---
title: "RTX A6000 rental in Uzbekistan: early access | UZ Dynamics"
description: "NVIDIA RTX A6000: early access by request; availability, form factor pending. 48 GB GDDR6 · 0.77 TB/s · NVLink bridge."
url: "https://uzdynamics.ai/en/gpus/rtx-a6000"
lang: "en"
image: "https://uzdynamics.ai/en/gpus/rtx-a6000/opengraph-image/card?f08c4f789845417d"
alternates:
  ru: "https://uzdynamics.ai/ru/gpus/rtx-a6000"
  uz: "https://uzdynamics.ai/uz/gpus/rtx-a6000"
  en: "https://uzdynamics.ai/en/gpus/rtx-a6000"
---

> 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 RTX A6000 rental: early access

Ampere · Workstation (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.

RTX A6000

[Request RTX A6000](https://uzdynamics.ai/en/request?source=gpu-page%3Artx-a6000&gpu=rtx-a6000)

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

- **Memory per GPU:** 48 GB GDDR6
- **Memory bandwidth:** 0.77 TB/s
- **GPU interconnect:** supports an NVLink bridge for 2 GPUs

## NVIDIA RTX A6000 specifications

- **Architecture:** Ampere
- **Announced:** 2020
- **Memory:** 48 GB
- **Memory type:** GDDR6
- **Memory bandwidth:** 0.77 TB/s
- **FP32:** 38.7 TFLOPS
- **FP16/BF16, dense:** 154.8 TFLOPS
- **FP8, dense:** none
- **FP4, dense:** none
- **FP64:** not in NVIDIA’s card specs NVIDIA’s whitepaper gives FP64 on the GA102 chip as 1/64 of FP32.
- **FP64 Tensor Core:** none NVIDIA’s whitepaper: GA102 has no FP64 Tensor Core acceleration.
- **RT cores:** yes
- **NVENC/NVDEC:** NVENC 1, NVDEC 2
- **MIG:** none
- **GPU interconnect:** supports an NVLink bridge for 2 GPUs
- **Power (TDP/TGP):** 300 W
- **Form factor:** Workstation (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 RTX A6000 form factor is still being confirmed. Specs from NVIDIA’s official materials, checked 26 September 2026.

## The RTX A6000 by workload

- Inference: LLMs up to 14B in BF16 on one GPU
- Fine-tuning: QLoRA up to 32B, LoRA up to 14B on one GPU
- Training from scratch: models up to 1B on one GPU
- Rendering: scenes up to 32 GB
- FP64 computing: not suited to this GPU

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

## Servers with the NVIDIA RTX A6000

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%3Artx-a6000&gpu=rtx-a6000&count=more)

## Sources

- [NVIDIA RTX PRO Blackwell GPU Architecture (v1.1), Table 4](https://www.nvidia.com/content/dam/en-zz/Solutions/design-visualization/quadro-product-literature/pdf/NVIDIA-RTX-Blackwell-PRO-GPU-Architecture-v1_1.pdf)
- [NVIDIA RTX A6000 Datasheet](https://www.nvidia.com/content/dam/en-zz/Solutions/products/workstations/nvidia-rtx-a6000-datasheet.pdf)
- [NVIDIA Ampere GA102 GPU Architecture](https://www.nvidia.com/content/PDF/nvidia-ampere-ga-102-gpu-architecture-whitepaper-v2.1.pdf)
- [NVIDIA Video Encode and Decode Support Matrix](https://developer.nvidia.com/video-encode-decode-support-matrix)
- [NVIDIA Newsroom, November 18, 2020 (Q3 FY2021 results)](https://nvidianews.nvidia.com/news/nvidia-announces-financial-results-for-third-quarter-fiscal-2021)

## Similar GPUs

- [NVIDIA RTX 6000 Ada Generation](https://uzdynamics.ai/en/gpus/rtx-6000-ada)
  48 GB GDDR6 · 0.96 TB/s · PCIe 4
  RTX 6000 Ada leads on 3 of 4 metrics. RTX 6000 Ada has more FP32 (91.1 vs 38.7 TFLOPS) and FP16/BF16 (364 vs 154.8 TFLOPS). Equal: memory size.
- [NVIDIA L40S](https://uzdynamics.ai/en/gpus/l40s)
  48 GB GDDR6 · 0.86 TB/s · PCIe 4
  L40S leads on 3 of 4 metrics. L40S has more FP32 (91.6 vs 38.7 TFLOPS) and FP16/BF16 (362.05 vs 154.8 TFLOPS). Equal: memory size.

## 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)
- [L4](https://uzdynamics.ai/en/gpus/l4)
- [RTX 6000 Ada](https://uzdynamics.ai/en/gpus/rtx-6000-ada)
- [RTX A5000](https://uzdynamics.ai/en/gpus/rtx-a5000)

[Request RTX A6000](https://uzdynamics.ai/en/request?source=gpu-page-end%3Artx-a6000&gpu=rtx-a6000)

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

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