---
title: "L4 rental in Uzbekistan: early access | UZ Dynamics"
description: "NVIDIA L4: early access by request; availability, form factor pending. 24 GB GDDR6 · 0.3 TB/s · PCIe 4. LLMs up to 14B in FP8 on one GPU (estimate)."
url: "https://uzdynamics.ai/en/gpus/l4"
lang: "en"
image: "https://uzdynamics.ai/en/gpus/l4/opengraph-image/card?f08c4f789845417d"
alternates:
  ru: "https://uzdynamics.ai/ru/gpus/l4"
  uz: "https://uzdynamics.ai/uz/gpus/l4"
  en: "https://uzdynamics.ai/en/gpus/l4"
---

> For an index of this site's pages, see [llms.txt](https://uzdynamics.ai/llms.txt). A markdown copy of each page is at its address with `.md` appended.

# NVIDIA L4 rental: early access

Ada Lovelace · PCIe (being confirmed)

We’re collecting early-access requests. We’re placing our capacity in Uzbekistan. We don’t publish prices yet. We’ll confirm availability in our reply.

L4

[Request L4](https://uzdynamics.ai/en/request?source=gpu-page%3Al4&gpu=l4)

We’ll reply with terms for your workload. Nothing to pay before the contract.

- **Memory per GPU:** 24 GB GDDR6
- **Memory bandwidth:** 0.3 TB/s
- **GPU interconnect:** PCIe 4, no NVLink

## NVIDIA L4 specifications

- **Architecture:** Ada Lovelace
- **Announced:** 2023
- **Memory:** 24 GB
- **Memory type:** GDDR6
- **Memory bandwidth:** 0.3 TB/s
- **FP32:** 30.3 TFLOPS
- **FP16/BF16, dense:** 121 TFLOPS
- **FP8, dense:** 242 TFLOPS
- **FP4, dense:** none
- **FP64:** not in NVIDIA’s card specs
- **RT cores:** yes
- **NVENC/NVDEC:** NVENC 2, NVDEC 4
- **MIG:** none
- **GPU interconnect:** PCIe 4, no NVLink
- **Power (TDP/TGP):** 72 W
- **Form factor:** PCIe (being confirmed)

Memory is specified per GPU. Multiple GPUs have separate memory: using a larger model across them requires compatible software and model partitioning. NVLink does not make them one GPU.

The L4 form factor is still being confirmed. Specs from NVIDIA’s official materials, checked 26 September 2026.

## The L4 by workload

- Inference: LLMs up to 14B in FP8 on one GPU
- Fine-tuning: QLoRA up to 14B, LoRA up to 8B on one GPU
- Training from scratch: models up to 1B on one GPU
- Rendering: scenes up to 16 GB
- FP64 computing: not suited to this GPU

An estimate from open formulas, not a benchmark or an invoice.

## Servers with the NVIDIA L4

Server configuration (CPU, RAM, disk, network) is being confirmed.

Sizing assumption: up to 8 GPUs per server. We’ll confirm the actual configuration in our reply.

[More than 8 GPUs? Discuss a cluster](https://uzdynamics.ai/en/enterprise?source=gpu-page-cluster%3Al4&gpu=l4&count=more)

## Sources

- [NVIDIA L4](https://www.nvidia.com/en-us/data-center/l4/)
- [NVIDIA L4 GPU Accelerator Product Brief](https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/l4/PB-11316-001_v01.pdf)
- [NVIDIA Ada GPU Architecture (v2.02)](https://images.nvidia.com/aem-dam/Solutions/geforce/ada/nvidia-ada-gpu-architecture.pdf)
- [NVIDIA Video Encode and Decode Support Matrix](https://developer.nvidia.com/video-encode-decode-support-matrix)
- [NVIDIA Multi-Instance GPU User Guide](https://docs.nvidia.com/datacenter/tesla/mig-user-guide/latest/supported-gpus.html)
- [NVIDIA Newsroom, March 21, 2023](https://nvidianews.nvidia.com/news/nvidia-launches-inference-platforms-for-large-language-models-and-generative-ai-workloads)

## Similar GPUs

- [NVIDIA RTX A5000](https://uzdynamics.ai/en/gpus/rtx-a5000)
  24 GB GDDR6 · 0.77 TB/s · NVLink bridge
  L4 leads on 2 of 4 metrics, RTX A5000 on 1. L4 has more FP32 (30.3 vs 27.8 TFLOPS) and FP16/BF16 (121 vs 111.1 TFLOPS). But RTX A5000 has more memory bandwidth (0.77 vs 0.3 TB/s). Equal: memory size.
- [NVIDIA L40S](https://uzdynamics.ai/en/gpus/l40s)
  48 GB GDDR6 · 0.86 TB/s · PCIe 4
  L40S leads on all 5 metrics. L40S has more FP8 (733 vs 242 TFLOPS) and FP32 (91.6 vs 30.3 TFLOPS).

Derived: half the with-sparsity FP16 figure NVIDIA gives for the RTX A5000 (222.2 TFLOPS); NVIDIA gives no dense one.

## All GPUs in the catalogue

- [B300](https://uzdynamics.ai/en/gpus/b300)
- [B200](https://uzdynamics.ai/en/gpus/b200)
- [H200](https://uzdynamics.ai/en/gpus/h200)
- [H100](https://uzdynamics.ai/en/gpus/h100)
- [A100](https://uzdynamics.ai/en/gpus/a100)
- [RTX PRO 6000](https://uzdynamics.ai/en/gpus/rtx-pro-6000)
- [L40S](https://uzdynamics.ai/en/gpus/l40s)
- [RTX 6000 Ada](https://uzdynamics.ai/en/gpus/rtx-6000-ada)
- [RTX A6000](https://uzdynamics.ai/en/gpus/rtx-a6000)
- [RTX A5000](https://uzdynamics.ai/en/gpus/rtx-a5000)

[Request L4](https://uzdynamics.ai/en/request?source=gpu-page-end%3Al4&gpu=l4)

We’ll reply with terms for your workload. Nothing to pay before the contract.

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