vLLM vs Modal

Modal has a disclosed valuation of $150M, while vLLM's valuation is not publicly available, making a direct size comparison difficult. Modal employs 30 people.

Modal has raised $20M in disclosed funding across 1 known round. vLLM's funding history is not publicly available.

Modal holds the higher Awaira Score at 71/100, compared to vLLM's 45/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 26-point gap that reflects meaningful differences in scale or traction.

Modal was founded by Erik Bernhardsson in 2021. vLLM's founder information is not currently available in our database.

vLLM: vLLM is an open-source high-throughput and memory-efficient inference and serving engine for large language models, developed initially at UC Berkeley and widely adopted in production AI deployments. The project introduced PagedAttention, a novel memory management technique that significantly increases GPU utilization during LLM inference by managing key-value cache memory analogously to how operating systems manage virtual memory pages.\n\nThe engine is used in production by AI infrastructure teams at major technology companies, AI labs, and cloud providers who need to maximize the number of concurrent LLM requests served per GPU. vLLM benchmarks consistently demonstrate throughput improvements of 10 to 20 times over naive inference implementations, translating directly into lower cost per inference query at scale. The project is maintained by a community of contributors from both academia and industry.\n\nHigh-throughput LLM serving infrastructure is foundational to the economics of AI deployment. As inference costs represent an increasing share of AI operating budgets, the performance characteristics of the serving engine directly determine the financial viability of AI-powered products. vLLM dominant position in open-source LLM serving gives it deep adoption among infrastructure engineers and makes it a reference implementation against which commercial serving solutions are measured. Modal: Modal is an AI infrastructure company founded in 2021 that provides cloud computing tools for machine learning and artificial intelligence applications. The platform enables developers to build, deploy, and scale AI models with reduced infrastructure complexity. Modal's core offering centers on serverless computing infrastructure specifically optimized for AI workloads, allowing users to run GPU-intensive tasks without managing underlying hardware directly. The company positions itself within the broader AI infrastructure category, competing alongside platforms like Replicate, Lambda Labs, and cloud providers' AI services. Modal's approach focuses on simplifying the deployment pipeline for machine learning models, enabling developers to move from development to production environments more efficiently. The platform supports various frameworks and use cases including LLM inference, image generation, and general machine learning tasks. Founded in 2021, Modal operates at the Seed stage with total funding of $20 million and a valuation of $0.1 billion. The company benefits from growing demand for accessible AI infrastructure as organizations scale machine learning workloads. Modal's customer base includes AI developers and teams building applications that require computational resources beyond typical cloud offerings. The competitive landscape remains fragmented, with multiple players addressing different aspects of AI infrastructure. Modal's growth trajectory reflects broader market expansion in AI tooling and infrastructure services. Modal addresses the infrastructure gap between AI research and production deployment by offering serverless computing optimized specifically for GPU-intensive machine learning workloads.

Modal was founded first in 2021, giving it 2 years of additional market experience. vLLM was founded later in 2023. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

vLLM has approximately 1-50 employees, while Modal has approximately 30. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, vLLM and Modal are direct competitors — both operate in the AI Infrastructure space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.