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Pro & inference · Ada Lovelace
NVIDIA L40S servers
Ada Lovelace data-center GPU with 48 GB: cost-efficient inference and graphics.
- 48 GBGDDR6 ECC per GPU
- 864 GB/smemory bandwidth
- PCIe Gen4 x16GPU interconnect
- 1–8 GPUsper server
Price per GPU · monthly
$789/mo
−31%Market median $1,139≈ $1.08 per GPU-hour
Server size
Deploy a L40S serverOnline in under 10 min · no KYC · USD per server per month, prepaid · pay in BTC, ETH, USDT, XMR, LTC
Why rent the L40S.
CryptGPU rents dedicated NVIDIA L40S servers with 1, 2, 4 or 8 GPUs at $789 per GPU per month (about $1.08 per GPU-hour), 31% below the market median, paid in Bitcoin, Ethereum, USDT, Monero or Litecoin with no KYC. The L40S is NVIDIA’s Ada Lovelace data-center GPU: 48 GB of ECC GDDR6, FP8 tensor cores, RT cores and video engines, in a PCIe card built for servers. It is a cost-efficient choice for inference of models up to about 30B parameters, diffusion and video pipelines.
- 48 GB ECC
Twice the memory of the RTX 4090, with data-center reliability.
- FP8 tensor cores
Efficient low-precision inference.
- Graphics and video
RT cores plus hardware video encode and decode.
L40S server prices, 1 to 8 GPUs.
Same price per GPU at every size. vCPU, DDR5 RAM and NVMe scale with the number of GPUs.
| Server | GPU memory | vCPU | RAM | NVMe | Market median | CryptGPU | Action |
|---|---|---|---|---|---|---|---|
| 1× L40S | 48 GB | 12 | 96 GB | 1 TB | $789/mo | Configure 1× L40S | |
| 2× L40SPCIe Gen4 x16 | 96 GB | 24 | 192 GB | 2 TB | $1,578/mo | Configure 2× L40S | |
| 4× L40SPCIe Gen4 x16 | 192 GB | 48 | 384 GB | 4 TB | $3,156/mo | Configure 4× L40S | |
| 8× L40SPCIe Gen4 x16 | 384 GB | 96 | 768 GB | 8 TB | $6,312/mo | Configure 8× L40S |
NVIDIA L40S specifications.
Figures from NVIDIA’s published specifications. Tensor figures are peak dense throughput unless marked otherwise.
GPU and memory
- Architecture
- Ada Lovelace
- Form factor
- Dual-slot PCIe card, passive
- GPU memory
- 48 GB GDDR6 with ECC
- Memory bandwidth
- 864 GB/s
- GPU-to-GPU link
- None (PCIe Gen4 x16)
- Max power
- 350 W
- Multi-Instance GPU
- Not supported
Tensor throughput (dense)
- FP8
- 733 TFLOPS
- FP16 / BF16
- 362 TFLOPS
- TF32
- 183 TFLOPS
- INT8
- 733 TOPS
- FP32
- 91.6 TFLOPS
Cores and media
- CUDA cores
- 18,176
- Tensor Cores
- 568, 4th generation
- RT Cores
- 142, 3rd generation
- Video engines
- 3 NVENC, 3 NVDEC
Server, per GPU
- vCPU
- 12
- RAM
- 96 GB DDR5
- NVMe
- 1 TB
- GPUs per server
- 1, 2, 4, 8
NVIDIA lists both dense and sparse tensor figures; dense shown. Ada Lovelace has no FP4 tensor cores.
Sources: NVIDIA L40S
Which models fit on L40S servers.
Smallest server that holds each model, by precision. Rule of thumb with headroom for the KV cache; long contexts and large batches need more.
| Model (total parameters) | FP16 | FP8 | 4-bit |
|---|---|---|---|
| Qwen3.5-9B | 1× | 1× | 1× |
| Gemma 4 31B | 2× | 1× | 1× |
| Llama 3.3 70B | 4× | 2× | 2× |
| gpt-oss-120b | 8× | 4× | 2× |
| DeepSeek-V4-Flash | — | 8× | 8× |
| Qwen3.5-397B-A17B | — | — | 8× |
| DeepSeek-R1 (671B) | — | — | — |
| Kimi K2.6 (1T) | — | — | — |
Estimate: FP16 ≈ 2.4 bytes, FP8 ≈ 1.2 bytes and 4-bit ≈ 0.65 bytes per parameter, with 92% of GPU memory usable. — = does not fit in the largest L40S server. Several recent models ship natively in FP8 or 4-bit formats; the columns show what each precision needs. Try the sizing helper for other models and for fine-tuning, or see every open model and its VRAM.
L40S rental prices across the market.
Monthly price per GPU. Public on-demand list prices collected on 23 Sep 2026; hyperscalers shown for reference only.
Per GPU, 730 hours a month. Hyperscalers (AWS, Google Cloud, Azure, Oracle) are excluded from the median. How we compare
L40S vs similar GPUs.
- NVIDIA · Blackwell RTX PRO 6000 96 GB GDDR7 ECC · 1.6 TB/s +48 GB +$170/mo $959/mo per GPU
- NVIDIA · Blackwell RTX 5090 Hot 32 GB GDDR7 · 1.8 TB/s −16 GB −$460/mo $329/mo per GPU
- NVIDIA · Hopper H100 80 GB HBM3 · 3.35 TB/s +32 GB +$990/mo $1,779/mo per GPU
Detailed comparisons: RTX PRO 6000 vs L40S · L40S vs H100 · L40S vs RTX 4090
From the blog: Best GPU for Stable Diffusion, Flux and AI video in 2026 · GPU VPS vs dedicated GPU server: what you actually get · What 40 GPU clouds charge: September 2026 market check
L40S rental FAQ.
More in the full FAQ.
How much does it cost to rent an L40S per month?
At CryptGPU, the L40S costs $789 per GPU per month, about $1.08 per GPU-hour over 730 hours and 31% below the market median of $1,139. A server with 8 GPUs costs $6,312 a month. The price is fixed for the paid month: no hourly metering, no setup fee.
Can I pay for an L40S server with Bitcoin or Monero, without KYC?
Yes. Every CryptGPU server is paid in crypto: BTC, ETH, USDT, XMR or LTC (USDT on Tron or Ethereum). There is no KYC: no ID documents, no selfie. Your server is online in under 10 minutes once the payment is confirmed on-chain. Paying with crypto
L40S or RTX PRO 6000?
The RTX PRO 6000 is newer, with twice the memory and nearly twice the bandwidth; the L40S costs less. For models under ~30B parameters in FP8, the L40S is enough.
Does the L40S support FP8?
Yes, Ada Lovelace tensor cores support FP8.
How many per server?
1, 2, 4 or 8 cards.
Build your L40S server.
Choose 1 to 8 GPUs and pay the first month in crypto. $789 per GPU, the same at every size.