[Reference page]() # L40S: 48 GB for your inference pipeline. Give your inference pipeline more room. Kernodeck offers the NVIDIA L40S 48GB for rent, with 48 GB per GPU to hold weights, inputs, and temporary state when 24 GB becomes too tight. Expect 63.43 USD for 1 batch of 1 GPUs over 3 days, depending on your application's compatibility with Ada. - 48 GB on one card - Ada depending on your CUDA stack - One plan for the period you choose [Configurer the L40S · 7 days]() At Kernodeck, no ID and no KYC process on this GPU rental path. Account required: first name, last name, email and password; that does not mean anonymity. Location NVIDIA L40S 48GB Keep your application on a card with a 48 GB memory budget. ## Key facts | Fact | Detail | | --- | --- | | Your configuration | NVIDIA L40S 48GB : 1 batch of 1 GPU, 48 GB per GPU. | | Your plans | 3 days: 63.43 USD ; 7 days: 148.00 USD ; 30 days: 520.00 USD. USD price for the entire batch, including all its cards. | | Availability | 74 declared batches. Declared quantities per model in the offers. They do not reserve future availability or a delivery date. Hosting country and served region to be confirmed before purchase if your project requires them. | | No KYC | At Kernodeck, no ID and no KYC process on this GPU rental path. Account required: first name, last name, email and password; that does not mean anonymity. | | Setup | Ubuntu, PyTorch, Blender or a custom request. Versions, CPU, RAM, storage, network and access mode to be confirmed per project; their inclusion is not implied by the GPU model. | | Pricing and terms | USD amounts for the lot and the entire period. Tax status and any fees to be confirmed in the applicable terms. | ## Available plans Total price in USD for one lot and the full period. Memory is shown per GPU; declared stock is expressed in lots. | Model | Memory per GPU | GPUs per lot | Duration | Lots | Total price | Declared stock in lots | Status | Configuration | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | [NVIDIA L40S 48GB]() | 48 Go | 1 | 3 days | 1 | 63.43 USD | 74 | The full batch for 3 jours. | [Configure this plan]() | | [NVIDIA L40S 48GB]() | 48 Go | 1 | 7 days | 1 | 148.00 USD | 74 | The full batch for 7 jours. | [Configure this plan]() | | [NVIDIA L40S 48GB]() | 48 Go | 1 | 30 days | 1 | 520.00 USD | 74 | The full batch for 30 jours. | [Configure this plan]() | | [NVIDIA GeForce RTX 4090 24GB]() | 24 Go | 1 | 7 days | 1 | 110.00 USD | 265 | Compare the 7-day budget and the memory per card. | [Configure this plan]() | | [NVIDIA H100 SXM 80GB]() | 80 Go | 1 | 7 days | 1 | 475.00 USD | 63 | Compare the 7-day budget and the memory per card. | [Configure this plan]() | ## Choose the L40S for your whole pipeline. Your application pairs a model with images or video, or keeps state across multiple requests. The L40S deserves a place in your selection if everything fits within 48 GB and your libraries support Ada. This capacity is useful when your limit comes from the application's allocations, beyond just the model's weights. To compare your input formats and concurrency settings, the 7-day plan costs 148.00 USD for 1 batch of 1 L40S. Define the expected results of this series before choosing the period. You are renting GPU capacity for your software; managing an interactive service and its latency targets remain to be defined with your application. - [Set up my L40S for 7 days]() - [Compare batch and interactive inference]() - [Observe my processing pipeline]() ## Position your needs between 24 and 80 GB. If your complete application fits within 24 GB, compare the RTX 4090: its plan costs less than the L40S's in the Kernodeck catalog. The L40S's extra capacity is worthwhile if your scenario uses it, for example for its inputs or temporary state. If 48 GB becomes the limit, look at the H100 SXM at 80 GB per GPU and whether your dependencies support Hopper. This step up can avoid splitting solely because of memory. It does not remove the need to price out the plan and verify your full run. - [Go back to 24 GB with the RTX 4090]() - [Examine the H100 SXM's 80 GB]() - [Compare the budget for the three capacities]() ## Your plan, payable directly in crypto. Pay for your Kernodeck rental directly in crypto, with no mandatory top-up: BTC on Bitcoin and USDT on Tron (TRC-20), among others. The process requires neither an ID document nor a KYC procedure; an account with first name, last name, email and password is required, with no promise of anonymity. - [Compare the eight accepted assets and networks]() ## Test the pipeline, not just the model For a multimodal application, choose files that represent your usage: varied formats, dimensions and durations. Time reading, preparation, computation and export. A CPU decoding or transformation step can limit the whole process even when the GPU finishes its part quickly. Also define what constitutes a valid output: number of results, format, dimensions and association with the input. You will get a measurement that is useful for deployment rather than an isolated compute time. ## Leave headroom in 48 GB Set aside space for inputs and temporary states in addition to the weights. For a service that handles multiple requests, increase concurrency gradually and watch the memory peak. Test a single large file and several ordinary files separately; the two cases can produce different constraints. Validate the PyTorch/CUDA stack and the media libraries you actually use. The L40S does not offer NVLink: to scale across multiple cards, plan for software that explicitly distributes the work without assuming unified memory. ## Choose according to the application path The L4 at 24 GB is worth a try if your model and inputs fit. The RTX 6000 Ada also offers 48 GB and can be compared when your project combines computation and visualization tools. If your memory needs exceed this capacity, look at the 80 GB offerings before complicating your partitioning. ## A plan to validate your service Spend 3 days on the minimal pipeline, 7 days on difficult formats and concurrency tests, or 30 days on a repeated campaign with archived configurations. Keep the examples that revealed an error: they will become your regression tests. Choose your setup, the lots and the duration, then complete the order details. You manage your software and processing independently; Kernodeck does not inspect the content of your files, prompts or computations. The crypto transfer is then reported via “I’ve paid”. ## Questions before purchase ### What is the price of an L40S for my campaign? A batch includes 1 L40S with 48 GB. The full plan costs 63.43 USD for 3 days, 148.00 USD for 7 days, or 520.00 USD for 30 days. The choice depends on the period your project needs, without inferring a guaranteed number of requests from the price. ### Do 48 GB make the L40S relevant for a multimodal application? They make it a candidate when weights, prepared images or videos, and temporary state all fit together within this capacity. Also check your media libraries and your CUDA stack. Memory capacity alone does not describe decoding time or the throughput of the full pipeline. ### Should I choose the L40S rather than the RTX 4090? Choose the L40S first if your need exceeds 24 GB but stays within 48 GB. If your application already fits within 24 GB, the RTX 4090 deserves comparison for its lower budget. Then choose based on compatibility and measurements from your own application. ### Can I rent multiple L40S GPUs to get a single large memory pool? Each L40S keeps its own 48 GB. Multiple batches do not automatically create a shared memory space; your software must distribute the work explicitly. If your need is first and foremost to exceed 48 GB on a single card, compare an 80 GB offering like the H100 SXM. ## Choose and configure - [Organize your service’s requests]() - [Observe the entire processing pipeline]() - [Compare with 24 GB on the L4]() - [Consider the RTX 6000 Ada]() - [Compare GPU plans]() - [The eight accepted crypto pairs]()