Infinite scale made easy for the largest AI workloads

Mammoth is our kubernetes-native cloud technology that powers our deployment, scale and management of GenAI applications.

Where Mammoth stands out

  • Any cloud, any model

    We’re built from the ground up to work with any technology. Check out our model library, and if you don’t see your model, let us know, and we’ll optimize it right away. No matter what cloud, or what model. we’re built for the future and any industry changes that come - and they will!

  • Hardware Portability

    Modular is the only platform built from the ground up for the future of Generative AI portability. Today we deploy seamlessly to NVIDIA, AMD, and CPUs. Whatever tomorrow brings, we’ll be the firs tto support it.

  • Disaggregated inference

    By separating the LLM’s inference phases and providing each phase with dedicated resources, we have improved performance and scalability. If reducing latency is your goal, we’ve got you covered.

Intelligent routing

Smart routing at scale

Mammoth consists of a lightweight control plane, intelligent router, and disaggregated serving backends, working together to efficiently deploy and run models across diverse hardware environments.

Components of mammoth

Intelligent model placement

Mammoth's built-in router intelligently distributes traffic, taking into account hardware load, GPU memory, and caching states. Deploy and serve multiple models simultaneously across different hardware without complexity.

  • Mammoth orchestrator

    Rather than simply forwarding requests to the next available worker, the orchestrator uses configurable routing strategies to intelligently direct traffic.

  • Performance optimization at every level

    Through disaggregated inference, we have done the work to separate the model’s inference phases and optimized performance at every step.

Developer Approved 🧑💻

feels like black magic

@ Theodore Papamarkou

"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!"

100x faster than Python

@ Kinbert Chou

"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."

Performance and ease of use

@ hammad ali

"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."

breath of fresh air

@ Carl Caulkett

"it was a breath of fresh air, combining the approachability of Python with the strictness of Rust or Scala."

genuinely exciting

@ Vishnu

"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."

actually flies on the GPU

@ Sanika

"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."

pure iteration power

@ Jayesh

"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."

impressed

@ justin_76273

“The more I benchmark, the more impressed I am with the MAX Engine.”

performance is insane

@ drdude81

“I tried MAX builds last night, impressive indeed. I couldn't believe what I was seeing... performance is insane.”

easy to optimize

@ dorjeduck

“It’s fast which is awesome. And it’s easy. It’s not CUDA programming...easy to optimize.”

potential to take over

@ svpino

“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.”

was a breeze!

@ NL

“Max installation on Mac M2 and running llama3 in (q6_k and q4_k) was a breeze! Thank you Modular team!”

high performance code

@ jeremyphoward

"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."

one language all the way

@ fnands

“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.”

works across the stack

@ scrumtuous

“Mojo can replace the C programs too. It works across the stack. It’s not glue code. It’s the whole ecosystem.”

completely different ballgame

@ scrumtuous

“What @modular is doing with Mojo and the MaxPlatform is a completely different ballgame.”

AI for the next generation

@ mytechnotalent

“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.”

surest bet for longterm

@ pagilgukey

“Mojo and the MAX Graph API are the surest bet for longterm multi-arch future-substrate NN compilation”

potential to take over

@ svpino

“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.”

12x faster without even trying

@ svpino

“Mojo destroys Python in speed. 12x faster without even trying. The future is bright!”

feeling of superpowers

@ Aydyn

"Mojo gives me the feeling of superpowers. I did not expect it to outperform a well-known solution like llama.cpp."

very excited

@ strangemonad

“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.”

impressive speed

@ Adalseno

"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."

amazing achievements

@ Eprahim

“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.”

Community is incredible

@ benny.n

“The Community is incredible and so supportive. It’s awesome to be part of.”

excited to see this coming together

@ strangemonad

“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.”

everyone is excited

@ Eprahim

“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.”

one language all the way through

@ fnands

“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 is be awesome.”

huge increase in performance

@ 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."

The future is bright!

@ mytechnotalent

Mojo destroys Python in speed. 12x faster without even trying. The future is bright!

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