🤖Modular Platform Goes Prod with Billions of Tokens Served
Your AI models just got a new home on Modular Cloud
TL;DR
The Modular Platform is now production-ready, serving billions of tokens per minute and supporting AWS Trainium, Google TPUs, Qualcomm Cloud AI 100, and more. MiniMax runs M3 on a dedicated deployment.
Modular Platform has gone live in production, handling billions of tokens per minute for real enterprise deployments like MiniMax's M3 model. Developers can now use the fully open-source Mojo language (Apache 2.0) to run models across various hardware types without rebuilding software stacks. This portability reduces engineering effort by over 10x and supports AWS Trainium, Google TPUs, Qualcomm Cloud AI 100, and more.
Key Points
Modular Platform supports AWS Trainium, Google TPUs, Qualcomm Cloud AI 100, and more alongside CPUs and GPUs
MiniMax runs its M3 model on a dedicated Modular deployment serving billions of tokens per minute
Mojo language is now fully open source under the Apache 2.0 license for cross-platform portability
Modular Cloud offers shared endpoints with pay-per-token pricing, similar to OpenAI's API
Native Windows support coming thanks to collaboration with Microsoft Windows team
Why It Matters
If you're developing AI models and need a versatile platform that supports multiple hardware architectures without the hassle of rebuilding software stacks, Modular Platform is your new best friend. With reduced engineering effort by over 10x, it allows developers to focus on model development rather than infrastructure.
Frequently Asked Questions
Why does this matter?
If you're developing AI models and need a versatile platform that supports multiple hardware architectures without the hassle of rebuilding software stacks, Modular Platform is your new best friend. With reduced engineering effort by over 10x, it allows developers to focus on model development rather than infrastructure.
What happened?
The Modular Platform is now production-ready, serving billions of tokens per minute and supporting AWS Trainium, Google TPUs, Qualcomm Cloud AI 100, and more. MiniMax runs M3 on a dedicated deployment.
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