workstation

Thuê Nvidia RTX 4000 Ada.

Name: Nvidia RTX 4000 Ada
Brand: Nvidia
SKU: nvidia-rtx-4000-ada

Ada Lovelace 20GB VRAM From $0.20/hr

Per hour

$0.20

Per day

$4.80

Per week

$33.60

Per month

$144

Provider spread 4 providers · up to 79% cheaper at the low end

Cheapest · $0.20/hr on RunPod Median $0.64/hr Most expensive · $0.95/hr on Spheron Network

Price history

Daily median across providers.

Where to rent it

All providers carrying this GPU.

Provider	$/hr	Range	Offers	30d trend	Updated
RunPod	$0.20/hr	$0.20/hr–$0.20/hr	1	·	5 minutes	Launch ↗
Akash Network	$0.41/hr	$0.41/hr–$0.41/hr	1	·	1 minute	Launch ↗
Sesterce	$0.87/hr	$0.87/hr–$0.87/hr	1	·	about 1 hour	Launch ↗
Spheron Network	$0.95/hr	$0.95/hr–$0.95/hr	1	·	about 1 hour	Launch ↗

AI models that fit See all 108 →

Run these on this GPU.

Qwen2.5 32B 1× · int4
DeepSeek R1 Distill Qwen 7B 1× · fp16
Llama 3.1 8B 1× · fp16

Cloud instances See all 3 →

Hyperscaler bundles.

Pre-configured on 2 clouds — from $0.87/hr total ($0.87/hr per GPU).

FAQ

Frequently asked.

What's a cloud instance bundle for the Nvidia RTX 4000 Ada?

A pre-configured VM that pairs the Nvidia RTX 4000 Ada with a fixed amount of vCPU, RAM, and SSD on a hyperscaler (AWS, Google Cloud, Azure, Oracle, Vultr, etc.). You pay one hourly rate for the whole bundle; the per-GPU rate on the table is just the bundle price divided by the GPU count.

Why is per-GPU pricing on instances different from raw GPU rental rates?

Hyperscaler bundles include managed networking, premium NVMe storage, an SLA, and 24/7 support. P2P marketplaces (Vast.ai, RunPod community, io.net) skip those line items, which is why their raw GPU rates are often 3–10× cheaper. The trade-off is reliability and integration: a hyperscaler instance plugs into your existing VPC, IAM, and observability stack out of the box.

Which hyperscaler is cheapest for the Nvidia RTX 4000 Ada?

Sort the table by the $/hr per GPU column — the lowest row is the cheapest hyperscaler today. Pricing shifts as providers re-price spot capacity and refresh quotas, so the leader can change week to week. Click Launch on a row to head to that provider's sign-up page (affiliate link, doesn't change the rate you pay).

Can I run my own image or container on these instances?

Yes. All listed hyperscalers expose standard compute APIs — bring your own AMI/image, mount custom volumes, install your own drivers, run any container runtime you like. The bundle just sets the hardware shape; the OS layer is yours to configure.

How do I get the cheapest rate on the Nvidia RTX 4000 Ada overall?

If you can tolerate a P2P marketplace, the Overview tab's "Where to rent it" table usually has the lowest hourly rate by a wide margin. Use a hyperscaler bundle only when you need managed networking, SLAs, or are already inside that cloud's ecosystem (compliance, data-egress costs, IAM).

Cloud instance options

Pre-configured instances on hyperscalers.

Whole-instance bundles (GPU + vCPU + RAM + disk) on the major clouds. Per-GPU rate often drops as the count rises. View = spec page · Launch = sign up (affiliate).

Cheapest bundle

$0.87/hr

Lowest $/hr per GPU

$0.87/hr

Providers

Instance shapes

Provider	Instance	GPUs	vCPU	RAM	Disk	$/hr	$/hr per GPU
Sesterce	RTX4000Ada	1×	8	32 GB	500 GB	$0.87/hr	$0.87/hr	Launch ↗
Sesterce	RTX4000Ada	1×	8	32 GB	500 GB	$0.87/hr	$0.87/hr	Launch ↗
Spheron Network	1x RTX4000ADA_PCIE	1×	8	32 GB	500 GB	$0.95/hr	$0.95/hr	Launch ↗

Looking for the cheapest rate?

Hyperscaler bundles include managed networking + SLAs. Raw per-GPU rental on P2P marketplaces is typically 3–10× cheaper. See raw rental rates on the Overview tab →

FAQ

Cloud instances — common questions.

What's a cloud instance bundle for the Nvidia RTX 4000 Ada?

Why is per-GPU pricing on instances different from raw GPU rental rates?

Which hyperscaler is cheapest for the Nvidia RTX 4000 Ada?

Can I run my own image or container on these instances?

How do I get the cheapest rate on the Nvidia RTX 4000 Ada overall?

Thuê Nvidia RTX 4000 Ada.

Daily median across providers.

All providers carrying this GPU.

Run these on this GPU.

Hyperscaler bundles.

Frequently asked.

Pre-configured instances on hyperscalers.

Cloud instances — common questions.

Models that run on this GPU.

Qwen2.5 32B

DeepSeek R1 Distill Qwen 7B

Llama 3.1 8B

Mistral 7B v0.3

Mistral 7B v0.2

Mistral 7B v0.1

Qwen 2.5 7B

LLaVA 7B

Code Llama 7B

DeepSeek Coder 6.7B

OLMo 3 7B

OLMo 7B

Hermes 3 8B

IBM Granite 3.1 8B

IBM Granite Code 8B

IBM: Granite 4.1 8B

Mistral: Ministral 3 8B 2512

Qwen: Qwen3 VL 8B Thinking

Qwen: Qwen3 VL 8B Instruct

ByteDance: UI-TARS 7B

Qwen: Qwen3 8B

AlfredPros: CodeLLaMa 7B Instruct Solidity

Llama Guard 3 8B

AionLabs: Aion-RP 1.0 (8B)

Qwen: Qwen2.5 7B Instruct

Sao10K: Llama 3 8B Lunaris

NousResearch: Hermes 2 Pro - Llama-3 8B

Meta: Llama 3 8B Instruct

Mistral: Mistral 7B Instruct v0.1

Qwen2.5 7B Instruct Turbo

Meta Llama 3 8B Instruct Lite

Nous Hermes 2 Mixtral 8X7B Dpo

nim/meta/llama-3.1-8b-instruct

Cogito V1 Preview Llama 8B

Mixtral 8x7B Instruct V0.1 FP8 Lora

Qwen 2 (7B)

Qwen2.5 7B

Qwen2.5 7B Instruct

Qwen3 1.7B

Qwen3 1.7B Base

Qwen3 8B Base

meta-llama/Llama-2-7b-chat-hf

Qwen3 8B Lora

Meta Llama 3.1 8B Instruct Awq Int4

Meta Llama 3.1 8B Instruct Turbo

Meta Llama 3 8B Instruct

Mistral (7B) Instruct v0.3

Mixtral 8X7b V0.1

nim/mistralai/mixtral-8x7b-instruct-v01

Mixtral-8x7B Instruct v0.1

Meta Llama 3.1 8B

Molmo 7B D 0924

Meta Llama 3 8B Instruct Reference

Qwen3.5-0.8B

L3-8B-Lunaris-v1-Turbo

Meta-Llama-3.1-8B-Instruct

Cogito V1 Preview Qwen 32B

Qwen QwQ-32B

Qwen 2.5 Coder 32B Instruct

ByteDance Seed: Seed-2.0-Lite

Qwen2.5 32B Instruct

DeepSeek R1 Distill Qwen 14B

Qwen 2.5 14B

Qwen 3 14B

Phi-4

Phi-3 Medium

LLaVA 13B

Code Llama 13B

DeepSeek Coder V2 Lite

Baichuan2-13B

Mistral: Ministral 3 14B 2512