Unlock speed-of-light inference on GPUs with an open, unified AI stack
Scale your AI workloads from 1 GPU to megaclusters, all without CUDA - all on a single platform that grows with you from startup to enterprise
What can you do with Modular?
500+ GenAI models
Customizable
Open source implementation
Get going fast
Tiny containers
Multi-hardware support
Multi-cloud deployment
Full hardware control
Great documentation
State-of-the-art performance
Hardware agnostic
Multi hardware
Write once, deploy anywhere
Backwards compatible
"after wrestling with CUDA drivers for years, it felt surprisingly… smooth. No, really: for once I wasn’t battling obscure libstdc++ errors at midnight or re-compiling kernels to coax out speed. Instead, I got a peek at writing almost-Pythonic code that compiles down to something that actually flies on the GPU."
Sanika
"This is about unlocking freedom for devs like me, no more vendor traps or rewrites, just pure iteration power. As someone working on challenging ML problems, this is a big thing."
Jayesh
“The more I benchmark, the more impressed I am with the MAX Engine.”
justin_76273
"The performance gains and the whole Mojo direction felt genuinely exciting, especially from the perspective of someone who’s always looking to squeeze more out of Python-based workflows."
Vishnu
“It’s fast which is awesome. And it’s easy. It’s not CUDA programming...easy to optimize.”
dorjeduck
"Having a single framework in Mojo that compiles both lower-level code and a higher level metaprogramming layer using dependent types feels like black magic, so exciting!"
Theodore Papamarkou
Unlock speed of light performance at every level
Industry leading performance out-of-the-box
Achieve state-of-the-art speed and efficiency immediately—no complex tuning, just install and run.
Scale from 1 GPU, to unlimited
Kubernetes-native control plane, router, and substrate specially-designed for large-scale distributed AI serving. It supports multi-model management, prefill-aware routing, disaggregated compute and cache.
Biggest open source library of GPU code
Boost performance across the entire AI stack with innovations like compiler, kernels, runtime, and more
Drive Total Cost Savings
MAX's speed is proven to bring your overall AI budget down. Connect with us to find out how much you can save
Benchmark our performance
Run real benchmarks, validate SOTA performance, and confidently scale AI workloads
Native portability, from CPU to GPU and beyond
Write once, deploy everywhere
Forward & backward compatible
Future proof your AI stack
Spend less on compute
Data center & consumer GPUs
Take control, customize at every layer—from model to silicon
Customize down to the silicon
Fine-tune custom ops and runtimes for performance and precision at the deepest levels.
Bring cutting-edge research to production
Boost performance across the entire AI stack with innovations like compiler, kernels, runtime, and more.
Open source
Access, modify, and extend every layer of the stack without restrictions—true freedom to innovate.
Vertically integrated
One cohesive system for better performance, easier debugging, and more consistent behavior across development and deployment.
Start simple and grow
Our engineers have created a platform that works out of the box. Get comfortable with our tools, then optimize further down to the metal.
“The Community is incredible and so supportive. It’s awesome to be part of.”
benny.n
“I tried MAX builds last night, impressive indeed. I couldn't believe what I was seeing... performance is insane.”
drdude81
"Performance and ease of use. These two qualities make Modular's offerings stand out. Take Mojo, for example—it’s quickly become one of my favorite languages (second only to JavaScript). It’s incredibly performant, doesn’t restrict low-level development, and yet feels almost as approachable as Python. That’s a rare and powerful combination."
hammad ali
"it was a breath of fresh air, combining the approachability of Python with the strictness of Rust or Scala."
Carl Caulkett
"I tried out writing some toy scripts in Mojo. It was over 100x faster than Python which was absolutely delightful to watch for the first time."
Kinbert Chou
Less waiting, more building
Minimize dependencies
Fewer external libraries for faster installs, smaller packages, and smoother deployments.
GPU Acceleration, without CUDA
Get your AI stack running without complex GPU drivers like CUDA. Say goodbye to setup issues and dependency conflicts.
Lightning-fast compile times
Experience effortless prototyping—no lag, no friction, just fast iteration. Pythonic code that flies on the GPU.
Build with Python, optimize with Mojo🔥
Develop easily with familiar Python, then switch to Mojo for higher speed and precision when needed, without changing platforms.
Best developer tools
With native VS Code extensions (100k installs!), and fully featured LLDB debugger, develop faster than ever.
Scales for enterprises
Dedicated enterprise support
We are a team of the world's best AI infrastructure leaders who are reinventing and rebuilding accelerated compute for everyone.
Infinitely scalable to reduce your TCO
Optimize costs and performance with multi-node inference at massive scale across cloud or on-prem environments.
Enterprise grade SLA
Our performance is backed with an enterprise grade SLA, ensuring reliability, accountability, and peace of mind.
Developer Approved 👍
“Max installation on Mac M2 and running llama3 in (q6_k and q4_k) was a breeze! Thank you Modular team!”
NL
"Mojo is Python++. It will be, when complete, a strict superset of the Python language. But it also has additional functionality so we can write high performance code that takes advantage of modern accelerators."
jeremyphoward
“Tired of the two language problem. I have one foot in the ML world and one foot in the geospatial world, and both struggle with the 'two-language' problem. Having Mojo - as one language all the way through would be awesome.”
fnands
“Mojo can replace the C programs too. It works across the stack. It’s not glue code. It’s the whole ecosystem.”
scrumtuous
“Max installation on Mac M2 and running llama3 in (q6_k and q4_k) was a breeze! Thank you Modular team!”
NL
"Mojo is Python++. It will be, when complete, a strict superset of the Python language. But it also has additional functionality so we can write high performance code that takes advantage of modern accelerators."
jeremyphoward
“Tired of the two language problem. I have one foot in the ML world and one foot in the geospatial world, and both struggle with the 'two-language' problem. Having Mojo - as one language all the way through would be awesome.”
fnands
“Mojo can replace the C programs too. It works across the stack. It’s not glue code. It’s the whole ecosystem.”
scrumtuous
“Max installation on Mac M2 and running llama3 in (q6_k and q4_k) was a breeze! Thank you Modular team!”
NL
"Mojo is Python++. It will be, when complete, a strict superset of the Python language. But it also has additional functionality so we can write high performance code that takes advantage of modern accelerators."
jeremyphoward
“Tired of the two language problem. I have one foot in the ML world and one foot in the geospatial world, and both struggle with the 'two-language' problem. Having Mojo - as one language all the way through would be awesome.”
fnands
“Mojo can replace the C programs too. It works across the stack. It’s not glue code. It’s the whole ecosystem.”
scrumtuous
“Max installation on Mac M2 and running llama3 in (q6_k and q4_k) was a breeze! Thank you Modular team!”
NL
"Mojo is Python++. It will be, when complete, a strict superset of the Python language. But it also has additional functionality so we can write high performance code that takes advantage of modern accelerators."
jeremyphoward
“Tired of the two language problem. I have one foot in the ML world and one foot in the geospatial world, and both struggle with the 'two-language' problem. Having Mojo - as one language all the way through would be awesome.”
fnands
“Mojo can replace the C programs too. It works across the stack. It’s not glue code. It’s the whole ecosystem.”
scrumtuous
“What @modular is doing with Mojo and the MaxPlatform is a completely different ballgame.”
scrumtuous
“I am focusing my time to help advance @Modular. I may be starting from scratch but I feel it’s what I need to do to contribute to #AI for the next generation.”
mytechnotalent
“Mojo and the MAX Graph API are the surest bet for longterm multi-arch future-substrate NN compilation”
pagilgukey
“A few weeks ago, I started learning Mojo 🔥 and MAX. Mojo has the potential to take over AI development. It's Python++. Simple to learn, and extremely fast.”
svpino
“Mojo destroys Python in speed. 12x faster without even trying. The future is bright!”
svpino
“It’s fast which is awesome. And it’s easy. It’s not CUDA programming...easy to optimize.”
dorjeduck
“I tried MAX builds last night, impressive indeed. I couldn't believe what I was seeing... performance is insane.”
drdude81
“What @modular is doing with Mojo and the MaxPlatform is a completely different ballgame.”
scrumtuous
“I am focusing my time to help advance @Modular. I may be starting from scratch but I feel it’s what I need to do to contribute to #AI for the next generation.”
mytechnotalent
“Mojo and the MAX Graph API are the surest bet for longterm multi-arch future-substrate NN compilation”
pagilgukey
“A few weeks ago, I started learning Mojo 🔥 and MAX. Mojo has the potential to take over AI development. It's Python++. Simple to learn, and extremely fast.”
svpino
“Mojo destroys Python in speed. 12x faster without even trying. The future is bright!”
svpino
“It’s fast which is awesome. And it’s easy. It’s not CUDA programming...easy to optimize.”
dorjeduck
“I tried MAX builds last night, impressive indeed. I couldn't believe what I was seeing... performance is insane.”
drdude81
“What @modular is doing with Mojo and the MaxPlatform is a completely different ballgame.”
scrumtuous
“I am focusing my time to help advance @Modular. I may be starting from scratch but I feel it’s what I need to do to contribute to #AI for the next generation.”
mytechnotalent
“Mojo and the MAX Graph API are the surest bet for longterm multi-arch future-substrate NN compilation”
pagilgukey
“A few weeks ago, I started learning Mojo 🔥 and MAX. Mojo has the potential to take over AI development. It's Python++. Simple to learn, and extremely fast.”
svpino
“Mojo destroys Python in speed. 12x faster without even trying. The future is bright!”
svpino
“It’s fast which is awesome. And it’s easy. It’s not CUDA programming...easy to optimize.”
dorjeduck
“I tried MAX builds last night, impressive indeed. I couldn't believe what I was seeing... performance is insane.”
drdude81
“What @modular is doing with Mojo and the MaxPlatform is a completely different ballgame.”
scrumtuous
“I am focusing my time to help advance @Modular. I may be starting from scratch but I feel it’s what I need to do to contribute to #AI for the next generation.”
mytechnotalent
“Mojo and the MAX Graph API are the surest bet for longterm multi-arch future-substrate NN compilation”
pagilgukey
“A few weeks ago, I started learning Mojo 🔥 and MAX. Mojo has the potential to take over AI development. It's Python++. Simple to learn, and extremely fast.”
svpino
“Mojo destroys Python in speed. 12x faster without even trying. The future is bright!”
svpino
“It’s fast which is awesome. And it’s easy. It’s not CUDA programming...easy to optimize.”
dorjeduck
“I tried MAX builds last night, impressive indeed. I couldn't believe what I was seeing... performance is insane.”
drdude81
"Mojo gives me the feeling of superpowers. I did not expect it to outperform a well-known solution like llama.cpp."
Aydyn
"C is known for being as fast as assembly, but when we implemented the same logic on Mojo and used some of the out-of-the-box features, it showed a huge increase in performance... It was amazing."
Aydyn
“I'm excited, you're excited, everyone is excited to see what's new in Mojo and MAX and the amazing achievements of the team at Modular.”
Eprahim
“I'm very excited to see this coming together and what it represents, not just for MAX, but my hope for what it could also mean for the broader ecosystem that mojo could interact with.”
strangemonad
"It worked like a charm, with impressive speed. Now my version is about twice as fast as Julia's (7 ms vs. 12 ms for a 10 million vector; 7 ms on the playground. I guess on my computer, it might be even faster). Amazing."
Adalseno
“The more I benchmark, the more impressed I am with the MAX Engine.”
justin_76273
"Mojo gives me the feeling of superpowers. I did not expect it to outperform a well-known solution like llama.cpp."
Aydyn
"C is known for being as fast as assembly, but when we implemented the same logic on Mojo and used some of the out-of-the-box features, it showed a huge increase in performance... It was amazing."
Aydyn
“I'm excited, you're excited, everyone is excited to see what's new in Mojo and MAX and the amazing achievements of the team at Modular.”
Eprahim
“I'm very excited to see this coming together and what it represents, not just for MAX, but my hope for what it could also mean for the broader ecosystem that mojo could interact with.”
strangemonad
"It worked like a charm, with impressive speed. Now my version is about twice as fast as Julia's (7 ms vs. 12 ms for a 10 million vector; 7 ms on the playground. I guess on my computer, it might be even faster). Amazing."
Adalseno
“The more I benchmark, the more impressed I am with the MAX Engine.”
justin_76273
"Mojo gives me the feeling of superpowers. I did not expect it to outperform a well-known solution like llama.cpp."
Aydyn
"C is known for being as fast as assembly, but when we implemented the same logic on Mojo and used some of the out-of-the-box features, it showed a huge increase in performance... It was amazing."
Aydyn
“I'm excited, you're excited, everyone is excited to see what's new in Mojo and MAX and the amazing achievements of the team at Modular.”
Eprahim
“I'm very excited to see this coming together and what it represents, not just for MAX, but my hope for what it could also mean for the broader ecosystem that mojo could interact with.”
strangemonad
"It worked like a charm, with impressive speed. Now my version is about twice as fast as Julia's (7 ms vs. 12 ms for a 10 million vector; 7 ms on the playground. I guess on my computer, it might be even faster). Amazing."
Adalseno
“The more I benchmark, the more impressed I am with the MAX Engine.”
justin_76273
"Mojo gives me the feeling of superpowers. I did not expect it to outperform a well-known solution like llama.cpp."
Aydyn
"C is known for being as fast as assembly, but when we implemented the same logic on Mojo and used some of the out-of-the-box features, it showed a huge increase in performance... It was amazing."
Aydyn
“I'm excited, you're excited, everyone is excited to see what's new in Mojo and MAX and the amazing achievements of the team at Modular.”
Eprahim
“I'm very excited to see this coming together and what it represents, not just for MAX, but my hope for what it could also mean for the broader ecosystem that mojo could interact with.”
strangemonad
"It worked like a charm, with impressive speed. Now my version is about twice as fast as Julia's (7 ms vs. 12 ms for a 10 million vector; 7 ms on the playground. I guess on my computer, it might be even faster). Amazing."
Adalseno
“The more I benchmark, the more impressed I am with the MAX Engine.”
justin_76273
Build the future of AI with Modular
Quick start resources
Get started guide
With just a few commands, you can install MAX as a conda package and deploy a GenAI model on a local endpoint.
Browse open source models
500+ supported models, most of which have been optimized for lightning fast speed on the Modular platform.
Find examples
Follow step by step recipes to build Agents, chatbots, and more with MAX.
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