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Modular Tech Stack

AI inference platform unifying model deployment across hardware and cloud

Software Development Everywhere 51–200 employees Founded 2022 Privately Held
modular.com LinkedIn

Modular builds a compiler and runtime stack for AI inference, with heavy investment in low-level optimization (CUDA, MLIR, LLVM, kernel libraries) and multi-cloud deployment (AWS, GCP, Azure, Kubernetes). The engineering-dominated org (15 of 18 roles) and project focus on GPU kernel optimization, hardware abstraction, and portability infrastructure suggest they're solving friction around deploying trained models to heterogeneous hardware — a core pain point their roadmap explicitly targets.

Tech Stack 36 technologies

Core StackKubernetes Helm C++ Rust Swift Python Scala AWS PyTorch TensorFlow Figma Adobe Photoshop C/C++ CUDA Mojo OpenCL Linux Kernel MLIR LLVM SYCL Haskell Clang GCC Dart GCP Azure asyncio JAX MAX Adobe After Effects+6 more

What Modular Is Building

◆Challenges

  • Friction in deploying trained models
  • Fragmented application frameworks
  • Rebuilding ai software stack
  • Performance-critical ai inference
  • Fast and scalable inference
  • Simplifying model deployment
  • Cold-start optimizations
  • Multi-cloud deployments
  • Deploy ai in production
  • Innovation across models and hardware

▲Active Projects

  • Ai inference kernel optimization
  • Llm inference platform
  • Hardware architecture support
  • Portability infrastructure improvement
  • Optimize mojo kernels for accelerator architectures
  • Helm charts and kubernetes operators
  • Open hardware ecosystem strategy
  • Gpu kernel optimization across environments
  • Mojo standard library development
  • Kernel library abstraction design

Hiring Activity

Accelerating20 roles · 8 in 30d

Department

Engineering
15
Marketing
1
Product
1
Sales
1

Seniority

Senior
10
Mid
4
Lead
3
Intern
1
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About Modular

Modular is an AI developer platform founded in 2022, focused on unifying the development and deployment of AI across diverse hardware and cloud environments. The company operates from a distributed footprint with 51–200 employees, concentrated in engineering and based primarily in the United States, United Kingdom, and Norway. Their core surface area spans AI inference optimization (LLM inference, GPU kernels, cold-start performance), model deployment tooling, and an emerging hardware abstraction strategy via open-source and Kubernetes operators. Active hiring skews toward senior and lead engineers, signaling maturity in execution and a scaling infrastructure play.

HeadquartersEverywhere
Company Size51–200 employees
Founded2022
Hiring MarketsUnited States, United Kingdom, Norway

Frequently Asked Questions

What is Modular's tech stack?

Modular uses C/C++, CUDA, LLVM, MLIR, Rust, Python, and Mojo for its core compiler and runtime. Deployment targets include Kubernetes, Helm, and cloud platforms (AWS, GCP, Azure). ML frameworks integrated are PyTorch, TensorFlow, and JAX.

What is Modular working on?

Core projects include LLM inference platform development, GPU kernel optimization, AI inference kernel optimization, hardware architecture support, and portability infrastructure. The roadmap also covers Mojo standard library development and open hardware ecosystem strategy.

How this profile is built

Modular's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.