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RunPod Pods vs RunPod Serverless

RunPod Pods or RunPod Serverless? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.

In inglese

In short

  • Both: Command line, API, Official SDKs, Runs models for you
  • Only RunPod Serverless states: Choice of models, Builds agents and workflows, Traces and evaluates

RunPod Pods

RunPod Pods are dedicated cloud GPU instances for AI development, training, inference, batch jobs, and long-running workloads.

Plans

B300

  • $6.94 /hr (Community Cloud)
  • $ 7.89 /hr (Secure Cloud)
  • 288 GB HBM3e
  • 251 GB RAM
  • 32 vCPUs

H200

  • $3.59 /hr (Community Cloud)
  • $ 4.59 /hr (Secure Cloud)
  • 141 GB VRAM
  • 276 GB RAM
  • 24 vCPUs

B200

  • $5.98 /hr (Community Cloud)
  • $ 6.79 /hr (Secure Cloud)
  • 180 GB VRAM
  • 283 GB RAM
  • 28 vCPUs

RTX Pro 6000

  • $1.69 /hr (Community Cloud)
  • $ 2.09 /hr (Secure Cloud)
  • 96 GB VRAM
  • 188 GB RAM
  • 16 vCPUs

H100 NVL

  • $2.59 /hr (Community Cloud)
  • $ 3.19 /hr (Secure Cloud)
  • 94 GB VRAM
  • 94 GB RAM
  • 16 vCPUs

H100 PCIe

  • $1.99 /hr (Community Cloud)
  • $ 2.89 /hr (Secure Cloud)
  • 80 GB VRAM
  • 188 GB RAM
  • 16 vCPUs

H100 SXM

  • $2.69 /hr (Community Cloud)
  • $ 3.49 /hr (Secure Cloud)
  • 80 GB VRAM
  • 125 GB RAM
  • 20 vCPUs

A100 PCIe

  • $1.19 /hr (Community Cloud)
  • $ 1.59 /hr (Secure Cloud)
  • 80 GB VRAM
  • 117 GB RAM
  • 8 vCPUs

A100 SXM

  • $1.39 /hr (Community Cloud)
  • $ 1.59 /hr
  • 80 GB VRAM
  • 125 GB RAM
  • 16 vCPUs

Pro 6000 MIG 48GB

  • $ 1.09 /hr
  • 48 GB VRAM
  • 62 GB RAM
  • 8 vCPUs

Prices checked 2026-09-25 on the maker’s page.

Capabilities

  • Command line — “CLI & SDKs. Deploy and manage directly from your terminal.” source
  • API — “Full API access. Automate everything with a simple, flexible API.” source
  • Official SDKs — “CLI & SDKs. Deploy and manage directly from your terminal.” source
  • Runs models for you — “Run API-based AI workloads with serverless GPU endpoints.” source

Latest updates

  • Global Volumes - Beta

    Mount it at startup across any region; no copying data between data centers required.

  • Nano Banana Edit

    The Nano Banana Edit endpoint will be retired September 28, 2026. Migrate to Nano Banana 2 Edit.

  • Sales tax and tax ID support

    Runpod collects sales tax on credit purchases. Add a business tax ID at checkout or in your account settings.

About RunPod Pods

RunPod Serverless

RunPod Serverless deploys containerized AI inference endpoints that autoscale GPU workers and bill compute by the second.

Plans

B300

  • $ 9.98 /hr
  • Maximum throughput for big models.

B200

  • $ 8.64 /hr
  • Maximum throughput for big models.

H200

  • $ 5.93 /hr
  • Extreme throughput for big models.

RTX 6000 Pro

  • $ 3.49 /hr
  • High throughput for large model inference workloads.

H100

  • $ 4.79 /hr
  • Extreme throughput for big models.

A100

  • $ 2.72 /hr
  • High throughput GPU, yet still very cost-effective.

L40, L40S, 6000 Ada, MIG 48GB

  • $ 1.75 /hr
  • Extreme inference throughput on LLMs like Llama 3 7B.

A6000, A40

  • $ 1.22 /hr
  • A cost-effective option for running big models.

5090

  • $ 1.58 /hr
  • Extreme throughput for small-to-medium models.

RTX PRO 4500 Blackwell

  • $ 1.15 /hr
  • Cost-effective Blackwell inference for 32GB workloads.

Prices checked 2026-09-25 on the maker’s page.

Capabilities

  • Command line — “Deploy and manage directly from your terminal.” source
  • Choice of models — “Instant access to pre-deployed AI models via API. No infrastructure setup required.” source
  • API — “Serverless GPU endpoints run containerized inference workloads behind an API and scale workers based on demand.” source
  • Official SDKs — “CLI & SDKs.” source
  • Runs models for you — “Deploy any containerized model as an autoscaling GPU endpoint without managing servers.” source
  • Builds agents and workflows — “Build intelligent agent-based systems and workflows.” source
  • Traces and evaluates — “Runpod offers a comprehensive monitoring dashboard with real-time logging and distributed tracing for your serverless functions.” source

Latest updates

  • Global Volumes - Beta

    Create a global volume once and mount it at startup across any region, with no copying data between data centers required.

  • Nano Banana Edit

    The Nano Banana Edit public endpoint will be retired on September 28, 2026. Migrate to Nano Banana 2 Edit.

  • Sales tax and tax ID support

    Runpod now collects sales tax on credit purchases in applicable jurisdictions. Add a business tax ID at checkout or in account settings.

About RunPod Serverless