{
  "id": 17108578,
  "title": "AMD and Cloudera look beyond hardware in right-sizing infrastructure",
  "url": "https://urgent.news/2026/10/29/amd-and-cloudera-look-beyond-hardware-in-right-sizing-infrastructure",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-10-29T19:03:42.000Z",
  "source": {
    "name": "SiliconANGLE",
    "slug": "siliconangle",
    "url": "https://siliconangle.com/2026/10/29/amd-cloudera-look-beyond-hardware-right-sizing-infrastructure-evolve26/"
  },
  "original_language": "en",
  "account": "Right-sizing infrastructure for businesses embarking on AI deployments is a critical consideration, according to Jeremy Girven, AWS technical enablement manager at Advanced Micro Devices Inc. Performance metrics alone cannot adequately convey the implications of an investment for customers, Girven emphasized. The acceptable response time for users plays a significant role in determining the appropriate hardware for a particular use case. For instance, if waiting 30 seconds for a response is acceptable, opting for cheaper hardware might be a more cost-effective solution. Conversely, if immediate response is necessary, customers may need to invest in more advanced hardware.\n\nDuring an exclusive broadcast at EVOLVE26, Girven discussed AMD's partnership with Cloudera, focusing on infrastructure right-sizing and the economics of AI deployment in enterprises. Budgetary concerns are a significant aspect of these discussions, with Girven suggesting that organizations with limited technical expertise should collaborate with partners such as Cloudera or AMD to design tailored solutions meeting their specific requirements. Currently, infrastructure right-sizing solutions for AI are not standardized, as each customer's needs are unique.\n\nGirven stressed the importance of ongoing monitoring and adjustment of infrastructure utilization and capacity after deployment. Enterprises should not solely concentrate on the technological aspects of AI but also consider ancillary costs, such as network fees, which can significantly impact overall expenses. He highlighted instances where customers were caught off guard by unexpected network egress fees, underscoring the need for comprehensive cost analysis in AI deployments.",
  "summary": "Right-sizing infrastructure starts with understanding what a business needs its technology to accomplish. For enterprises moving AI into production, cost pressures are sharpening the need to connect technical performance with business value. Performance figures alone don’t tell customers what an investment will mean for their business, according to Jeremy Girven, AWS technical enablement manager…",
  "key_points": [
    "AMD and Cloudera focus on infrastructure right-sizing for AI deployments.",
    "Performance metrics, response time, and cost are key factors in hardware selection.",
    "Budget constraints and ancillary costs like network fees are crucial considerations."
  ],
  "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."
}