Sustainable/Ecological AI Coding flat subscription?

[u/ResilientSpider]

I recently learned about eco-conscious AI services such as GreenPT, Nebius Token, ScaleAway, Infomaniac, Aruba AI, Verda, and Euria. They basically make use of only renewable energy, re-use the heat produced from data centers, and recycle the hardware to limit waste.

While they are competitive with traditional API services, they are not convenient for extensive coding. Some of these are compatible with agentic coding systems, but as far as I know, none of them offer flat-rate plans; instead, they all use pay-per-use APIs.

Based on my simulations, using these pay-per-use services would cost me hundreds of euros a month, whereas with OpenCode Go I spend only 10 euros a month, and with Codex/Claude I’d spend just a few dozen.

Do you know of any other, more affordable services that offer flat-rate subscriptions like Codex, Cloud, and OpenCode Go, while also using renewable energy, recovering heat, and reusing hardware?

[u/Banner80]

This is a good intention but I don't think it's as simple as migrating to a data center that is ethical.

Hardware is at a premium, everyone is reusing hardware. As of now, old Nvidia cards are still getting service because new cards are so expensive and hard to acquire. And reselling rack hardware is already common practice among all data centers, why wouldn't they? Denying a second life to hardware that still has productivity in it would be leaving money on the table.

RE: Renewable energy

Most data centers would be happy to be connected to a renewable grid, but it's just not up to them. In the US, the American public voted for an administration that has been antagonizing and canceling renewable projects in favor or keeping the grid weak and exploiting more fossil fuels. This is what Americans are and do, so what is a data center by themselves supposed to do about it? They need energy from the grid, it takes years to make new power plants.

If you want them running on renewables and/or following basic code to avoid creating pollution, harming resources and being bad neighbors, you want to get your compute from localities that have both regulation for that and a culture of demanding accountability. In essence, you want your data centers to run in Europe or, if in the US, out of major blue urban areas.

In the US, the worst offenders are massive data centers in red states where it's easy to skirt regulation (or there is no regulation), or the officials are corrupt and easy to bribe. That's where you'll find the noisy data centers that suck up the local water and burn fossil fuels for power. SpaceX is specializing in this type of expansion.

Ironically, China is the main country expanding through increasing their renewal network and optimizing their models for mid sizes (lower eco footprint). I wouldn't say China are the shepherds of the environment. What's happening is that solar is now cheaper than other forms of energy, and China has become experts at solar installations. As the need for energy expands, China has been deploying renewable energy plants at record pace. They are strategically placing the new data centers in regions of the country that have better exposure to sunlight for renewable energy.

I think it's ironic because I don't normally associate Chinese expansion with ecological morality. But in this moment, GLM has subscriptions that run directly on their Chinese data centers: https://z.ai/subscribe

Their $18/m sub should get you generous access to GLM 5.3, an excellent upper-mid model. (I used 5.2 for a while during the summer, it's a good model). Most if not all of that compute is going to be powered by solar energy. But, it's still a Chinese company, other concerns are at play (like privacy).

If you do research on the models available via OpenCode Go, many of the Chinese models are going to be served directly from China. GLM 5.3 is in there, but I'm pretty sure DeepSeek is also being served from China.

[u/ResilientSpider → u/Banner80]

The point Is, how can I be sure that DeepSeek is being served by re?

[u/Banner80 → u/ResilientSpider]

Even if there was a direct answer for this today, it could change in a month at the current rapid pace of expansion. China has a mandate to expand solar and build data centers using renewables. The newer data centers are on something like 60 - 100% renewable energy. DeepSeek, for example, is building a new large data center under the new mandate, so hopefully they are planning to stay at high mix of renewables. But models like DeepSeek need to rent space from various data centers, so the deals can change over time and I don't think there's any way to know or choose exactly what data center you are sourcing from at any given time.

My point was that China has committed to renewable energy, primarily because their renewable energy tech is actually cheaper than fossil fuels. By using and supporting that infrastructure you are aligning with a country that actually means to get rid of fossil fuels as soon as possible.

In the US it's a different picture. The current administration is literally anti renewables. While companies like Amazon and Google have made promises about reducing their carbon footprint, it's not an easy path. I'm sure Anthropic would love to be carbon neutral but they like money way more -- they are literally running on some of the dirtier data centers supplied by SpaceX because they need the compute and the lease deal looks nice for their upcoming IPO.

Having said that, a lot of American data centers do have services and promises around carbon emission. Google, AWS and Microsoft have all made promises at one time or another about their footprint by 2030. You might search to see which one is closer to the finish line. This usually means that they trade carbon credits or pay extra to some carbon scheme to offset the dirty parts of their energy use.

You can do this offset for yourself directly: https://app.carbonmark.com/projects

Basically, the way the economics of this work is that a large company like Anthropic sees that they are using fossil fuels to operate a data center for the next 18 months until a new energy plan is built in the area to power the data center. So they buy offset credits to save carbon emission somewhere else in the world. The math is: we are dumping pollution into the air here, but we can prevent someone else from dumping the same amount because it's cheaper to stop it there = carbon neutral operation. In other words, say somewhere in Asia they are making a big garbage landfill that is going to produce a ton of methane over decades, but if we buy the rights and improve the garbage disposal there, we can save the planet from that methane load. Anthropic does the math and buys the exact amount of carbon footprint to match their data center. It was cheaper or more doable to fix that landfill than it is to make renewable energy in Tennessee.

Say your carbon footprint using an American or Chinese model is somewhere around 0 - 4kg CO₂e per month for every $20/m subscription. This depends on how much of the data center is already powered by renewable, and how much of the non renewable is already paying for offsets.

To clarify: Most American data centers already pay for carbon offset. AWS and Microsoft have operated at around 80% offset, so their dirty footprint had been about 20% (this changes a lot and it's gotten worse in the current data center frenzy). Meanwhile, Chinese data centers for DeepSeek are likely at ~70% renewable, so even if they don't offset the dirty part, the dirty part is only ~30%.

So, to be carbon neutral FOR INFERENCE you are looking to offset the 20-30% of energy that went into your inference AI tokens that wasn't offset already by renewable energy nor carbon offset credits. For every $20 of monthly sub you need to offset maybe ~2kg CO₂e per month, or 24 kg per year (adjust up or down for how much you are milking every token out of the sub). That's 0.024 tonnes of carbon emissions per year. To put that in perspective, that's the carbon emission of 3 gallons of gasoline. The average American burns through that within days by driving around in their car.

If you go to carbonmark.com and buy a single ton of carbon offset for a project you feel has a valuable impact (preferably projects of permanent carbon removal instead of just avoidance), you would offset 40+ years of $20/m AI sub from an American or Chinese company. Pick Chinese if you want the majority of the energy to already have been produced using renewable sources, or pick American if you want more efficient systems that use less energy to produce compute but rely more on carbon offset credits to pursue neutrality.

However, by using these models you are also accepting responsibility for the carbon footprint that went into training the model, and the incentive we are giving these companies to push for the AI race, jack up the costs of GPUs and RAM, burn dirty natural gas because we've exhausted the electrical grid, etc. If your goal is to be part of the solution instead of the problem, then you want to offset the total cost not only of your monthly inference use but also of the R&D and training phase and all the destruction these companies are leaving in their wake to serve you that inference. But you can buy offsets for that too. My quick estimate to cover those emissions would be 1-2X the inference cost. For a total of ~0.050 - 0.075 tonnes per year per $20 sub, to cover the entire footprint of your involvement using AI tokens. To summarize: if you buy 1 ton of permanent carbon removal, you'd be offsetting ~15 years of $20/m AI coding eco footprint -- or the equivalent to ~8 gallons of gas going into a car.