Decart vs Modular
Relationship
Decart Optimization Stack and MAX do comparable work on GPU programming; both also serve buyers who need to run an open-weight model on your own infrastructure and serve a model in production; Modular is acquired, with no independent scale.
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
3 of 8 capabilities — Shares GPU programming, model hosting and model inference.
Ludbee capability tags · from the product recordsShared product type — Both ship infrastructure service.
Ludbee product recordsAligned comparison
Capability overlap
Shared · 3
Not verified for Modular · 5
Recorded for Decart. Modular’s product records say nothing either way — a missing record is not a missing capability.
Modular has no capability Decart lacks, among the 3 recorded here.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Decart
Infrastructure service
The Decart Optimization Stack (DOS) is Decart's inference and training optimization infrastructure, spanning hardware-aware model design, kernel tooling, proprietary compilers and inference optimization. It is sold to hardware providers and AI teams as engagements covering benchmark optimization, customer-defined kernel and compiler work, cross-workload efficiency gains, and profiler and simulator licensing, and is marketed as hardware-agnostic across GPUs, TPUs, Trainium and AMD accelerators.
Modular
Infrastructure service
Open-source AI serving and modelling framework: a Python API, model pipelines and GPU kernels for NVIDIA, AMD and Apple hardware.
Modular's hosted inference service — shared and dedicated frontier-model endpoints, and the same stack deployed into a customer's own VPC.
No counterpart
Decart sells these in a stack layer with no product recorded for Modular yet — nothing on the other side to compare them against.
Application
Delulu is Decart's consumer mobile app for AI photo transformation, published on iOS and Android by Decart.AI, Inc. Its store listing describes it as a way to 'Turn any photo into something fun, weird, or just really good-looking, with a single tap', browsing preset styles and creating stickers to share.
Real-time video editing platform that edits and transforms live video at streaming speed, for enterprises, brands, creators and live/streaming/gaming use cases; built on Decart's DOS infrastructure.
API service
Interactive world model for Physical AI, generating realistic, controllable real-time simulation environments for training autonomous systems, distributed as an API/SDK product built on Decart's Optimization Stack (DOS) infrastructure.
Model API
Cogito is Decart's OpenAI-compatible LLM inference API, serving frontier open-weight models including Kimi K2.6, Kimi K2.7 Code, GLM-5.2, Qwen3 235B and GPT-OSS 120B across Trainium, TPU and GPU capacity. A self-serve Standard tier is billed per token, while an ultra-fast reserved tier advertises 1,000+ tokens per second. It is built on Decart's own DOS optimization stack.
Modular sells these in a stack layer with no product recorded for Decart yet — nothing on the other side to compare them against.
Developer tool
Apache-2.0 systems language for writing fast code across CPUs, GPUs and other accelerators without vendor lock-in, published by Modular.