Single-Tenant LLM Hosting · A Buyer's Brief

singletenant.ai

The buyer's resource for single-tenant AI infrastructure

Comparisons

RunPod vs Modal

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

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.

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.

Side by side

Capabilities compared

RunPod Modal
Founded 2021 2021
Headquartered Moorestown, NJ, USA New York, NY, USA
Funding stage Series A Series A
Deployment options shared-api dedicated-endpoint single-tenant dedicated-endpoint single-tenant vpc
Hardware NVIDIA H100, NVIDIA H200, NVIDIA A100, NVIDIA RTX 4090, NVIDIA RTX A6000 NVIDIA H100, NVIDIA A100, NVIDIA L40S, NVIDIA T4
Compliance SOC 2 Type II SOC 2 Type II HIPAA-eligible
Data residency US, EU, Global (Community Cloud) US, EU
Pricing model Per-second billing on GPU-hour basis. Community Cloud (cheaper, individual providers globally) and Secure Cloud (enterprise-grade data centres) Per-second on GPU-hour basis with separate CPU/memory billing
Starts from ~$0.34/hr (RTX 4090, Community Cloud); ~$0.89/hr (A100, Community) $30/month free tier credit; pay-as-you-go after
Sweet spot 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. 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.
Weakness 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. Less suited to teams that don't write Python. Dedicated/single-tenant options exist but the platform is most polished for the serverless flow.

Where they diverge

Deployment differentiation

Only RunPod

shared-api

Both

dedicated-endpointsingle-tenant

Only Modal

vpc

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