List your NVIDIA A10 on Clore.ai. The hyperscaler-reference inference card books steady on-demand from teams running production APIs that already validated on AWS g5 / GCP G2 — they want the exact same silicon, just cheaper. Net around $155/month per card before MFP staking, paid per-minute in BTC, USDT, USDC or CLORE. Stake CLORE for up to +200% daily emission.
If you've got a A10 — or a whole rack of them — you've already paid for the silicon, the power contract, the rack space. Clore turns that capex into per-minute revenue in your choice of crypto, no sales calls, no minimum commitment.
API platforms with reference deployments validated on AWS g5 / GCP G2 won't substitute random GPUs — they want the exact A10. List one and you capture that direct hyperscaler-substitute demand, with MIG-partitioned multi-tenant inference filling the rest of the card's capacity.
Earnings credit to your wallet balance every minute the rental runs. Withdraw to BTC, USDT, USDC or CLORE as often as you want — no daily caps.
One A10 in a closet, or up to 192 servers per account onboarded via API. Same console, same fees, same flow.
Stake some CLORE behind your machine and the network pays you a daily bonus on top of every rental — about half of what the renter pays you, again in CLORE. Skip it and you still get paid the normal way; this just stacks more on.
Per-minute, in BTC / USDT / USDC / CLORE. Withdraw any time.
Activated by staking CLORE behind your machine. Paid daily, on top of normal earnings.
Clore takes a small cut of every rental. Half is paid by you, half by the renter — so the number below is the full marketplace fee, not what comes out of your pocket.
You pay 1.25%, the renter pays the other 1.25%. Hold CLORE to cut your share even more.
You pay 5%, the renter pays the other 5%. Hold CLORE to cut your share even more.
// Want the full breakdown of fee reductions and edge cases? Read the fee docs →
All numbers below assume a A10 listed at $0.24/hr. Real numbers depend on demand, your price, and your power costs.
List your card, accept rentals. No CLORE required, no setup beyond the host software. Get paid per minute.
Hold CLORE in your wallet — no lock, no contract. Your half of the marketplace fee drops by up to 50%.
Stake CLORE behind your server to unlock a daily network bonus on top of your rental — adds about half your rental income again, paid in CLORE.
// Numbers are a rough monthly estimate, not a guarantee — bonus depends on competition. Full host guide →
A Linux box, the Clore hosting software, a stable internet connection. One A10 or a tier-3 facility — same flow.
Boot from the Clore Linux image (USB or PXE). Pair the host with your account using your initialization token.
Configure SSH, Docker, and per-card settings. Flip the server to public when it passes the auto-attestation.
List both, or just one. Adjust live — the floor for A10 48GB spot is $0.22 / hr right now.
Lock 34,000 CLORE for Tier 1 (or up to 170,000 for Tier 2). 24 h warm-up, then up to +200% rental price as daily rewards.
A10 has more raw FP16 throughput (124 TFLOPS vs 121) and the same 24 GB VRAM. L4 is much more power-efficient (72 W vs 150 W) and Ada-class with FP8. A10 is the AWS/GCP standard — better choice if you need MIG or are matching a hyperscaler reference setup.
Inference-tier cards (T4, L4, L40S, A10) clear 65-80% utilization on average, well above the 60% network-wide floor, because ML platforms running 24/7 serving traffic do not behave like bursty training jobs. L40S leads the tier because FP8 supply is tight in 2026; T4 stays high through sheer cost-per-request demand. Expect steadier monthly revenue than consumer cards.
T4 is cheap to acquire (often under $400 used in 2026) and earns roughly $135/mo at 70% utilization - payback in 3 months. A10 and L4 cost more upfront but earn $155-$260/mo on Ada-class throughput and FP8 demand. L4 wins on power-efficiency at 72 W. ROI ranking by months-to-break-even varies with second-hand prices in your region.
All four inference cards (T4, L4, L40S, A10) ship with NVIDIA video encoders - L4 has dedicated AV1 NVENC, T4 has H.264/HEVC. NVENC is enabled by default in the host agent; transcoding renters (FFmpeg pipelines, OBS, Twitch infrastructure) find your listing via the standard marketplace filters. No extra setup.
L40S pulls 350 W at full load and earns roughly $647/month gross at typical utilization. At $0.10/kWh that's about $25/mo in electricity, leaving $620+ net before any MFP staking bonus. The card is profitable in any region with electricity under $0.30/kWh. Datacenter operators with sub-$0.05/kWh rates capture the spread.
A10 does not support MIG. A100 (40GB and 80GB) supports up to 7 MIG instances per card - enable it via nvidia-smi mig commands and the host agent will list each slice as a separately rentable GPU. Multi-tenant MIG hosting is the standard cloud-style pattern: more concurrent renters, smaller VRAM per slice, higher aggregate revenue.
24 GB Ampere at 150 W with MIG — the AWS/GCP-equivalent inference card for hyperscaler-reference deployments.
Reference card on AWS g5 / GCP G2 — deploys with the same Triton/vLLM configs as production hyperscaler stacks.
Read the guide →Hard memory isolation for SaaS multi-tenant inference — each tenant gets a dedicated GPU slice.
Read the guide →Edge ML video analytics pipeline — inference + encode on a single 150 W card.
Read the guide →Side-by-side specs across the inference tier. Click any row to see that GPU.
Read the host onboarding guide, MFP staking mechanics, and marketplace fee schedule.
Rent one by the minute from $0.16/hr. Spin up in 90 s with full SSH + Docker.
List your card, pick spot or on-demand, and start collecting per-minute earnings in BTC, USDT, USDC, or CLORE. Lock MFP whenever you're ready.