As artificial intelligence continues to redefine technological landscapes, Solidigm doesn’t just make SSDs that power solutions to others’ problems. We’ve also integrated innovative AI tools into our own operations to increase efficiency and product quality.
In case you’re curious, here’s a roundup of just a few AI-powered internal tools that Solidigm has developed — because we wouldn’t want to buy AI server hardware from a company that doesn’t use AI every day, either!
SENTA, the Smart Engine for NAND/SSD Tasks and Analytics, is designed to boost productivity for engineering and support teams. It offers advanced failure analysis and incorporates a Retrieval-Augmented Generation (RAG) system, which synthesizes vast datasets to deliver actionable insights. By automating complex analytics, SENTA enables faster problem resolution and supports more effective decision-making across SSD development cycles.
The BETT SSD BOM AI Agent is a game-changer for Solidigm teams’ production workflow. By harnessing the power of large language models (LLMs), BETT enables early detection of potential material issues and ensures comprehensive bill of materials (BOM) traceability. Integrated directly with Windchill, the agent streamlines BOM management, allowing engineering teams to proactively address risks and maintain high quality standards throughout the manufacturing process.
Solidigm employs AI-driven automation in NAND validation, leveraging tools like Copilot for automated test code generation. This approach not only accelerates the qualification process but also raises the bar for product quality. By reducing manual effort and increasing testing thoroughness, the AI validation system ensures Solidigm’s SSDs meet rigorous performance and reliability standards.
The Ragnar SSD Workload Classifier utilizes neural networks directly in SSD firmware to classify workloads in real time. This innovation significantly reduces development time by providing instant feedback on SSD behavior under various conditions. As a result, Solidigm can rapidly iterate and optimize firmware, delivering more robust solutions to end users.
Solidigm’s Feature Breakdown Tool uses AI to automate requirements analysis, ensuring comprehensive coverage and facilitating knowledge transfer across teams. By breaking down specifications and mapping them to test cases, the tool helps maintain alignment between product development and customer needs, improving overall project execution.
The Athena SSD Tuning system employs reinforcement learning techniques to fine-tune SSD performance and Quality of Service (QoS). By continuously analyzing operational data, Athena adapts firmware parameters in real time, optimizing throughput and latency for diverse workloads.
The Debug Assistant LLM Agent (DALA) is central to Solidigm’s customer issue resolution strategy. By analyzing vast datasets and drawing on historical solutions, DALA helps engineers swiftly identify root causes, expediting support and minimizing downtime for clients.
Solidigm’s AI adoption extends to sentiment analysis for IT tickets, market intelligence platforms that track industry trends, Speech Studio for voice-driven analytics, contract review agents for legal compliance, and data analyst agents that automate complex reporting tasks. These initiatives collectively reinforce Solidigm’s commitment to operational excellence and data-driven decision-making.
Solidigm’s holistic approach to AI, both in product innovation and internal operations, sets a new standard for the industry. By leveraging advanced AI tools and platforms, we not only bring superior SSD solutions to market but also drive efficiency, agility, and quality throughout our organization. As AI continues to evolve, Solidigm will continue to lead in intelligent storage and operational innovation.
Ace Stryker is Director of Market Development at Solidigm where he focuses on emerging applications for the company’s portfolio of data center storage solutions.
