Track the True Cost of AI Workloads — in Carbon Emissions
SILICON CARBON HELPS YOU
Why Silicon Carbon?
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.
USE CASES
Compute Smarter. Invest Cleaner. Build Responsibly
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
For Sustainability & ESG Teams
- Track emissions from AI infrastructure with workforce logs
- 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 stronger 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
Powered by open energy datasets + proprietary benchmarks
Enterprise-ready API and reporting outputs
Integrated with Silicon Data's full suite