{
  "id": 3560658,
  "title": "AMD, Supermicro and MinIO target the enterprise data pipeline bottleneck",
  "url": "https://urgent.news/2026/08/26/amd-supermicro-and-minio-target-the-enterprise-data-pipeline",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-08-26T18:15:51.000Z",
  "source": {
    "name": "SiliconANGLE",
    "slug": "siliconangle",
    "url": "https://siliconangle.com/2026/08/26/data-pipeline-amd-supermicro-minio-lakehouse-supermicroopenstoragesummit/"
  },
  "original_language": "en",
  "account": "Despite rapid advances in artificial intelligence, enterprises continue to struggle with an enterprise data pipeline bottleneck. Over 80% of enterprise data is unstructured, and 99% of this data is inaccessible to AI due to lack of queryability. Organizations attempt to build AI systems requiring consistent, governed access to this information while dealing with data fragmentation and interoperability challenges. Data lakes and lakehouse architectures are emerging as crucial components of the modern AI stack, and industry players like Advanced Micro Devices Inc., Supermicro Computer Inc., and MinIO Inc. are developing solutions to address data pipeline issues. Varun Selvaraj, business development manager of enterprise AI at AMD, highlighted that the current issue lies not in compute power but rather in data pipeline inefficiencies. \"Customers are sitting with massive amounts of unstructured data where their infrastructure isn't AI scale,\" Selvaraj explained in an interview with Rob Strechay for the Supermicro Open Storage Summit. The discussion, featuring Albert Tan from Supermicro and Greg DeMichillie from MinIO, covered the approach to lakehouse architectures, the role of open standards, and the evolution of data lakes. DeMichillie emphasized that storage plays a central role in designing lakehouse environments, as it supplies massive amounts of information required by AI processing systems. To eliminate fragmentation and optimize performance, Supermicro collaborates with MinIO using its AIStor platform, which supports Apache Iceberg tables and the Iceberg REST Catalog. This open solution enables enterprises to consolidate data while maintaining flexibility and openness. Iceberg has transformed cloud object stores into high-performance, transactional data lakehouses, enabling multi-engine flexibility without vendor lock-in. The partners at Supermicro, MinIO, and AMD work together to develop solutions that ensure balanced performance across software and hardware layers, addressing the complex I/O, memory, and bandwidth requirements of generative AI systems.",
  "summary": "Despite rapid advances in artificial intelligence, the enterprise world is still dealing with a data pipeline problem. More than 80% of enterprise data is unstructured, and 99% of this data is dark to AI because there is no easy solution to query it, according to industry experts. Yet organizations are still trying to build AI […] The post AMD, Supermicro and MinIO target the enterprise data…",
  "key_points": [
    "80% of enterprise data is unstructured and inaccessible to AI",
    "AMD, Supermicro, and MinIO developing data pipeline solutions",
    "Iceberg tables and open standards optimize data lakehouse performance"
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}