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Dedicated GPUs · Monthly · Crypto

Rent a dedicated H100, H200, A100 or L40S by the month, paid in crypto with no KYC

An H100 SXM costs $1,352 for a full month here, prepaid and flat. Running RunPod’s H100 SXM around the clock at $3.49 an hour comes to about $2,548 over 730 hours, so an always-on model saves roughly $1,196 a month with us. Sign up with a username and a password, fund one USD balance in BTC, XMR, USDT, USDC, ETH, SOL, LTC or TRX, and that same balance pays for per-token API calls and your GPU month.

Get started

Create your account now; check each model on /status before topping up. Dedicated GPUs: activation date confirmed before you pay.

No KYC step

Username and password, at signup and at GPU checkout. No email, phone, ID document or card.

Six GPU configurations, one flat monthly price each

Prepaid monthly

Pick a configuration, choose the model to deploy and pay one month from your balance. Each price covers reserved inference capacity with no per-token charges on that machine.

L40S

48 GB · GPU memory

$416 / per monthRent this GPU

A100

80 GB · GPU memory

$792 / per monthRent this GPU

H100 SXM

80 GB · GPU memory

$1,352 / per monthRent this GPU

H200

141 GB · GPU memory

$1,832 / per monthRent this GPU

2 × H100

160 GB · GPU memory

$2,568 / per monthRent this GPU

8 × H100

640 GB · GPU memory

$9,736 / per monthRent this GPU

Multi-GPU memory is the total across the GPUs. What fits depends on the model, its precision, context length and concurrency; the operator confirms it in your quote.

Dedicated GPU rates on the pricing page

What the monthly price buys

A WeightsAPI dedicated GPU is reserved inference capacity for one model you choose. The operator deploys it, checks the fit and hands you the endpoint. From that activation date the machine is yours for one month with no per-token charge, so a busy month costs exactly what a quiet one does.

The rental ends one month after activation and never renews on its own, so a forgotten GPU cannot drain your balance.

Need root to run your own stack? A raw GPU server suits you better. Want a model served without operating the machine? Create a username account and order here.

Why rent your GPU from WeightsAPI

A flat month that undercuts hourly billing for always-on work

An H100 SXM is $1,352 a month, or $1.85 an hour across 730 hours. RunPod lists its H100 SXM at $3.49 an hour and DeepInfra its H100 at $2.20, so a model serving traffic all day costs less here, and you know the bill in advance. See the monthly comparison.

One balance for tokens and GPUs

The credit you top up pays per-token requests on 15 open-weight models and prepays dedicated GPUs. Keep spiky or experimental work on per-token billing and move steady traffic to your own machine, with no second account or payment route. DeepInfra also sells both, but documents funding through Stripe Checkout. Browse the 15 models.

No identity check, and a clear record policy

Signup asks for a username (3 to 32 characters) and a password (at least 15): no email, phone, ID document or card, and nothing more at GPU checkout. RunPod tells crypto payers to complete any required KYC verification before their first payment. No KYC is not anonymity: orders, payments and usage are recorded against your account. See exactly what is asked and recorded.

Nine crypto options, no platform deposit fee

Top up in BTC, ETH, XMR, SOL, LTC, TRX, USDT on TRON or Ethereum, or USDC on Ethereum. The USD amount is fixed for 10 minutes, credited within about a minute once the network confirmations are reached, and you pay only the network fee, so a Monero-funded H100 month is an ordinary order. See every asset and confirmation count.

Your month starts at activation, not at payment

Provisioning never eats into the time you paid for. Cancel before activation and the rental payment returns to your WeightsAPI balance, ready for tokens or another GPU. Read the rental terms.

Dedicated GPU prices and terms at a glance

WeightsAPI dedicated GPU configurations and prices, checked 25 September 2026
ConfigurationGPU memoryPrice per monthHourly equivalent (÷ 730 h)
L40S48 GB$416$0.57
A10080 GB$792$1.08
H100 SXM80 GB$1,352$1.85
H200141 GB$1,832$2.51
2 × H100160 GB total$2,568$3.52
8 × H100640 GB total$9,736$13.34
Terms that apply to every dedicated GPU order
ItemWhat applies
Price and unitUSD per month, prepaid; no per-token charges on the machine
MinimumOne month per order; USD 20 per crypto top-up
Rental periodOne month from activation; no automatic renewal
AvailabilityCreate your account now; check each model on /status before topping up. Dedicated GPUs: activation date confirmed before you pay.
ActivationOperator confirms hardware, model fit, region and timing, then supplies the endpoint
PaymentFrom confirmed balance at checkout; a top-up does not pay the order automatically
Crypto assets and networksBTC, ETH, XMR, SOL, LTC, TRX, USDT (TRON or Ethereum), USDC (Ethereum)
FeesNo platform deposit fee; network fees apply
Crediting delayCredited within about a minute once the network confirmations are reached (BTC 1 to SOL 32)
KYC scopeNo email, phone, ID or card; account required; payment and order records kept; late or different-amount transfers go to review
Not included by defaultShell access, backups, failover, autoscaling
CancellationBefore activation: refund to your balance. No wallet withdrawals
RegionsConfirmed per order; no region choice or data-residency commitment

Which catalog models fit which GPU

GPU memory must hold the weights plus the attention (KV) cache for your context and concurrency. The table shows weight size at 16-bit and 8-bit (billions of parameters × 2 or × 1 byte) and the smallest configuration with headroom. The operator confirms the final fit before activation.

Planning guide: weight memory per catalog model and a starting configuration (our arithmetic, weights only)
ModelParametersWeights at 16-bitWeights at 8-bitStart the quote with
Llama 3.1 8B8B16 GB8 GBL40S
Mistral Small 3, Dolphin Mistral 24B Venice Edition, Gemma 3 27B, Qwen3 32B24B to 32B48 to 64 GB24 to 32 GBL40S at 8-bit; A100 or H100 at 16-bit
Llama 3.3 70B, Hermes 4 70B70B140 GB70 GBH200 at 8-bit; 2 × H100 at 16-bit
Qwen3-Coder-Next80B (3B active)160 GB80 GBH200 at 8-bit
Mistral Small 4119B238 GB119 GB2 × H100 at 8-bit
Mixtral 8×22B141B282 GB141 GB8 × H100
Qwen3 235B A22B235B (22B active)470 GB235 GB8 × H100
DeepSeek V4 Flash284B (13B active)Mixed FP4/FP8 release—8 × H100, on quote
Llama 3.1 405B405B810 GB405 GB8 × H100 at 8-bit
DeepSeek V3, DeepSeek R1671B + 14B MTP—About 685 GB (FP8 release)Per-token API

DeepSeek V3 and R1 show why one balance matters: their FP8 weights exceed our largest 640 GB configuration, so they stay on per-token billing while a 24B to 70B model runs on your own GPU.

Monthly vs hourly: an always-on GPU, as of 25 September 2026

Hourly clouds bill only while a machine runs; we bill a flat month, so we multiplied each published hourly rate by 730 hours. H100 figures are SXM for WeightsAPI, RunPod and Lambda; DeepInfra and BTCServers list “H100”. Lambda’s rates exclude tax.

Cost of one month (730 hours) of continuous GPU use, as of 25 September 2026. Hourly rates × 730 are our calculation; a dash means not published or not verified.
ConfigurationWeightsAPI (monthly)RunPod Secure CloudLambda on-demandDeepInfraBTCServers (monthly)
L40S 48 GB$416$795.70 ($1.09/h)———
A100 80 GB$792$1,160.70 ($1.59/h)$2,036.70 ($2.79/h, 8-GPU instances)—$690
H100 80 GB$1,352$2,547.70 ($3.49/h)$3,131.70 ($4.29/h)$1,606.00 ($2.20/h)$1,190
H200 141 GB$1,832$3,350.70 ($4.59/h)—$1,963.70 ($2.69/h)—
2 × H100$2,568$5,095.40$6,117.40 ($4.19 per GPU-hour)$3,212.00—
8 × H100$9,736$20,381.60$23,301.60 ($3.99 per GPU-hour)$12,848.00—

Where the flat month wins: any machine that runs around the clock. We are below RunPod, Lambda and DeepInfra on every configuration where we found a published rate; an 8 × H100 month is $9,736 here against about $20,382 at RunPod and $12,848 at DeepInfra.

Where hourly wins: short or bursty jobs. Our H100 month equals 387 hours at RunPod’s rate and 615 at DeepInfra’s; below that, pay by the hour. RunPod and Vast.ai bill per second, which suits batch jobs.

Where BTCServers wins: raw hardware price. It is also no-KYC and crypto-paid, and lists an H100 at $1,190 and an A100 80 GB at $690 a month as servers you operate yourself. Pick it if you want to run the machine; pick WeightsAPI for a model deployed for you and one balance that also pays per-token calls.

Payment and identity by provider, as of 25 September 2026
ProviderCryptoIdentity checkBilling
WeightsAPINine options incl. XMR; no platform deposit feeNone in the current flowMonth, prepaid
RunPodVia integrated processorsAny required KYC before first crypto paymentPer second
LambdaNot verifiedNot verifiedPer GPU-hour
DeepInfraNot stated (Stripe Checkout)Not statedPer GPU-hour
BTCServersBTC, XMR, LTC, ETH, USDT and three more“No KYC, no card, no name”Hourly or monthly
Vast.aiVia BitPay and Crypto.comNot verifiedPer second, live marketplace

Before you pay: straight answers

Total cost? The monthly price is the whole machine charge: no per-token fees, no platform deposit fee, no renewal. Add only the network fee. A top-up of $1,352 or more covers an H100 month; any remainder stays usable for tokens or a later order, though credit cannot be withdrawn to a wallet.

Why USD 20 per top-up? Every configuration costs more than that, so the minimum never blocks a rental, and balances below USD 20 stay usable after your first qualifying top-up. To test tokens with a few dollars, a micro-deposit aggregator fits better.

Is capacity guaranteed? Capacity is finite, so the operator checks hardware, region, model fit and timing for each order before activation, and your month starts only then. No standard delivery time is published: leave a buffer before a launch, and if the timing does not suit you, cancel before activation to move the payment back to your balance.

Payment pitfalls? Wait for confirmed credit, then pay the order from your balance. Send the exact amount on the network shown: late or different amounts go to review, and wrong-network transfers cannot be recovered.

What is recorded? Username, key hashes, usage, charges, payment details (asset, network, address, transaction) and GPU order details, including dates and endpoint. Full list on trust and security.

What can I rely on? There is no SLA, service credit or failover, so keep a fallback for critical traffic. What limits your exposure is the structure: the month starts at activation, cancelling before activation refunds your balance, and nothing auto-renews. Read the service conditions and your model’s license.

Our recommendation

Choose a WeightsAPI dedicated GPU if one open-weight model serves traffic most of the day and you want a fixed monthly bill; you pay in XMR, BTC, USDT or another listed asset without KYC; you want the model deployed for you; or you want one balance for tokens and GPUs.

Look elsewhere if your GPU runs only part of the day (under about 387 hours a month against RunPod, 615 against DeepInfra); you need root, containers or training; you need an SLA, failover or autoscaling; you want the cheapest raw H100 or A100; or you need a machine within hours.

What to do now: create a username account and store the recovery code offline, pick a configuration from the fit table, top up from USD 20 (see billing), then place your order; your month starts only on the activation date the operator confirms.

Reserve a GPU month from one crypto balance

Username, password, recovery code: that is the whole signup. Top up from USD 20 in BTC, XMR, USDT, USDC, ETH, SOL, LTC or TRX, then order an L40S to 8 × H100 from the same balance that pays for tokens.

Dedicated GPU rental: FAQ

Short answers to what buyers ask before renting.

Can I rent an H100 and pay with crypto?

Yes. Top up your WeightsAPI balance in BTC, ETH, XMR, SOL, LTC, TRX, USDT or USDC, at least USD 20 per top-up with no platform deposit fee, then pay the GPU order from that balance at checkout.

Is there a GPU rental with no KYC?

Yes. WeightsAPI’s current account flow asks only for a username and a password: no email, phone, ID document or card at signup or GPU checkout. Orders and payments are still recorded against your account.

Is it cheaper than RunPod for a full month?

For continuous use, yes. RunPod lists the H100 SXM at $3.49 an hour, about $2,548 for 730 hours, against $1,352 here. Below about 387 hours of use a month, RunPod’s hourly rate costs less.

When does my GPU become active?

Once the operator has confirmed hardware, model fit, region and timing and supplied your endpoint. Your prepaid month starts on that activation date, not on the day you pay. No standard delivery time is published, so plan a buffer.

Do I get SSH or root access?

Not by default. The rental is reserved inference capacity for the model you choose, deployed by the operator. Shell access, backups, failover and autoscaling are not included by default.

Which GPU do I need for a 70B model?

Llama 3.3 70B or Hermes 4 70B needs about 140 GB for weights at 16-bit, so 2 × H100 (160 GB) is the starting point. At 8-bit, about 70 GB, an H200 with 141 GB leaves room for long contexts.

What happens if I cancel, or when the month ends?

Cancel before activation and the rental payment returns to your WeightsAPI balance, not to a wallet. The rental ends one month after activation with no automatic renewal; place a new order to continue.