Single-Tenant LLM Hosting · A Buyer's Brief

singletenant.ai

The buyer's resource for single-tenant AI infrastructure

Comparisons

Modal vs RunPod

Side-by-side comparison of Modal and RunPod for single-tenant LLM hosting. Deployment options, compliance, pricing, and operational fit compared.

Pick Modal when…

Python-native teams who want infrastructure-as-code without YAML or Docker. Excellent for ML engineers building custom pipelines, fine-tuning workflows, or hybrid CPU/GPU jobs.

Pick RunPod when…

Cost-sensitive teams running batch inference, model fine-tuning, or experimentation. Particularly strong for prototyping and bursty workloads where commodity GPU access matters more than enterprise tooling.

Side by side

Capabilities compared

Modal RunPod
Founded 2021 2021
Headquartered New York, NY, USA Moorestown, NJ, USA
Funding stage Series A Series A
Deployment options dedicated-endpoint single-tenant vpc shared-api dedicated-endpoint single-tenant
Hardware NVIDIA H100, NVIDIA A100, NVIDIA L40S, NVIDIA T4 NVIDIA H100, NVIDIA H200, NVIDIA A100, NVIDIA RTX 4090, NVIDIA RTX A6000
Compliance SOC 2 Type II HIPAA-eligible SOC 2 Type II
Data residency US, EU US, EU, Global (Community Cloud)
Pricing model Per-second on GPU-hour basis with separate CPU/memory billing Per-second billing on GPU-hour basis. Community Cloud (cheaper, individual providers globally) and Secure Cloud (enterprise-grade data centres)
Starts from $30/month free tier credit; pay-as-you-go after ~$0.34/hr (RTX 4090, Community Cloud); ~$0.89/hr (A100, Community)
Sweet spot Python-native teams who want infrastructure-as-code without YAML or Docker. Excellent for ML engineers building custom pipelines, fine-tuning workflows, or hybrid CPU/GPU jobs. Cost-sensitive teams running batch inference, model fine-tuning, or experimentation. Particularly strong for prototyping and bursty workloads where commodity GPU access matters more than enterprise tooling.
Weakness Less suited to teams that don't write Python. Dedicated/single-tenant options exist but the platform is most polished for the serverless flow. Less suitable for production customer-facing inference where strict SLAs and observability are required. Cold starts on serverless can be 15-30s. Community Cloud has variable reliability.

Where they diverge

Deployment differentiation

Only Modal

vpc

Both

dedicated-endpointsingle-tenant

Only RunPod

shared-api

Read the full profiles