in data storage, leveraging a laser diode to heat tiny areas of the disk to enable higher density digital writing. This intricate heating, writing, and cooling process occurs rapidly, within less than one nanosecond. Developed on Seagate’s Mozaic 3+ platform, these HAMR drives promise enhanced efficiency and reliability, positioning them as a transformative solution for the industry’s future needs. Extensive testing, involving over 500,000 Mozaic 3+ hard drives, has demonstrated that HAMR HDDs are as reliable as traditional magnetic drives, dispelling concerns surrounding the new technology. Seagate’s commitment to continued innovation is further illustrated by plans to increase platter density to as much as 4TB in future models, potentially leading to even higher capacity drives.

Industry Implications and Future Prospects

The release of the new Exos M series, available in 30TB and 32TB models, signifies a new chapter not only for Seagate but for the entire data storage industry, paving the way for future advancements and higher storage capacities. The 30TB drive employs conventional magnetic recording (CMR), while the 32TB model uses the more debated shingled magnetic recording (SMR) technique. Both versions promise a high data density of 3TB per platter, accompanied by notable improvements in energy efficiency and sustainability. This milestone, developed over decades with initial patents dating back to 1954 and research beginning in the 1990s, indicates the extensive efforts behind these advancements.

Explore more

How B2B Teams Use Video to Win Deals on Day One

The conventional wisdom that separates B2B video into either high-level brand awareness campaigns or granular product demonstrations is not just outdated, it is actively undermining sales pipelines. This limited perspective often forces marketing teams to choose between creating content that gets views but generates no qualified leads, or producing dry demos that capture interest but fail to build a memorable

Data Engineering Is the Unseen Force Powering AI

While generative AI applications capture the public imagination with their seemingly magical abilities, the silent, intricate work of data engineering remains the true catalyst behind this technological revolution, forming the invisible architecture upon which all intelligent systems are built. As organizations race to deploy AI at scale, the spotlight is shifting from the glamour of model creation to the foundational

Is Responsible AI an Engineering Challenge?

A multinational bank launches a new automated loan approval system, backed by a corporate AI ethics charter celebrated for its commitment to fairness and transparency, only to find itself months later facing regulatory scrutiny for discriminatory outcomes. The bank’s leadership is perplexed; the principles were sound, the intentions noble, and the governance committee active. This scenario, playing out in boardrooms

Trend Analysis: Declarative Data Pipelines

The relentless expansion of data has pushed traditional data engineering practices to a breaking point, forcing a fundamental reevaluation of how data workflows are designed, built, and maintained. The data engineering landscape is undergoing a seismic shift, moving away from the complex, manual coding of data workflows toward intelligent, outcome-oriented automation. This article analyzes the rise of declarative data pipelines,

Trend Analysis: Agentic E-Commerce

The familiar act of adding items to a digital shopping cart is quietly being rendered obsolete by a sophisticated new class of autonomous AI that promises to redefine the very nature of online transactions. From passive browsing to proactive purchasing, a new paradigm is emerging. This analysis explores Agentic E-Commerce, where AI agents act on our behalf, promising a future