fast and unified genai For enterprise
Save money on AI inference using any model, GPU, & cloud
SOTA performance for GenAI workloads on Open LLMs
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Develop locally, deploy globally. With the same code.
Iterate faster from your laptop
Don’t want to waste time and money deploying to cloud. Validate your proof of concept right from your laptop.
Minimal dependencies, make life easy
MAX's small container lets you deploy easily to NVIDIA and AMD GPUs with minimal dependencies - saving you time and simplifying deployment.
Deploy to any cloud VPC or Kubernetes
Start creating your own defensible I.P. and take control of your data privacy and compliance.
Integrates with PyTorch. Scales to the Max.
Bring any PyTorch model
Execute a wide range of models with seamless PyTorch Eager & Torch.compile integrations.
Serve optimized MAX models
Browse through multiple models designed specifically for even better performance with MAX.
Serve PyTorch LLMs from Hugging Face
MAX Serve’s native Hugging Face model support, enables you to rapidly develop, test, and deploy any PyTorch LLMs.
Free yourself of lock-ins. Multi-cloud. Multi-hardware.
Avoid lock-in. Choose freely.
MAX gives you more flexibility and scalability, enabling seamless deployment across different cloud providers or on-premises systems while optimizing performance and cost.
OpenAI compatible endpoint
Quickly integrate existing applications and workflows without needing to rewrite code or learn new APIs.
Scale your workloads
Handle increasing or fluctuating demands in processing AI tasks, ensuring optimal performance and cost-effectiveness.
Out-of-the-box performance & utilization
Get immediate performance wins with torch.compile interoperability and MAX’s custom stack & backend
Control, secure, & own all your AI.
Own your IP
Control every layer of your stack. Get your weights from anywhere. Customize down to the kernel if needed.
Manage your data privacy & compliance
Get peace of mind with MAX. Own your ML Pipelines and avoid sending your proprietary data to external sources.
Own your AI endpoint
Unify your AI infrastructure, owning your endpoint for seamless performance and better control.
Get started with MAX. Deploy in minutes.
Install and start running LLMs in 3 steps
Install MAX with just 3 terminal commands. Run any of our optimized models with a single command from here.
01 Install package manager
$ curl -ssL https://magic.modular.com | bash
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02 Clone the MAX repo
git clone https://github.com/modularml/max
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03 Go to the models directory
cd max/pipelines/python
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Develop with Python APIs
Use what you know with Python integrations allowing you to interop with your existing workloads and offload onto MAX where it matters
Streamlined AI deployment
Simplify your infrastructure, optimization, and integration processes so you can leverage more AI with fewer technical hurdles.
Use your existing use cases & tools
Use the MAX APIs to build, optimize and deploy from one model to more complex GenAI pipelines on CPUs or GPUs.
Where MAX sits in your stack
MAX inference engine sits inside your preferred cloud provider and gives you SOTA performance on NVIDIA and AMD GPUs
What developers are saying about MAX
“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
“Max installation on Mac M2 and running llama3 in (q6_k and q4_k) was a breeze! Thank you Modular team!”
NL
“The Community is incredible and so supportive. It’s awesome to be part of.”
benny.n
“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
“Max installation on Mac M2 and running llama3 in (q6_k and q4_k) was a breeze! Thank you Modular team!”
NL
“The Community is incredible and so supportive. It’s awesome to be part of.”
benny.n
“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
“Max installation on Mac M2 and running llama3 in (q6_k and q4_k) was a breeze! Thank you Modular team!”
NL
“The Community is incredible and so supportive. It’s awesome to be part of.”
benny.n
“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
“Max installation on Mac M2 and running llama3 in (q6_k and q4_k) was a breeze! Thank you Modular team!”
NL
“The Community is incredible and so supportive. It’s awesome to be part of.”
benny.n
“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
“What @modular is doing with Mojo and the MaxPlatform is a completely different ballgame.”
scrumtuous
“Mojo and the MAX Graph API are the surest bet for longterm multi-arch future-substrate NN compilation”
pagilgukey
“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
“I tried MAX builds last night, impressive indeed. I couldn't believe what I was seeing... performance is insane.”
drdude81
“The more I benchmark, the more impressed I am with the MAX Engine.”
justin_76273
“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
“What @modular is doing with Mojo and the MaxPlatform is a completely different ballgame.”
scrumtuous
“Mojo and the MAX Graph API are the surest bet for longterm multi-arch future-substrate NN compilation”
pagilgukey
“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
“I tried MAX builds last night, impressive indeed. I couldn't believe what I was seeing... performance is insane.”
drdude81
“The more I benchmark, the more impressed I am with the MAX Engine.”
justin_76273
“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
“What @modular is doing with Mojo and the MaxPlatform is a completely different ballgame.”
scrumtuous
“Mojo and the MAX Graph API are the surest bet for longterm multi-arch future-substrate NN compilation”
pagilgukey
“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
“I tried MAX builds last night, impressive indeed. I couldn't believe what I was seeing... performance is insane.”
drdude81
“The more I benchmark, the more impressed I am with the MAX Engine.”
justin_76273
“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
“What @modular is doing with Mojo and the MaxPlatform is a completely different ballgame.”
scrumtuous
“Mojo and the MAX Graph API are the surest bet for longterm multi-arch future-substrate NN compilation”
pagilgukey
“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
“I tried MAX builds last night, impressive indeed. I couldn't believe what I was seeing... performance is insane.”
drdude81
“The more I benchmark, the more impressed I am with the MAX Engine.”
justin_76273
