Climate Change Data

GSI Technology, Inc.

Climate Impact & Sustainability Data (2023)

Reporting Period: 2023

Environmental Metrics

Total Carbon Emissions:Not disclosed
Scope 1 Emissions:Not disclosed
Scope 2 Emissions:Not disclosed
Scope 3 Emissions:Not disclosed
Renewable Energy Share:Not disclosed
Total Energy Consumption:Not disclosed
Water Consumption:Not disclosed
Waste Generated:Not disclosed
Carbon Intensity:Not disclosed

ESG Focus Areas

  • Climate Change
  • Energy Efficiency

Environmental Achievements

  • Not disclosed

Social Achievements

  • Not disclosed

Governance Achievements

  • Not disclosed

Climate Goals & Targets

Long-term Goals:
  • Not disclosed
Medium-term Goals:
  • Not disclosed
Short-term Goals:
  • Not disclosed

Environmental Challenges

  • High energy usage of LLMs negatively impacting climate change.
  • Inference accounts for 80-90% of machine learning workloads and demand, contributing significantly to energy consumption.
Mitigation Strategies
  • Development of in-memory associative computing APU technology for flexible bit processing to reduce energy consumption in LLMs.

Supply Chain Management

Supplier Audits: Not disclosed

Responsible Procurement
  • Not disclosed

Climate-Related Risks & Opportunities

Physical Risks
  • Not disclosed
Transition Risks
  • Not disclosed
Opportunities
  • Development of energy-efficient LLMs

Reporting Standards

Frameworks Used: Null

Certifications: Null

Third-party Assurance: Not disclosed

UN Sustainable Development Goals

  • Goal 7 (Affordable and Clean Energy)
  • Goal 9 (Industry, Innovation, and Infrastructure)
  • Goal 13 (Climate Action)

The APU technology contributes to these goals by reducing energy consumption in LLMs and promoting sustainable computing practices.

Sustainable Products & Innovation

  • In-memory associative computing APU technology

Awards & Recognition

  • Not disclosed