Najemite GPU NVIDIA L40S na uro
The NVIDIA L40S is an Ada Lovelace datacenter GPU available for cloud rental on ONIE. It provides 45 GB of VRAM, about 73.3 TFLOPS of single-precision compute, and a memory bandwidth of about 626 GB/s within a 350 W power envelope. Supporting CUDA compute capability 8.9, this instance handles demanding AI training, inference, and graphics workloads with per-hour billing.
Specifikacije
VRAM na GPU
Arhitektura
Računska zmogljivost
Računska zmogljivost FP32
Pasovna širina pomnilnika
Omejitev moči
Vrednosti, ki jih za trenutno navedene stroje sporoča ponudnik infrastrukture; dejanska zmogljivost se razlikuje glede na stroj.
Razpoložljive konfiguracije
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Za kaj je L40S primeren
Large Language Model Inference
Deploy quantized or full-precision language models using ready templates like vLLM and Ollama within the 45 GB memory capacity.
Generative Image Workflows
Run complex diffusion pipelines and batch generation tasks in ComfyUI leveraging the Ada Lovelace architecture.
Deep Learning Fine-Tuning
Fine-tune neural networks and LoRA adapters in PyTorch/CUDA environments using about 73.3 TFLOPS of compute.
Datacenter Graphics and Rendering
Execute headless rendering and simulation tasks that benefit from a datacenter GPU with about 626 GB/s of memory bandwidth.
Ali je to pravi GPU za vas?
Choose the L40S when your workload requires 45 GB of VRAM and datacenter reliability, stepping beyond standard consumer cards. If your models fit into less memory, a smaller workstation or consumer GPU is more economical, whereas massive unquantized foundation models warrant a larger memory datacenter GPU.
Primerjajte s podobnimi GPU-ji
| GPU | VRAM na GPU | Arhitektura | Računska zmogljivost FP32 | Od / uro | Podrobnosti |
|---|---|---|---|---|---|
| L40S | 45 GB | Ada Lovelace | ≈ 73.3 TFLOPS | — | |
| RTX PRO 5000 | 48 GB | Blackwell | ≈ 69.6 TFLOPS | — | Podrobnosti |
| RTX 6000Ada | 48 GB | Ada Lovelace | ≈ 81.4 TFLOPS | — | Podrobnosti |
| RTX 6000D | 84 GB | Blackwell | ≈ 77.6 TFLOPS | — | Podrobnosti |
Pogosta vprašanja
Is the NVIDIA L40S suitable for LLM inference and fine-tuning?
Yes, with 45 GB of VRAM and CUDA compute capability 8.9, the L40S is well-suited for serving medium-to-large language models and running parameter-efficient fine-tuning. You can launch instances with pre-configured vLLM, Ollama, or PyTorch/CUDA templates.
How does the L40S compare to consumer GPUs or larger datacenter GPUs?
The L40S offers more VRAM than standard consumer Ada Lovelace cards, making it capable of holding larger model weights without offloading. However, it has lower memory bandwidth than high-memory compute-only datacenter GPUs, which are preferable for massive memory-bound training jobs.
How do I connect to and configure my L40S instance on ONIE?
You get full SSH access to your environment as soon as the instance boots. You can also select ready templates including PyTorch/CUDA, ComfyUI, vLLM, and Ollama to start working immediately.
How does billing work for the L40S?
ONIE uses per-hour billing for all L40S rentals. You only pay for the time your instance is allocated.
Najamite L40S po uri
Ustvarite račun, izberite konfiguracijo in se povežite prek SSH. Obračun se ustavi, ko izbrišete GPU.
Najamite L40S