---
title: "Rent RTX A5000 — $0.149/hr Cloud GPU Pricing (2026) | LowCostGPU"
description: "Rent the RTX A5000 (24 GB GDDR6) from $0.074/hr interruptible or $0.149/hr on-demand — fixed, ≥30% below market. 31 GPUs in 4 regions, per-second billing."
url: https://lowcostgpu.com/gpu/rtx-a5000
last_modified: 2026-10-20T10:29:15+00:00
prices_as_of: 2026-10-19
site: LowCostGPU (lowcostgpu.com)
---

Workstation · Ampere · launched 2021 · prices checked 2026-10-19

# Rent NVIDIA RTX A5000 — 24 GB, $0.149/hr on-demand

- VRAM 24 GB GDDR6
- FP16 tensor 111 TFLOPS
- PowerScore 78 RTX 3090 = 100
- Configs 1–4× PCIe 4.0
- Online now 31 4 regions

[On-demand (guaranteed) $0.149 /GPU-hr ≈ $109/mo · market ~~$0.21~~ (−30%)](https://cloud.lowcostgpu.com/?gpu=rtx-a5000) [Interruptible $0.074 /GPU-hr flat −50% · pausable, disk kept](https://cloud.lowcostgpu.com/?gpu=rtx-a5000&type=spot) [Reserved 3 mo $0.096 /GPU-hr −35% · capacity held for you](https://lowcostgpu.com/products/reserved)

Billed per second, price locked at deploy. Storage $0.08/GB/mo · bandwidth $0.01/GB — [the whole fee schedule](https://lowcostgpu.com/pricing). Next weekly market re-check: 2026-10-26.

Workstation · Ampere architecture

The RTX A5000 combines 24 GB of ECC GDDR6 with a 230 W blower design that survives weeks of sustained load in a chassis. It is the reliability pick for long computer-vision training queues and multi-day render jobs at 4090-class VRAM.

Workstation silicon with ECC memory and studio-certified drivers. Renderers (Blender, Octane, Redshift), CAD and simulation get the large VRAM they want without paying datacenter-flagship rates — and per-second billing suits render queues perfectly.

## NVIDIA RTX A5000 specs: VRAM, TFLOPS, bandwidth

- **GPU model**: NVIDIA RTX A5000 · **Architecture**: Ampere (2021)
- **VRAM**: 24 GB GDDR6 · **Memory bandwidth**: 768 GB/s
- **FP16 tensor perf.**: 111 TFLOPS · **FP32 perf.**: 27.8 TFLOPS
- **CUDA cores**: 8,192 · **TDP**: 230 W
- **PowerScore ((RTX 3090 = 100))**: 78 · **PCIe generation**: Gen 4.0
- **Multi-GPU**: 1× – 4× · **Max instance storage**: 8,000 GB NVMe
- **Network up to**: 10,000 Mbps · **CUDA**: 12.4 – 13.0

Bandwidth, CUDA cores, TDP and FP32 are public NVIDIA figures; FP16 tensor is the dense (non-sparsity) number. Machine-level values come from live inventory.

## RTX A5000 price per hour: on-demand, interruptible, reserved

One public rule sets every price on this page: the marketplace median for the RTX A5000 ($0.21/hr, snapshot 2026-10-19) × 0.70, rounded down — so on-demand is $0.149, **30% below market**. Interruptible halves it; a 3-month reservation takes another 35% off.

| Mode | Per GPU-hour | Per day (24 h) | Per month (730 h) | What you get |
| --- | --- | --- | --- | --- |
| **On-demand** | $0.149 | $3.58 | $109 | Guaranteed capacity, price locked at deploy, stop anytime |
| **Interruptible** | $0.074 | $1.78 | $54 | Flat −50%; may pause under capacity pressure, disk kept, auto-requeue |
| **Reserved (3 months)** | $0.096 | $2.30 | $70 | −35% on on-demand, rate locked for the term, capacity held |

Per GPU: an 4× machine costs exactly 4× — no multi-GPU premium. Estimate a full month with storage and bandwidth in the [GPU cost calculator](https://lowcostgpu.com/calculator).

## What you can run on a RTX A5000 (24 GB VRAM)

With 24 GB of GDDR6, a single card holds a **~8B-parameter LLM in FP16** or up to **~32B parameters quantized to 4-bit**, with room for KV-cache at practical context lengths. Scale to 4× GPUs on one machine for bigger models or bigger batches — the per-GPU price stays $0.149.

- Recommended for [computer vision](https://lowcostgpu.com/use-cases/computer-vision) — YOLO11 epochs from $0.09
- One-click template: [Linux Desktop on a RTX A5000](https://lowcostgpu.com/templates/linux-desktop)
- One-click template: [ComfyUI on a RTX A5000](https://lowcostgpu.com/templates/comfyui)
- One-click template: [Ubuntu Desktop VM on a RTX A5000](https://lowcostgpu.com/templates/ubuntu-desktop-vm)
- Sizing help: [LLM VRAM requirements guide](https://lowcostgpu.com/guides/llm-vram-requirements)

## RTX A5000 availability by region

31 × RTX A5000 across 6 machines, live from inventory:

- Singapore
- Chicago, IL
- Montréal
- Stockholm

## RTX A5000 vs alternatives: price per TFLOP

| GPU | VRAM | FP16 | On-demand | $ / TFLOP-hr |
| --- | --- | --- | --- | --- |
| **RTX A5000** (this card) | 24 GB | 111 | $0.149 | $1.34‰ |
| [RTX 4000Ada](https://lowcostgpu.com/gpu/rtx-4000ada) | 20 GB | 107 | $0.136 | $1.27‰ |
| [Titan RTX](https://lowcostgpu.com/gpu/titan-rtx) | 24 GB | 65 | $0.122 | $1.88‰ |
| [Q RTX 8000](https://lowcostgpu.com/gpu/q-rtx-8000) | 48 GB | 65 | $0.178 | $2.74‰ |
| [RTX PRO 4000](https://lowcostgpu.com/gpu/rtx-pro-4000) | 20 GB | 150 | $0.187 | $1.25‰ |

‰ = dollars per 1,000 TFLOP-hours of FP16 — a rough value-for-compute yardstick across cards.

## Renting a RTX A5000: frequently asked questions

**How much does it cost to rent an NVIDIA RTX A5000 per hour?**

$0.149 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $0.21. Interruptible capacity costs $0.074/hr and a 3-month reservation $0.096/hr. Around $109/month if you keep one running non-stop, billed per second.

**What can a RTX A5000 with 24 GB VRAM run?**

In LLM terms, roughly a 8B-parameter model in FP16 or up to ~32B parameters 4-bit quantized on a single card, with context headroom. Multi-GPU instances (up to 4× on current inventory) multiply that; diffusion and rendering workloads fit comfortably at this VRAM class.

**Is the RTX A5000 available to rent right now?**

Yes — 31 GPUs across 6 machines in 4 regions are listed as we render this page. Configurations go from 1× to 4×. Deploy from the console and it is running in about 30 seconds.

**How do I deploy a RTX A5000?**

Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by RTX A5000, pick a machine and a template such as PyTorch, vLLM or ComfyUI. The same deploy is one command with the CLI: lowcostgpu launch --gpu rtx-a5000 --template pytorch.

**Why is the RTX A5000 cheaper here than on GPU marketplaces?**

We price from the public marketplace median and fix our on-demand rate at least 30% below it, rounded down. The price is re-checked weekly (next check 2026-10-26) and published — no auctions, no per-host roulette, no bidding.

---

*About LowCostGPU:* LowCostGPU (lowcostgpu.com) is a cloud GPU rental service offering 83 NVIDIA GPU models — from the Tesla P4 at $0.019/hr to the B300 — at fixed prices set at least 30% below the public GPU marketplace median and re-checked weekly (H100 SXM: $1.680/hr on-demand). Billing is per second with no minimums; payment is crypto only (USDT, BTC, XMR, ETH, SOL, LTC, TRX) with no KYC. Instances run in Tier-III datacenters across 32 regions with a 99.9% uptime SLA and deploy in about 30 seconds from the web console (cloud.lowcostgpu.com) or the REST API.

Source: https://lowcostgpu.com/gpu/rtx-a5000 · Site index for AI assistants: https://lowcostgpu.com/llms.txt · Full content: https://lowcostgpu.com/llms-full.txt
