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Nvidia's Record-Breaking Growth Amid AI Revolution And Massive Carbon Footprint

Following Nvidia’s first-quarter earnings report, the company’s CEO Jensen Huang emphasized that it is facing overwhelming demand rather than a lull. This happens as the company transitions from its Hopper AI platform to the more advanced Blackwell system. Huang dismissed concerns about a potential slowdown in demand, stating, 

“People want to deploy these data centers right now. They want to put our [graphics processing units] to work right now and start making money and start saving money. And so that demand is just so strong.”

Surpassing Expectations with Stellar Q1 Results

For the first quarter, Nvidia reported stellar results. Adjusted earnings per share reached $6.12 on revenue of $26 billion, representing year-over-year increases of 461% and 262%, respectively. Non-GAAP operating income was $18.1 billion for the quarter. 

Nvidia expects its revenue for the current quarter to be around $28 billion, plus or minus 2%, surpassing analysts’ expectations of $26.6 billion.

Nvidia Q1 2024 financial report

Nvidia’s data center segment, crucial for AI and reliant on high-powered server farms, generated $22.6 billion or 87% of its revenue between February and April 2024. Other segments also saw growth, with gaming and visualization solutions increasing by 18% and 45%, respectively, compared to fiscal Q1 2024. However, the data center segment’s growth was extraordinary, surging 427% year-over-year, as seen below.

Nvidia revenue segment data center

In addition, Nvidia announced a 10-to-1 stock split, effective June 10 for shareholders as of June 7, and increased its quarterly dividend to $0.10 per share, up from $0.04. Following the earnings report, Nvidia’s stock rose by as much as 6% in extended trading.

Moreover, Huang highlighted the growing customer base for Nvidia chips beyond the major cloud service providers, mentioning companies like Meta, Tesla, and various pharmaceutical firms. He specifically pointed out the automotive industry as a significant user of Nvidia’s data-center chips.

Setting New Standards in Energy Efficiency

Nearly 75% of global carbon emissions stem from the production and consumption of energy, primarily due to the burning of fossil fuels for electricity. Data centers, which currently consume 460 terawatt-hours of electricity annually, contribute about 2% to this total. However, this share is expected to nearly triple to 6% by 2030 as data centers continue to expand. 

data centers carbon footprint

Improving energy efficiency in data centers is crucial for reducing their carbon footprint and mitigating their environmental impact. By adopting more efficient technologies and practices, data centers can play a significant role in lowering overall carbon emissions.

Nvidia aims to address growing concerns about AI’s monetary cost and carbon footprint by highlighting Blackwell’s energy efficiency. 

One expert at Microsoft has suggested that the Nvidia H100s currently in deployment will consume as much power as the entire city of Phoenix by the end of this year. What’s noteworthy about the new Blackwell GPU is its power efficiency, which Nvidia is now highlighting as a key selling point. 

Traditionally, more powerful chips have also required more energy, and Nvidia focused primarily on raw performance rather than energy efficiency. However, when unveiling the Blackwell, CEO Jensen Huang emphasized its superior processing speed, which significantly reduces power consumption during training compared to the H100 and earlier A100 chips. 

Huang noted that training ultra-large AI models with 2,000 Blackwell GPUs would consume 4 megawatts of power over 90 days, whereas using 8,000 older GPUs for the same task would consume 15 megawatts. This reduction translates to the power consumption of 8,000 homes compared to 30,000 homes.

Tech Titans Drive Nvidia’s AI Dominance

Undeniably, Nvidia stands at the forefront of the exploding demand for AI applications, driven by major tech giants like Tesla, Meta, Microsoft, and Alphabet. These companies’ recent management commentary underscores the significant potential for Nvidia’s business expansion in the AI sector.

Tesla’s ambitious plans to increase its Nvidia chip use by 140% highlight the critical role of Nvidia’s GPUs in training AI models for its full self-driving capabilities and upcoming robotaxi launch. This substantial investment represents a major endorsement of Nvidia’s technology by Tesla CEO Elon Musk.

Similarly, Meta’s aggressive spending to bolster its AI infrastructure aligns with CEO Mark Zuckerberg’s vision of establishing Meta as a leading AI company globally. As Meta continues to develop its large language model (LLaMA) and Meta AI chatbot, Nvidia’s chips remain integral to its AI training efforts.

Microsoft is also experiencing surging demand for AI, outstripping its available capacity. The tech giant is investing in its own AI development using OpenAI’s GPT model. However, it plans to ramp up spending to meet the growing demand, with Nvidia’s chips playing a crucial role in its cloud service offerings.

Finally, Alphabet’s substantial capital expenditures in the first quarter, primarily directed towards Google Cloud and advanced AI models, further validate the importance of Nvidia’s technology in powering AI-driven initiatives. While Alphabet uses its chip designs for certain AI tasks, it continues to rely on Nvidia chips to meet its cloud customers’ needs.

While most AI runs on renewable energy, concerns persist about water consumption for data center cooling. As AI adoption grows, renewable energy demand could outpace supply, prompting interest in expediting nuclear plant approvals, notably by Microsoft.

Overall, the overwhelming demand for AI compute presents a significant opportunity for Nvidia, reflected in its robust financial performance and soaring gross margins. And with the company’s discussion of the Blackwell GPU’s energy efficiency, it signals that the company is starting to consider AI’s sustainability.

The post Nvidia’s Record Earning Overshadow New Standard in Chip Energy Efficiency appeared first on Carbon Credits.

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Insetting vs Offsetting: Which Actually Counts Toward Your Scope 3 Targets

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The accounting differences that decide whether your nature investment shows up in inventory, in BVCM, or nowhere at all.

The question reaches a procurement team about three weeks before the next sustainability committee meeting. Someone has read about insetting. Someone else has just signed off on an offset purchase. The CSO wants to know if the two are interchangeable. The answer is no, and the GHG Protocol Land Sector and Removals Standard is the reason why.

This article walks through what each term means at audit-grade specificity, what the standards actually say about how each gets counted, and how to decide which tool fits which target. The insetting vs offsetting question is one of the most-searched in corporate climate strategy, and one of the most poorly answered. By the end of this piece, you should be able to brief a committee on the difference without notes.

The two definitions, in plain English

Offsetting means buying carbon credits generated outside your value chain and retiring them against your residual emissions. The reduction happens somewhere else, financed by you, and the credit is the receipt.

Insetting means investing in emission reductions or removals inside your own value chain, typically with suppliers, where the reduction is directly linked to the products and services you buy. The reduction happens inside the boundary of your Scope 3 inventory, and the accounting treatment is fundamentally different.

The shorthand from the University of Oxford’s Nature-based Insetting Initiative is useful: insetting is what you do with the supply chain you have; offsetting is what you do with the supply chain you do not have.

What the GHG Protocol Land Sector Standard actually says

The GHG Protocol Land Sector and Removals Standard, finalised in 2024 after a multi-year pilot, sets the rules for how land-based emission reductions and removals enter corporate inventories. The Standard distinguishes between inventory accounting (Scope 1, 2, and 3) and project or intervention accounting (a separate methodology for crediting).

For insetting, the practical implication is that supplier-level interventions, when properly measured and attributed, can reduce your Scope 3 category 1 (purchased goods and services) emissions in your inventory. The reduction is not a credit retired against the inventory; it is a lower inventory number, period.

For offsetting, the credit is retired separately. It can be reported as a contribution toward a net-zero claim under the SBTi Beyond Value Chain Mitigation framework or as part of a VCMI Carbon Integrity claim, but it does not lower the inventory number.

A practical consequence: if your Science Based Target requires a 50% absolute reduction in Scope 3 emissions by 2030, insetting moves you toward the target. Offsetting does not. This single point of difference reshapes the procurement decision.

When insetting counts toward Scope 3 (and when it does not)

Insetting counts toward Scope 3 only when several conditions are met:

  • The intervention must occur with an entity in your value chain.
  • The emissions reduction or removal must be measured against a defensible baseline.
  • The reduction must be attributed to your share of that supplier’s output, not double-counted with other buyers.
  • It must follow the inventory accounting rules in the GHG Protocol Land Sector Standard, not the project accounting rules used to generate credits.

The most common failure mode is double counting. If your supplier sells the same reduction as a credit on the voluntary market and also reports it to you as a Scope 3 reduction, the math breaks. The Standard requires you to address this risk, typically by purchasing and retiring the supplier-issued credit as part of your inventory or by contractual provisions that prevent the supplier from selling the reduction twice.

When insetting does not count toward Scope 3: when the intervention sits with a supplier you do not buy from, when the baseline is not defensible, when the attribution is unclear, or when the documentation does not survive audit. Those cases default to Beyond Value Chain Mitigation, which is still useful but operates on a different ledger.

The procurement and supplier engagement question

Insetting is harder than offsetting. That is the unfashionable truth most buyers eventually confront. Offsetting is a transaction; insetting is a relationship.

To run an insetting program, you need supplier mapping precise enough to know which farms or facilities sit at which Scope 3 boundary. You need an engagement model that gets suppliers to participate, which usually requires multi-year commitments and shared economics. You need an MRV architecture that measures the right things and produces audit-ready documentation. And you need a contractual structure that prevents double counting and protects both sides.

The trade-off you receive in return is significant. Reductions count against your inventory rather than your residual. Supplier relationships deepen, which protects sourcing continuity. Yield and quality improvements often follow regenerative interventions, which reduces your input cost over time. And the regulatory file, under CSRD, CSDDD, EUDR, and the SBTi FLAG Guidance, is materially stronger.

Choosing the right tool for the right target

A practical decision rule. If your target is a science-based Scope 3 reduction and you operate in a FLAG sector or source FLAG commodities, insetting is the structurally correct tool. If your target is a net-zero claim that includes neutralising hard-to-abate residual emissions outside your value chain, BVCM via high-integrity offsets is the structurally correct tool. Most companies with material Scope 3 exposure need both, in different proportions, sequenced over time.

The sequencing matters. Insetting takes longer to stand up but produces a permanent reduction in the inventory. Offsetting can be transacted faster but does not change the inventory and now sits under tighter claim restrictions. Treat them as complementary tools with different jobs, not as substitutes. The Accountability Framework Initiative and the IUCN Global Standard for Nature-based Solutions both provide useful guardrails for the insetting side, with biodiversity, human rights, and benefit-sharing requirements that go beyond carbon math.

If you are mapping a Scope 3 reduction roadmap and need to scope which interventions count toward your inventory versus which sit in Beyond Value Chain Mitigation, the carbon and sustainability experts at Carbon Credit Capital can help you structure a nature-based supply chain investment program that fits your FLAG exposure, your target architecture, and your audit horizon. Schedule a consultation.

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Net zero needs nature: a carbon credit guide

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Net zero is often described as a balancing act: cut what you can, account for the rest, and reach zero on the ledger. That framing is useful, but it leaves something out. It treats every tonne of carbon as interchangeable and every route to zero as equally sound, while the science tells a more specific story.

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Carbon Footprint

Deforestation in Malawi: causes and solutions

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Malawi has lost a striking share of its forests over the past three decades. Woodlands that once covered well over a third of the country now cover less than a quarter, and the pressure on what remains is increasing. Behind those figures sit two practical questions: what is driving the loss, and what reverses it?

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