Enabling Sustainable Cloud Computing With Low-Carbon Server Design
To combat climate change, we must reduce carbon emissions from hyperscale cloud computing. We find that compute servers cause the majority of a general-purpose cloud’s emissions. Thus, we motivate designing carbon-efficient compute server Stock Keeping Units (SKUs), or GreenSKUs, using recently-available low-carbon components. We build three GreenSKU prototypes, integrating energy-efficient CPUs, reused old DRAM via CXL, and reused old SSDs. We reveal challenges that limit GreenSKUs’ carbon savings at scale and may prevent their adoption by cloud providers. To address these challenges, we develop a novel framework, GSF (GreenSKU Framework), that enables cloud providers to systematically evaluate GreenSKUs’ carbon savings at scale. By implementing GSF within Microsoft Azure’s production constraints, we demonstrate that GreenSKUs reduce net cloud emissions by 8%, which is globally significant. This work is the first to demonstrate and quantify how carbon-efficient server designs translate to measurable cloud-scale emissions reductions, enabling meaningful contributions to cloud sustainability goals.
Authors
- Akshitha Sriraman (ORCID: https://orcid.org/0000-0003-4780-9483)
- Brijesh Warrier (ORCID: https://orcid.org/0009-0004-4665-2319)
- Fiodar Kazhamiaka (ORCID: https://orcid.org/0000-0002-0798-5151)
- Jonathan P. Stern (ORCID: https://orcid.org/0000-0002-7541-9565)
- Chaojie Zhang (ORCID: https://orcid.org/0000-0002-5312-9065)
- Kali Frost (ORCID: https://orcid.org/0000-0003-2493-5065)
- Rodrigo Fonseca (ORCID: https://orcid.org/0000-0001-9662-2661)
- Esha Choukse (ORCID: https://orcid.org/0000-0003-0371-5522)
- Jaylen Wang (ORCID: https://orcid.org/0000-0001-6868-7169)
- Daniel S. Berger (ORCID: https://orcid.org/0000-0002-3911-1512)
- Celine Irvene (ORCID: https://orcid.org/0000-0003-3951-9320)
- Ricardo Bianchini (ORCID: https://orcid.org/0000-0001-5971-5084)
- Chetan Bansal (ORCID: https://orcid.org/0000-0003-0102-8139)
Institutions
- Microsoft (United States) (US)
- Carnegie Mellon University (US)
Publication Details
- Journal
- IEEE Micro
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1109/mm.2025.3572955
- Citations
- 2
- Primary Topic
- Cloud Computing and Resource Management
- Type
- article
- Field-Weighted Citation Impact
- 6.49