For Infra Buyers & Engineers
- Choose lower-emission regions for training jobs
- Shift workloads to more carbon-efficient chips or clusters
- Benchmark suppliers on both price and sustainability
SiliconCarbon™
Track the True Cost of AI Workloads — in Carbon.
SiliconCarbon™ by Silicon Data is the first tool built to estimate, benchmark, and optimize the carbon footprint of GPU-intensive workloads across regions, chip types, and infrastructure providers
SILICONCARBON™ HELPS YOU
Why SiliconCarbon™?
Carbon isn’t just a sustainability metric. It’s a cost
As AI infrastructure grows, so does scrutiny. Carbon-aware compute is fast becoming a board-level priority — with financial, regulatory, and reputational stakes.
Estimate carbon footprint per job, chip, hour, or region
Optimize infrastructure with carbon-aware deployment strategies
Benchmark workloads across vendors, clusters, and chip types
Model the financial impact of potential carbon pricing scenarios
Understand your environmental cost
Whether you’re training LLMs, deploying inference at scale, or renting a multi-node cluster, Silicon Carbon helps you understand the environmental impact — and how to optimize it.
Workflow-Based Carbon Calculator
Input chip type, duration, and geo — get carbon footprint in kgCO₂e.
Location-Specific Emissions Factors
Built on regional grid intensity data and datacenter-specific mappings.
Chip-Aware Energy Modeling
Adjusted for GPU architecture, TDP and power draw.
Benchmarking Across Providers
Compare same job’s carbon footprint across AWS, Azure, Colocation, and more.
API + Web Tool Access
Query estimates via REST API or use our self-serve UI.
SiliconCarbon™
Use Cases
For Sustainability & ESG Teams
- Track emissions from AI infrastructure with verifiable logic
- Report to investors, regulators, and internal sustainability committees
For Financial Institutions & Insurers
- Assess hidden carbon liabilities in AI infrastructure portfolios
- Stress test investments against rising carbon prices
- Build smarter ESG-aligned capital deployment strategies
Built for Transparency, Designed for Action
“Running a 10-hour training job on H100s in Virginia emits 13.6 kgCO₂e — 5x higher than the same job in Norway.”
GPU + region-specific modeling
Real-time, structured, actionable.
Powered by open energy datasets + proprietary benchmarks
Coverage from hyperscalers, vendors, and marketplaces.
Enterprise-ready API and reporting outputs
Curated, normalized, and ready for decision-making.
Integrated with Silicon Data’s full suite
Curated, normalized, and ready for decision-making.
Understand the true cost of compute. Act on carbon intelligence.
Realtime price transparency & GPU performance data for traders, financial institutions, and builders.