AI tool comparison
DeepGEMM vs Expo
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Developer Tools
DeepGEMM
DeepSeek's FP8 GEMM kernels hit 1,550 TFLOPS on H100 — no CUDA install needed
50%
Panel ship
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Community
Free
Entry
DeepGEMM is DeepSeek's open-source library of highly optimized FP8 General Matrix Multiplication (GEMM) kernels targeting NVIDIA SM90/SM100 GPUs — the H100, H800, and Blackwell class. The headline feature is a lightweight just-in-time (JIT) compiler that eliminates the need for offline CUDA compilation at install time, dramatically lowering the barrier for teams who want raw GPU throughput without complex build pipelines. The library covers FP8 and FP4 dense GEMMs, BF16 accumulation, grouped GEMMs for Mixture-of-Experts architectures with overlapped NVLink communication, and multi-query attention scoring kernels. On H800 hardware DeepGEMM posts up to 1,550 TFLOPS — competitive with hand-tuned vendor libraries — while remaining fully open source under the MIT license. For LLM inference teams running on H100/H800 clusters, DeepGEMM slots directly into inference stacks like vLLM and SGLang. It's especially notable because it came from DeepSeek's internal training infrastructure, meaning it's been battle-tested at the scale that produced some of 2026's most cost-efficient models. This isn't research code — it's production tooling going public.
Developer Tools
Expo
Framework for building React Native apps
100%
Panel ship
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Community
Free
Entry
Expo simplifies React Native development with managed workflows, OTA updates, EAS Build/Submit, and a rich SDK. The default starting point for React Native apps.
Reviewer scorecard
“If you're running inference on H100s or H800s, DeepGEMM is an immediate drop-in for the hottest path in your stack. The JIT approach means you're not fighting CUDA version mismatches, and 1,550 TFLOPS is a number that makes you pay attention. Already integrates with vLLM — just use it.”
“EAS Build, OTA updates, and the managed workflow eliminate the worst parts of mobile development. Indispensable.”
“This is only useful if you're already running H100/H800 clusters — consumer GPU users get nothing here. Documentation is still thin in places, and support for anything below SM90 is explicitly not a priority. Great for DeepSeek's own infra needs; might be too narrow for most teams.”
“Expo has matured from toy to production platform. The config plugins and custom dev clients removed the old limitations.”
“DeepSeek consistently publishes its internal tooling and each release raises the efficiency ceiling for the whole industry. DeepGEMM is another piece of the puzzle that makes frontier inference cheaper — which ultimately benefits everyone downstream from model providers to end users.”
“Expo is making React Native the default for mobile. Universal apps (web + mobile) from one codebase is the future.”
“Far outside the creative tooling space but the downstream effect matters: faster, cheaper inference means the models powering creative AI tools get cheaper to run. Not something a designer touches directly, but the efficiency wins flow through to them eventually.”
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