You can use Modular to serve machine learning models across multiple hardware architectures like NVIDIA and AMD GPUs, Google TPUs, and CPUs without rewriting code. It combines the Mojo programming language with the MAX engine to help developers write custom kernels, run open-source models like DeepSeek, and deploy workloads to shared or dedicated endpoints. You can host deployments in Modular's cloud, run inside your own virtual private cloud, or run containers on self-hosted hardware while maintaining full control over model execution speed and compute costs.
What Modular does
Pricing breakdown
Pricing model: Free
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