Rent Your GPU for AI: How Much You Actually Earn in 2026

The real earnings are usually 30–65% lower than the headline figures suggest. Electricity, depreciation, platform fees, and bandwidth costs consume a significant share of gross revenue, and month-one earnings are typically only 30–40% of steady state because platforms rank providers by reputation and uptime history. This guide breaks down what you can actually earn, which platforms are worth your time, and why your electricity rate matters more than your GPU model.

How GPU Rental Works (and Why It's Different from Bandwidth Sharing)

GPU rental is the compute equivalent of renting out a spare room. You install a software agent — typically a Docker container — on your machine. That agent connects your GPU to a cloud marketplace where AI developers, researchers, and companies rent compute by the hour.

Unlike bandwidth-sharing apps, where you have no visibility into what traffic passes through your connection, GPU rental is workload-focused. You are not routing unknown traffic. You are processing AI training or inference jobs, and the platform handles the client relationship. The risk profile is different: less legal exposure than bandwidth sharing, but more hardware wear and tear.

The economics are driven by a simple imbalance: demand for GPU compute massively exceeds supply. Industry reports indicate that AI companies are on track to spend over $600 billion on infrastructure in 2026, and NVIDIA has reportedly reduced gaming GPU production by 40% to prioritize datacenter chips. Enterprise GPU wait times stretch to months. This means even consumer GPUs sitting idle in gaming PCs can generate meaningful revenue.

Real Earnings by GPU Model: What Hosts Actually Keep

The headline rates you see on GPU rental platforms are gross revenue — before subtracting electricity, depreciation, platform fees, and bandwidth costs. Here is what the numbers look like after the hidden costs are factored in.

The RTX 4090 example is instructive. A single RTX 4090 can net $52 per month after electricity, depreciation, and platform fees at typical utilization rates. The gross rate is $0.40–$0.80 per hour, but the net is a fraction of that. Vast.ai's public calculator shows that at $0.37/GPU/hr with 65% utilization, a single RTX 5090 produces $255 per month in host earnings — but that figure includes storage earnings ($79) and bandwidth ($3), and it assumes near-constant availability.

A four-GPU RTX 5090 rig running at 80% utilization can generate $700–$1,400 per month according to Vast.ai's calculator. That is the upper end of what a consumer setup can realistically achieve. For most individual hosts running a single GPU in a gaming PC, the realistic range is $50–$150 per month.

What About Datacenter Cards?

H100s and H200s bring in $2.15–$4.00+ per GPU-hour. Clore.ai advertises around $1,170 per month net per H100 card before staking bonuses. But the hardware cost is $25,000–$30,000 per card, and the break-even period at $2.50/hr rental is roughly 14,000 GPU-hours — about 19 months at full utilization.

Platform Comparison: Where to Host Your GPU

Four platforms dominate the consumer GPU rental market in 2026. Each has a different fee structure, payout method, and renter base. The right choice depends on your hardware, your tolerance for token exposure, and how much you value a large pool of renters.

Vast.ai has the largest daily job volume of the three major marketplaces. If you want the highest chance of your GPU being rented regularly, Vast is the safest bet. The 15% platform fee is in the middle of the pack, and the $20 BTC/USD payout threshold is reasonable. Onboarding takes 1–2 days because Vast verifies host bandwidth and machine reliability before opening the job flow. The downside: the "Interruptable" tier drops host effective earnings by 20–40% compared to On-demand.

RunPod offers the highest host share at 93% after the 7% fee, and pays out in USD via Stripe Connect — which matters if you want fiat currency in your bank account without converting crypto. The downside is a smaller renter pool, since RunPod's Secure Cloud eats most of the enterprise traffic. The $50 minimum payout is also the highest on this list.

io.net pays in IO tokens, which introduces price exposure. The platform has implemented an Incentive Dynamic Engine to stabilize provider payouts in USD terms, but the token price risk remains. io.net's advantage is co-staking, where third parties can stake on your device and share block rewards. If you are comfortable with crypto exposure and want to participate in the DePIN ecosystem, io.net is worth exploring.

Clore.ai has the lowest fees (1.8% spot, 5% on-demand after Proof of Holding) and pays per-minute in BTC, USDT, USDC, or CLORE. The RTX 5090 listing page shows a net of around $354 per month per card before staking bonuses, with a maximum of $453/month if you stake CLORE. The per-minute billing means earnings credit to your wallet every 60 seconds, and there is no withdrawal cap.

Hidden Costs: Where 30–65% of Your Revenue Goes

The gross hourly rate is not your take-home. Here is the real profit formula:

Monthly Net Profit = (Hourly Rate × Hours/Day × 30 × Utilization%) − Monthly Electricity Cost − Monthly GPU Depreciation − Platform Fee (15–25% of gross)

Electricity: The Single Biggest Variable

Electricity is the most important factor in GPU rental profitability. At $0.08/kWh (Texas, Midwest US), an RTX 4090 generates comfortable margins. At $0.30/kWh (Germany, UK), the same GPU is likely unprofitable after accounting for all costs.

A GPU running at full load draws 300–450 watts depending on the model. Running 24/7 at 80% utilization, that is roughly 250–350 kWh per month. At $0.10/kWh, that is $25–$35 per month in electricity. At $0.30/kWh, it is $75–$105. The difference between a profitable host and an unprofitable one is often a matter of where they live.

Depreciation: The Invisible Cost

Datacenter GPUs typically operate for at least five years physically, but their economic lifespan averages two to four years. Consumer GPUs depreciate faster. A $2,000 RTX 4090 that earns $52 per month net takes roughly 16 months to break even on hardware cost alone — and by that point, the card may have lost 30–50% of its resale value.

Reselling decommissioned GPUs can recover 10–20% of the original cost, which mitigates some of the depreciation. But if you are renting out a GPU you use for gaming or work, you are trading convenience and availability for rental income, and the wear and tear adds up.

Bandwidth and Platform Fees

Bandwidth costs are usually minor — Vast.ai's calculator shows $3 per month for a single RTX 5090. Platform fees are more significant: 7–20% depending on the provider. If you are earning $100 per month gross, a 15% fee takes $15. That is not catastrophic, but it is worth factoring in.

Do You Have the Right Setup? Hardware Requirements

Not every GPU is worth renting out. Before investing time in setup, check whether your hardware meets the minimum requirements.

The single biggest profitability factor is electricity cost. If your rate is above $0.30/kWh, GPU rental is unlikely to be profitable after all costs. If your rate is below $0.10/kWh, even a mid-range GPU can generate meaningful margins.

Vast.ai requires at least 10 Mbps per machine, with 100+ Mbps recommended for data-intensive tasks. The platform also requires three direct open ports for verification. You do not need a residential IP — datacenter connections are accepted, though residential IPs may have access to a broader range of renters.

Taxes on GPU Rental Income

In the US, UK, Canada, and Australia, GPU rental income is taxable. The treatment depends on whether you are operating as a hobbyist or a business.

• United States: The IRS generally treats GPU rental income as self-employment income if you earn more than $400 per year. You must report it on Schedule C and pay self-employment tax. Deductible expenses include electricity, depreciation, platform fees, and a portion of your internet bill.
• United Kingdom: HMRC treats GPU rental income as miscellaneous income. If you earn under £1,000 per year, the trading allowance covers it. Above that, you must declare. Hardware depreciation may be claimed as a capital allowance.
• Canada: The CRA treats GPU rental income as business income or capital gain depending on frequency. If you are renting regularly with profit intent, it is business income reported on T2125. The CRA expects you to track all income and expenses.
• Australia: The ATO requires earnings to be declared as assessable income. The ATO has publicly indicated increased scrutiny of the sharing economy, including compute-sharing platforms. Deductions for electricity, depreciation, and platform fees are available.

If you are earning consistently, keep records of your gross revenue, electricity costs, platform fees, and hardware purchase price. Consult a tax professional if you are unsure how to classify your activity.

Frequently Asked Questions

How much can I really earn renting my GPU?

For a consumer card like the RTX 4090 or RTX 5090, realistic net earnings are $50–$150 per month for a single GPU, assuming electricity below $0.15/kWh and 12+ hours of daily availability. A four-GPU rig can reach $700–$1,400 per month at 80% utilization. Datacenter cards earn far more, but cost $25,000+.

Which platform pays the most for GPU hosting?

RunPod has the highest host share at 93%, but the smallest renter pool. Vast.ai has the largest renter pool but keeps 15%. Clore.ai has the lowest fees (1.8% spot) and per-minute payouts. For most hosts, Vast.ai is the best balance of volume and payout.

Is GPU rental worth it after electricity costs?

It depends entirely on your electricity rate. At $0.08–$0.12/kWh, consumer GPUs can generate comfortable margins. At $0.30/kWh or above, most consumer GPUs are unprofitable after all costs. The break-even point is roughly $0.15/kWh for most cards.

Can I rent out my gaming GPU while I sleep?

Yes, and that is the intended model. Most hosts run their GPUs during idle hours — overnight, during work, or whenever the machine is not in use. The key is consistency: platforms rank providers by uptime and reliability, so irregular availability reduces your earnings and your ranking.

Do I need a dedicated machine to rent out my GPU?

No, but it helps. You can rent out a GPU in your daily-driver PC, but the agent may interfere with gaming or other workloads when a rental is active. A dedicated rig with its own power supply, cooling, and network connection gives you more control and better reliability scores.

What happens if my GPU fails during a rental?

You are responsible for hardware failures. Platforms may penalize hosts for downtime or failed jobs. If your GPU crashes mid-rental, the renter may request a refund, and your reliability score will drop. This is one of the risks of renting out hardware you depend on.

Is GPU rental income taxable?

Yes, in the US, UK, Canada, and Australia. The treatment depends on whether you are operating as a hobbyist or a business. Deductible expenses typically include electricity, depreciation, and platform fees. Consult a tax professional for your specific situation.

Bottom Line

Renting out your GPU for AI workloads is a legitimate way to generate passive income from hardware you already own — but the real earnings are modest for consumer cards, and the profitability hinges almost entirely on your electricity rate. An RTX 4090 at $0.10/kWh can net around $52 per month after all costs.

The platforms are mature: Vast.ai for the largest renter pool, RunPod for the highest host share, Clore.ai for the lowest fees and per-minute payouts, and io.net for token exposure and co-staking. Each has trade-offs. The hidden costs — electricity, depreciation, platform fees — consume 30–65% of gross revenue, and month-one earnings are typically only 30–40% of steady state.

If your electricity is cheap, your GPU is recent, and you can keep it available for most of the day, GPU rental can produce $50–$150 per month with minimal ongoing effort. If any of those conditions are missing, the math does not work. Check your electricity rate first — it matters more than the GPU model.