- Starting price
- $0.27per hour
About Runpod
Runpod is the AI Developer Cloud that lets teams experiment, train, fine-tune, deploy, and scale ML workloads on a single platform. It’s used by 1M+ developers at leading AI companies to move from prototype to production without replatforming.
Key Features
From experimentation through production, Runpod provides a GPU-backed workflow for building and deploying models. It helps teams manage the full lifecycle in one place, reducing handoffs and infrastructure overhead:
GPU Pods
Spin up GPU-enabled environments in seconds to run experiments and training.
Serverless Compute
Run inference and episodic workloads without managing servers; scales on demand.
Clusters, Pods, and Serverless in One Account
Manage all lifecycle components from a single Runpod account to keep environments in sync.
End-to-End Lifecycle
Move from experiment to production without replatforming, with consistent tooling and workflows.
Summary
Best for AI/ML engineers, data scientists, and MLOps teams who prototype quickly and deploy models at scale.
Pricing
View pricingPlans and prices as listed on runpod.io as of Sep 18, 2026.
RTX A5000
$0.27 / per hour
- 24 GB VRAM
- 25 GB RAM
- 9 vCPUs
A40
$0.49 / per hour
- 48 GB VRAM
- 50 GB RAM
- 9 vCPUs
L4
$0.49 / per hour
- 24 GB VRAM
- 50 GB RAM
- 12 vCPUs
RTX 3090
$0.50 / per hour
- 24 GB VRAM
- 125 GB RAM
- 16 vCPUs
RTX A6000
$0.53 / per hour
- 48 GB VRAM
- 50 GB RAM
- 9 vCPUs
A4000, A4500, RTX 4000, RTX 2000
$0.58 / per hour
- The most cost-effective for small models.
Pro 6000 MIG 24GB
$0.59 / per hour
- 24 GB VRAM
- 31 GB RAM
- 4 vCPUs
L4, A5000, 3090, MIG 24GB
$0.69 / per hour
- 16 GB
- Great for small-to-medium sized inference workloads.
RTX 4090
$0.74 / per hour
- 24 GB VRAM
- 41 GB RAM
- 6 vCPUs
L40
$0.82 / per hour
- 48 GB VRAM
- 94 GB RAM
- 8 vCPUs
RTX 6000 Ada
$0.84 / per hour
- 48 GB VRAM
- 167 GB RAM
- 10 vCPUs
RTX 5090
$0.99 / per hour
- 32 GB VRAM
- 35 GB RAM
- 9 vCPUs
Pro 6000 MIG 48GB
$1.09 / per hour
- 48 GB VRAM
- 62 GB RAM
- 8 vCPUs
L40S
$1.09 / per hour
- 48 GB VRAM
- 94 GB RAM
- 16 vCPUs
4090
$1.10 / per hour
- 24 GB
- PRO Extreme throughput for small-to-medium models.
A6000, A40
$1.22 / per hour
- 48 GB
- A cost-effective option for running big models.
32GB
$1.58 / per hour
- 5090
- PRO Extreme throughput for small-to-medium models.
A100 PCIe
$1.59 / per hour
- 80 GB VRAM
- 117 GB RAM
- 8 vCPUs
A100 SXM
$1.59 / per hour
- 80 GB VRAM
- 125 GB RAM
- 16 vCPUs
L40, L40S, 6000 Ada, MIG 48GB
$1.75 / per hour
- 48 GB
- Extreme inference throughput on LLMs like Llama 3 7B.
RTX Pro 6000
$2.09 / per hour
- 96 GB VRAM
- 188 GB RAM
- 16 vCPUs
A100
$2.72 / per hour
- 80 GB
- High throughput GPU, yet still very cost-effective.
H100 PCIe
$2.89 / per hour
- 80 GB VRAM
- 188 GB RAM
- 16 vCPUs
H100 NVL
$3.19 / per hour
- 94 GB VRAM
- 94 GB RAM
- 16 vCPUs
H100 SXM
$3.49 / per hour
- 80 GB VRAM
- 125 GB RAM
- 20 vCPUs
RTX 6000 Pro
$3.49 / per hour
- 96 GB
- High throughput for large model inference workloads.
H200 SXM
$4.31 / per hour
H200
$4.59 / per hour
- 141 GB VRAM
- 276 GB RAM
- 24 vCPUs
H100 PRO
$4.79 / per hour
- 80 GB
- Extreme throughput for big models.
B200
$6.79 / per hour
- 180 GB VRAM
- 283 GB RAM
- 28 vCPUs
B300
$7.89 / per hour
- 288 GB HBM3e
- 251 GB RAM
- 32 vCPUs
The company behind Runpod
- Founded
- 2022
- Headquarters
- San Francisco, United States
- Employees
- 51–200
- Total raised
- $100M
- Website
- runpod.io
Alternatives to Runpod
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The company behind Runpod
- Founded
- 2022
- Headquarters
- San Francisco, United States
- Employees
- 51–200
- Total raised
- $100M
- Website
- runpod.io
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