Solidigm’s Post

Demand for data is far from slowing down. AI is a big driver for this, and data centres will have to approach storage solutions differently if they are to keep up in response to growth in this area. #DataCentres #SSDs #Innovation #Manufacturing

I think #TeamSolidigm Director of Market Development Ace Stryker is spot on regarding how SSDs enable AI innovation. It's an exciting time for the storage industry. Read Ace's predictions on the trends shaping the future of AI data storage in 2025 in VMblog.  As AI applications grow and scale, data centers face significant challenges including finding data storage solutions that are powerful AND efficient.  #Solidigm

The rapid growth of AI is driving unprecedented demand for data storage solutions that are both powerful and efficient. With SSDs emerging as a critical enabler of AI innovation, the storage industry is undergoing a shift. Read more from #TeamSolidigm:

The rapid growth of AI is driving unprecedented demand for data storage solutions that are both powerful and efficient. With SSDs emerging as a critical enabler of AI innovation, the storage industry is undergoing a shift. Read more from #TeamSolidigm:

My #TeamSolidigm colleague shared predictions on the key trends shaping the future of AI data storage in VMblog. As the growth of AI drives demand for data storage solutions that are both powerful and efficient, the storage industry is undergoing a shift.

The rapid growth of AI is driving unprecedented demand for data storage solutions that are both powerful and efficient. With SSDs emerging as a critical enabler of AI innovation, the storage industry is undergoing a shift. Read more from #TeamSolidigm:

The rapid growth of #artificialintelligence is driving an unprecedented demand for #datastorage solutions that are both powerful and efficient. This article by Ace Stryker of Solidigm explores the key #trends and #predictions shaping the future of #AI data #storage in 2025 and beyond. https://lnkd.in/giFe-uT4 #SSDs #edge

2025 data center progress report Digital transformation and energy management in the wake of AI The Beating Heart of the Digital Economy The report highlights the evolving role of data centers in the digital economy, driven by surging demand from AI and machine learning (ML), especially generative AI (GenAI) and large language models (LLMs). This growth demands higher performance, resilience, and efficiency across cloud, edge, and on-premises facilities. Key Trends Shaping Data Centers in 2025 Exploding Capacity Demands: AI workloads require immense computational resources, leading to higher energy consumption. Rack densities exceeding 10 kW are common, with liquid cooling adoption rising to meet energy efficiency needs. AI-Driven Operational Optimization: AI and ML are enabling predictive maintenance, energy optimization, and proactive capacity management. Tools like DCIM and EPMS are transforming data center operations by automating key processes. Sustainability and Energy Efficiency: Data centers are aggressively pursuing renewable energy, advanced energy storage, and grid enhancements. Sustainability goals are pivotal, with operators striving to balance immediate capacity needs against long-term environmental objectives. Edge Computing and Decentralization: Edge data centers are shifting workloads closer to users, driven by latency and performance requirements. The distributed nature of edge operations presents unique energy and monitoring challenges. Security and Compliance: Cybersecurity and regulatory compliance are top priorities as data volumes and cyberattack sophistication grow. Zero-trust architectures are increasingly adopted to safeguard critical assets. Conclusion: Balancing Opportunities and Challenges Data centers are at a crossroads of immense opportunity and significant challenges. Strategic investments in capacity, AI-driven optimization, and sustainability will define the leaders in this rapidly transforming industry. #DataCenters #AIInfrastructure #Sustainability #DigitalTransformation #LiquidCooling #EdgeComputing #Cybersecurity #EnergyEfficiency #FutureOfDataCenters

The DeepSeek AI model could drive AI adoption and data center expansion, with experts predicting increased demand for both large-scale and decentralized infrastructure. The Role of Modular and Edge Data Centers

Gartner predicts that power shortages will impact 40% of AI data centers by 2027. Explore what this means for the future of AI infrastructure and innovation. Read here: https://lnkd.in/dm5qWZ2W #AI #DataCenters #Sustainability #TechTrends #GartnerPredictions #FutureTech #DigitalTransformation #EnergyManagement