NVIDIA (NVDA Stock) closed 2025 with a huge portion of the GPU market. Research data shows that the company held about 92 percent of the discrete graphics processing unit (GPU) market in the first half of 2025. This figure covers add-in boards used in personal computers and workstations. Its closest rivals, including AMD and Intel, held much smaller shares.
The company unveiled its new Rubin data center chips. They claim these chips are 40% more energy efficient per watt. This change aims to make artificial intelligence (AI) computing more sustainable.
NVIDIA’s GPUs dominated the sector used for gaming and AI. Despite challenges with its latest Blackwell GPU launch, the company’s lead remained strong. This article explains how Nvidia maintained this market position. It also explains how the company is tackling environmental and energy issues in its products and operations.
How NVIDIA Came to Control the Majority of the GPU Market
NVIDIA’s market share for discrete GPUs reached about 92% in early 2025, according to analysts tracking GPU shipments. This dominance was especially clear in desktop graphics cards. Competing firms such as AMD held much smaller portions, with AMD’s share closer to 8% and Intel below 1% in the same period.
Discrete GPUs are separate from CPUs and are the main components used for high-end graphics and data-intensive tasks. NVIDIA’s rise in market share reflects strong demand for its GeForce and AI-oriented GPU lines. Many industries, from gaming to data centers, use Nvidia chips because of their computing performance.
Despite this strong market position, the rollout of the Blackwell series of GPUs faced setbacks in 2025. Industry reports noted delays and production issues related to complex design and manufacturing steps. These issues slowed initial deliveries to customers. Company leadership said the problems were fixed, but they still affected how quickly new units reached buyers.
Why Energy Use and Efficiency are Significant for GPUs
Graphics processing units are energy-intensive components. AI and data center workloads consume substantial electricity. Because of this, environmental, social, and governance (ESG) concerns are now central to technology markets.
NVIDIA acknowledges the need to improve energy efficiency and reduce emissions. The sustainability report for fiscal year 2025 shows that the company uses 100% renewable electricity for its offices and data centers. This means all the electricity Nvidia buys for those facilities comes from renewable sources, such as wind or solar.
- In product design, NVIDIA promotes energy efficiency as a key measure of sustainability.
At CES 2026, NVIDIA unveiled its new Rubin architecture for data center GPUs. The company claims the chips deliver 40% higher energy efficiency per watt compared to the previous generation.
Unlike a single chip, Rubin combines six specialized chips that work together as one unified system. This rack-level design helps handle large AI workloads more efficiently, reducing power use while boosting speed. The new platform allows large AI data centers to operate more sustainably, making it a notable step in Nvidia’s push toward “Green AI.”
Jensen Huang, founder and CEO of NVIDIA, said:
“Rubin arrives at exactly the right moment, as AI computing demand for both training and inference is going through the roof. With our annual cadence of delivering a new generation of AI supercomputers — and extreme codesign across six new chips — Rubin takes a giant leap toward the next frontier of AI.”
Key components of the Rubin platform include:
- Vera CPU – a multi-core processor that manages data flow to keep GPUs busy.
- Rubin GPU – the main AI processor with next-generation compute engines and high-speed memory.
- NVLink 6 & ConnectX‑9 – fast interconnects for rapid communication between chips.
- BlueField‑4 DPU & Spectrum‑6 switch – manage networking, security, and data traffic efficiently.
This improvement tackles worries about increased power use in AI tasks. It also helps lower emissions from data center operations. Industry leaders, including Microsoft and Google, quickly endorsed the efficiency gains.
NVIDIA has set internal goals to cut emissions and to align reductions with widely accepted climate science targets. It works with many suppliers, especially those linked to its Scope 3 emissions. This helps encourage them to adopt science-based emissions goals.
NVIDIA’s ESG Progress Under Growing Scrutiny
Investors and customers now place greater focus on ESG performance. Environmental criteria include energy consumption, emissions, and resource use. Nvidia sits among tech companies that increasingly report sustainability metrics.
In fiscal 2025, NVIDIA reported progress on its environmental goals. This includes using more renewable energy and improving efficiency. These efforts do not yet translate directly into a formal net-zero emissions commitment for all scopes of greenhouse gases.
- SEE MORE: NVIDIA Posts Over $46B Revenue in Q2 But Stock Slides, Balancing Record Profits with Green Goals
However, they reflect measurable progress. The company’s renewable energy targets and supplier engagement aim to reduce its emissions footprint over time.
At the same time, critics highlight areas where NVIDIA’s broader impact remains unclear. Some assessments say large chipmakers need to improve supply chain emissions. They should also adopt more energy-efficient production methods. These factors are part of an ongoing discussion among investors and sustainability groups.
Using renewable electricity, improving energy efficiency in products, and tackling supplier emissions are key steps. They help NVIDIA reduce direct and indirect climate impacts from its operations. As AI and high-performance computing grow, these sustainability efforts may shape long-term industry standards.
AI Demand, Competition, and the Future of GPUs
NVIDIA’s strong market position affects the tech and semiconductor industries in many ways. The GPU sector supports not only gaming but also AI, cloud computing, scientific research, and automated systems.
NVIDIA is not just a leader in desktop GPUs. Analysts say its influence also covers AI accelerators in data centers. The company holds over 80% of the AI hardware market. This success relies heavily on its architecture and software ecosystem.
The Rubin architecture strengthens NVIDIA’s competitive position in AI hardware. The new 40% better energy efficiency attracts hyperscalers and large enterprises that want high performance without high power use. Analysts believe this may strengthen Nvidia’s lead in AI accelerators. It also helps address ESG concerns about energy use.
Elon Musk, founder and CEO of xAI, remarked:
“NVIDIA Rubin will be a rocket engine for AI. If you want to train and deploy frontier models at scale, this is the infrastructure you use — and Rubin will remind the world that NVIDIA is the gold standard.”
In data centers, NVIDIA reported strong revenue growth driven by demand for AI computing. Blackwell and other GPU families contributed heavily to this trend.
However, the company relies on third-party manufacturing and complex supply chains. This means production challenges can affect future performance. Continued competition from AMD and other firms may also reshape market share over time.
The strong demand for AI processing power has energy and environmental implications beyond NVIDIA alone. Data centers worldwide are expected to grow in electrical demand as AI workloads expand.
Researchers estimate that data centers could account for about 2% of global electricity use in 2025. This highlights how crucial energy-efficient hardware and renewable energy are for the industry.
What NVIDIA’s Dominance Means Going Forward
NVIDIA’s ability to end 2025 with a 92% discrete GPU market share highlights its technological leadership. It also reflects strong demand for AI and graphics hardware in computing markets. The Blackwell launch issues have shown how production challenges can affect schedules, but demand has remained resilient.
At the same time, NVIDIA’s sustainability actions reveal how ESG and environmental issues are increasingly part of how technology companies operate and compete. Renewable energy use, energy efficiency, and emissions-reduction efforts are not only regulatory or investor concerns. They influence product design and operational planning as energy use grows in AI and data center environments.
The post NVIDIA Controls 92% of the GPU Market in 2025 and Reveals Next Gen AI Supercomputer appeared first on Carbon Credits.
Insetting program design starts with your supplier map. The carbon claim comes much later.
Consider a coffee procurement team that funds a farm intervention before checking its sourcing data. The supplier aggregates coffee lots from several regions. The buyer lacks farm-level traceability. Another purchaser expects to report the same outcome. A more attractive project brochure solves none of these problems.
If the distinction between a value-chain intervention and a purchased credit is still open, read CCC’s Insetting vs Offsetting guide before you set the brief.
Insetting program design begins with the purchasing relationship and works outward. You need to decide 1) where an intervention belongs, 2) what business problem it addresses, 3) who pays for it, 4) how results will be measured, and 5) what the evidence will let you say about them. This five-step playbook turns that sequence into a procurement plan.
Step 1: Insetting program design starts with supplier mapping
Start with the commodities that matter most to your Scope 3 inventory and sourcing continuity. Ask finance for spend by supplier, sustainability for the emissions baseline, and category managers for origin and volume records. Then identify which suppliers can trace material to a jurisdiction, sourcing region, producer group, or individual land-management unit.
The level of traceability affects what you can account for. Under the GHG Protocol Land Sector and Removals Standard, the spatial boundary for purchased land-based products depends on the traceability associated with each volume. Farm-specific factors or removals require physical traceability through an acceptable chain-of-custody model. A contract with a tier-one trader, by itself, does not establish a link to the farms behind its deliveries.[1]
Build a first-pass table with five columns: commodity and annual volume; supplier and origin; current traceability level; land-use and production risks; and the business owner who can change the purchasing terms. Mark missing data plainly. A blank cell is cheaper to fix before a program starts than after a claim is drafted.
If your company sets an SBTi Forest, Land and Agriculture target (FLAG), keep its land-related target boundary separate from energy and industry emissions. The current FLAG guidance also requires relevant companies to assess primary deforestation-linked commodities in their value chains.[2]
Step 2: Choose a commodity and jurisdiction for a pilot
Select one supply corridor where the sourcing connection can be established and procurement has a reason to stay. A useful pilot has repeat purchases, suppliers willing to share records, an intervention matched to a diagnosed problem, and a defined plan to measure the result. Carbon potential alone is a poor selection rule if the supplier cannot deliver the crop your business needs.
Compare candidate regions on land-use risk, supplier concentration, local rights and tenure, the availability of baseline data, and exposure to drought, erosion, or forest conversion. Check the relevant legal requirements separately. A nature project does not satisfy a due-diligence obligation merely because it has a carbon method attached.
Consider a coffee buyer sourcing from two districts. In the first, producer-group records identify the farms, while recent dry seasons have increased rejected green coffee lots. In the second, deliveries pass through several intermediaries and farm origins are unknown. Pilot shade management in the first district, with local agronomic advice and quality checks built into the plan. The buyer can trace purchases there and test the intervention against a defined sourcing problem.
Use a short decision memo to record why the selected corridor beats the alternatives, what remains uncertain, and what would stop the pilot. That memo is the first control against a project drifting toward whatever happens to photograph well.
Step 3: Design the supplier engagement and commercial model
The intervention needs an owner on each side of the contract. Decide who supplies planting material or training, who maintains the practice, who bears the cost if a harvest disappoints, and how long the buyer expects to purchase from participating suppliers. Where smallholders participate, budget cash flow and technical support for practices that offer a later return.
Put these terms in a supplier agreement or pilot addendum. It should cover eligible farms and volumes, consent to data collection, access for monitoring, any land or carbon rights that matter, benefit sharing, and what happens if the purchasing relationship ends. Ask local counsel and producer representatives to review the arrangement. The Accountability Framework is a useful reference for supply-chain work involving forests, ecosystems, and human rights.[3]
Avoid assigning an automatic carbon benefit to the buyer. The contract should say which party has the right to report each outcome, how overlapping claims will be checked, and how any issued credits will be handled. A reduction reported in a buyer’s inventory cannot simply be sold for someone else’s offset claim without an accounting review. SBTi FLAG guidance excludes purchased credits used as offsets from near-term FLAG target achievement.[2]
Set commercial measures beside environmental ones: delivered volume, rejection rate, supplier retention, and procurement cost. They tell you whether the program works as a supply-chain investment, even if carbon accounting takes longer to resolve.
Step 4: Build monitoring, reporting, and verification before rollout
Agree on the baseline and data flow before paying for a full rollout. Identify the land units or sourcing regions in scope, the practices that change, the records suppliers already keep, and the additional measurements the program requires. Decide which data can come from field visits, transaction records, or remote sensing, and who checks each source.
For carbon, separate three questions. Did the practice happen? Did emissions or removals change under an applicable method? Can the buyer attribute a defensible share to its purchased goods without double counting? The GHG Protocol’s 2026 guidance includes dedicated chapters on spatial boundaries, data and methods, evaluating actions, credited outcomes, and assurance.[1] These are distinct jobs. A photograph of a planted tree answers only part of the first.
CCC’s MRV and Additionality article explains the separate evidence questions a project reviewer will ask.
Create an evidence file for every reporting period: dated supplier and farm records, purchase volumes, methods and emission factors, uncertainty, quality checks, and changes from the baseline. Specify who can challenge the data and how corrections are recorded. If a project also seeks credit certification, keep project accounting and corporate inventory accounting separate. The GHG Protocol says its land standard focuses on entity-level inventories and does not set the rules for credit certification.[4]
Start with the minimum viable measurement design that can survive review. Add complexity when the pilot tells you which data actually changes a decision.
Step 5: Decide what can be reported and claimed
Insetting program design needs reporting rules before the marketing copy. Procurement, sustainability, finance, and legal should agree on four distinct outputs: operational performance; observed land or nature outcomes; inventory effects, if the accounting criteria are met; and any separately issued credits. One dashboard can display them, but they should not share a single unqualified headline.
SBTi FLAG guidance allows certain land-based removals within a company’s operations or supply chain to contribute to FLAG pathways, subject to criteria including permanence, traceability, data quality, and allocation. It does not allow purchased offsets to meet near-term FLAG targets.[2] Eligibility therefore depends on evidence and the applicable target rules, not on calling an activity “insetting.”
Draft a claims register. For each proposed sentence, record the period, boundary, data owner, calculation method, reviewer, and whether the result is measured, estimated, or still a goal. If the evidence supports only “we funded a pilot with 200 farms,” say that. Do not turn a funding fact into a verified emissions reduction.
What good looks like by year three
Treat year three as a review point, not a promised payback date. A mature pilot should have mapped participating supply volumes, a stable supplier agreement, a repeatable data collection process, and a comparison of commercial and environmental results against the baseline. It should also have a documented answer for outcomes that cannot be included in the buyer’s inventory.
Scale only where the pilot improves a sourcing decision and the evidence can follow the product. If neither condition holds, redesign the intervention or change the corridor. A disciplined program can conclude that a site is unsuitable. That is useful procurement intelligence.
Discuss your insetting program with CCC
Carbon Credit Capital designs nature-based supply chain investments around sourcing needs and measurable sustainability outcomes. Schedule a consultation with our carbon and sustainability experts to map your tier-one supplier network, FLAG exposure, and first pilot decision.
Sources
[1] GHG Protocol, Land Sector and Removals Standard, version 1.1, and companion Guidance, June 2026: https://ghgprotocol.org/land-sector-and-removals-standard ; https://ghgprotocol.org/land-sector-and-removals-guidance
[2] Science Based Targets initiative, Forest, Land and Agriculture Science-Based Target-Setting Guidance, version 1.2, March 2026, especially pp. 16–17, 37, and 41: https://sciencebasedtargets.org/resources/files/SBTiFLAGGuidance.pdf
[3] Accountability Framework initiative, Accountability Framework and guidance for companies: https://accountability-framework.org/
[4] GHG Protocol, Frequently Asked Questions: Land Sector and Removals Standard, questions 10 and 18: https://ghgprotocol.org/blog/frequently-asked-questions-land-sector-and-removals-lsr-standard
Nature-based carbon investments deserve consideration when they address a specific business dependency and produce outcomes you can measure. Imagine Moonbucks, a global coffee roaster planning next season’s espresso blend. It is considering natural Grade 4 coffee from Jimma, in southwestern Oromia, Ethiopia. Its sourcing decisions affect the roasting schedule and the cash tied up in coffee purchases. Moonbucks needs to understand which measures could protect that supply, what they would cost and how it would judge the results.
1. Define the sourcing problem before choosing a project
Moonbucks needs a dependable component for its espresso blend. Its procurement team wants continuity of volume and an agreed cup profile. Replacing a shipment at short notice could require new sample approval and changes to the blend, and given the schedules for cultivation, processing, and freight delivery, is practically impossible. Moonbucks needs to get this right, and its initial concern is inconsistent deliveries. It commissions an assessment of the supplying farms and post-harvest chain. The questions cover land condition, harvest availability and whether drying or storage problems are affecting saleable lots.
This distinction changes the investment brief. A tree-planting proposal cannot be assumed to fix drying problems. Better storage cannot restore eroded land. The team must establish which problem exists before selecting the response.
CCC’s guide to finding nature-based solutions in your supply chain explains where to look. Here, the next task is to turn a broad concern into a testable proposal.
2. Develop nature-based carbon investments around the actual supply chain
The assessment would trace Moonbucks’ purchases back through the exporter and supplying producer groups. Which farms supply the contracted lots? Who controls land-management decisions? How long does the buyer expect to maintain the purchasing relationship?
Furthermore, Jimma natural Grade 4 cannot be treated as interchangeable with every Ethiopian coffee. Moonbucks would need to test any substitute against its own blend and quality requirements.
Suppose Moonbucks’ assessment identifies an opportunity to maintain shade trees and restore vegetation along exposed streambanks. The IPCC describes agroforestry as a way to store carbon in vegetation and soil, with potential benefits for erosion control and water quality.1 Moonbucks would need local advice on species, growing conditions and maintenance before deciding how these measures fit its sourcing plan.
The proposal now has a defined sourcing connection and a candidate intervention. The next steps are to test its effect on production, assess carbon eligibility and build the financial case.
3. Compare the proposal with other ways to protect supply
WBCSD’s Nature-based Solutions Blueprint recommends comparing nature-based options with other responses across their benefits and costs.2 For Moonbucks, that means evaluating the landscape proposal alongside drying improvements, storage controls and alternative sourcing arrangements.
The product’s natural-process designation matters. Moonbucks should examine the drying and dry-milling chain alongside land conditions. Its team would check storage practices, contamination risks and incoming-lot quality to see whether problems arise before or after the coffee leaves the farms.
The revised proposal might combine land stewardship with separate post-harvest controls. Each component needs its own purpose and budget. A sustainability label should not obscure which activity is expected to solve which problem.
The project develops as the evidence improves. Its scope should follow the diagnosis rather than preserve the first idea unchanged.
4. Establish what the carbon outcome could count toward
Moonbucks’ sustainability team now tests the proposed carbon case separately from the sourcing case. Is the objective a measurable change in Moonbucks’ value-chain emissions, verified credits for separate voluntary use, or distinct outcomes under carefully defined arrangements?
Scope 3 covers value-chain emissions. A purchasing relationship alone does not prove that a farm intervention can be included in Moonbucks’ inventory. The team needs an applicable accounting method, defensible boundaries and evidence supporting attribution.
SBTi’s FLAG Guidance (forest, land and agriculture), version 1.2, says purchased credits used as offsets cannot meet near-term FLAG or energy and industry targets. Eligible land-based removals are subject to accounting requirements.3 Moonbucks needs to test its proposal against those rules before including an outcome in its targets.
For Moonbucks’ Jimma proposal, maintaining existing trees and establishing new vegetation could involve different carbon questions. Specialists must examine the baseline and additionality, meaning what changes because the project proceeds. They must also assess measurement and the risk that stored carbon is lost. CCC’s MRV and additionality article introduces those tests.
Until that work is complete, Moonbucks should not budget an assumed Scope 3 reduction or credit-sale receipt. Direct emissions reductions remain the priority.
5. Build a financial case that survives weaker assumptions
Moonbucks’ finance team would now build a multi-year budget. UNEP’s State of Finance for Nature 2023 compares current finance with the investment needed to meet climate, biodiversity and land-restoration goals.4 The company would cost its proposed activities, farmer participation and ongoing monitoring. Verification, where required, is a separate expense. Maintenance and responsibility for replacing failed plantings must remain visible after the initial establishment budget ends.
Operational benefits need equally careful treatment. If fewer rejected lots reduce emergency purchasing, count that saving once. Do not add “supply resilience” as another financial benefit when it represents the same avoided cost.
Moonbucks should compare a base case with slower benefits, higher implementation costs and no carbon revenue. It should also distinguish production outcomes from quality and shipment outcomes. A single good harvest would not prove that the landscape intervention caused better delivery performance.
A project can remain worth funding even when its carbon case needs more work. That decision must rest on the operational evidence and the company’s objectives, without unsupported environmental claims.
6. Fund a pilot with a clear expansion decision
Moonbucks’ first approval would fund a bounded pilot, rather than commit the entire sourcing program. Before spending, Moonbucks would agree on participating farms, responsibilities and the evidence needed at review.
Its scorecard could track farmer participation, implementation costs and plant survival, alongside accepted coffee volumes and lot-quality results. Carbon measurements would follow the selected method. Farm-level traceability must connect the intervention to the actual sourcing relationship.
Suppose Moonbucks’ review later finds that storage changes explain most quality improvements, while the land measures need longer observation. Those findings would shape the next decision: expand the proven component, adjust the landscape work or pause further spending. They would not justify crediting all improvements to tree planting.
This gives nature-based carbon investments a practical place in a multi-year strategy. Funding increases as the evidence supports it, and the project can change direction before a larger commitment.
Discuss a sourcing opportunity with CCC
Carbon Credit Capital’s nature-based supply-chain investment service uses its Dual-Value Model to examine supply-chain economics alongside potential sustainability outcomes.
Schedule a consultation to discuss your sourcing exposure and the questions to resolve before allocating capital.
Sources
- Intergovernmental Panel on Climate Change (IPCC), Climate Change 2022: Mitigation of Climate Change, Chapter 7, Agriculture, Forestry and Other Land Uses, section 7.4.3.3 (Agroforestry).
- World Business Council for Sustainable Development (WBCSD), Nature-based Solutions Blueprint, 5 June 2024.
- Science Based Targets initiative (SBTi), Forest, Land and Agriculture Science-Based Target-Setting Guidance, version 1.2, March 2026, section 3.1.4, pp. 37–38.
- United Nations Environment Programme (UNEP), State of Finance for Nature 2023, 2023.
A plastic credit funds the collection of plastic waste in places where no formal system exists to collect it. Each credit represents a measured, independently audited quantity of plastic taken out of the environment or returned to use, tracked on a public registry.
