Interview with Chris Lattner about the Mojo language.
(The Mojo hype is real! It's a trending technology targeted AI space - the development of AI engines and models for the real world.)
https://youtu.be/JRcXUuQYR90
#Mojo
(The Mojo hype is real! It's a trending technology targeted AI space - the development of AI engines and models for the real world.)
https://youtu.be/JRcXUuQYR90
#Mojo
How Mojo speeds up computations so tremendously - from its creator, Chris Lattner:
https://youtu.be/SEwTjZvy8vw
#Mojo
#MojoLang
https://youtu.be/SEwTjZvy8vw
#Mojo
#MojoLang
YouTube
2023 LLVM Dev Mtg - Mojo 🔥: A system programming language for heterogenous computing
2023 LLVM Developers' Meeting
https://llvm.org/devmtg/2023-10
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Mojo 🔥: A system programming language for heterogenous computing
Speaker: Abdul Dakkak, Chris Lattner, Jeff Niu
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Slides: https://llvm.org/devmtg/2023-10/slides/keynote/Mojo.pdf
-…
https://llvm.org/devmtg/2023-10
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Mojo 🔥: A system programming language for heterogenous computing
Speaker: Abdul Dakkak, Chris Lattner, Jeff Niu
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Slides: https://llvm.org/devmtg/2023-10/slides/keynote/Mojo.pdf
-…
A really good and deep (on compiler and dataflow level) explanation from Chris Lattner, author of Mojo, Swift and LLVM, about move semantics, ownership model, borrowing and lifetimes, on example and in comparison of Mojo, Rust, and C++ approaches to that conceptions. Must watch!
https://www.youtube.com/watch?v=9ag0fPMmYPQ
#Mojo
#MojoLang
#Rust
#RustLang
https://www.youtube.com/watch?v=9ag0fPMmYPQ
#Mojo
#MojoLang
#Rust
#RustLang
YouTube
Mojo🔥: a deep dive on ownership with Chris Lattner
Learn everything you need to know about ownership in Mojo, a deep dive with Modular CEO Chris Lattner
If you have any questions make sure to join our friendly Discord community: https://modul.ar/discord
If you're ready to get started with Mojo, check out…
If you have any questions make sure to join our friendly Discord community: https://modul.ar/discord
If you're ready to get started with Mojo, check out…
Amazing things has been released by Modular development team (Mojo language and Max inference backend):
https://www.modular.com/blog/max-25-2-unleash-the-power-of-your-h200s-without-cuda
#Mojo
#MAX
#AI
#AGI
https://www.modular.com/blog/max-25-2-unleash-the-power-of-your-h200s-without-cuda
#Mojo
#MAX
#AI
#AGI
Modular
Modular: MAX 25.2: Unleash the power of your H200's–without CUDA!
We’re excited to announce MAX 25.2, a major update that unlocks industry-leading performance on the largest language models–built from the ground up without CUDA.
Technologique
Amazing things has been released by Modular development team (Mojo language and Max inference backend): https://www.modular.com/blog/max-25-2-unleash-the-power-of-your-h200s-without-cuda #Mojo #MAX #AI #AGI
Modular provides MAX platform - it is MAX inference backend (engine) and MAX inference server (MAX Serve).
Just look at this:
https://builds.modular.com/models/DeepSeek-R1-Distill-Llama/8B-Q6_K
https://builds.modular.com/models/Llama-3.3-Instruct/70B?tab=deploy
In terms of deployment it is fantastic! Just one (relatively) tiny container!
And in terms of programming - GPU programming and acceleration without CUDA, using Mojo language (statically LLVM compiled), which has capabilities of Rust (static memory safety), LLVM MLIR (Multi-Level Intermediate Representation) byte code compilation for amazing low level code optimization and acceleration, syntax of Python and Mojo integrates (embrace) the whole Python ecosystem. I'm playing with Mojo for quite a while already (and it is best of both worlds - Rust and Python), but MAX just used recently. And Llama.cpp not even in comparison with MAX!
#Mojo
#MAX
#AI
#AGI
Just look at this:
https://builds.modular.com/models/DeepSeek-R1-Distill-Llama/8B-Q6_K
https://builds.modular.com/models/Llama-3.3-Instruct/70B?tab=deploy
In terms of deployment it is fantastic! Just one (relatively) tiny container!
And in terms of programming - GPU programming and acceleration without CUDA, using Mojo language (statically LLVM compiled), which has capabilities of Rust (static memory safety), LLVM MLIR (Multi-Level Intermediate Representation) byte code compilation for amazing low level code optimization and acceleration, syntax of Python and Mojo integrates (embrace) the whole Python ecosystem. I'm playing with Mojo for quite a while already (and it is best of both worlds - Rust and Python), but MAX just used recently. And Llama.cpp not even in comparison with MAX!
#Mojo
#MAX
#AI
#AGI
Modular
DeepSeek-R1-Distill-Llama-8B-Q6_K Model | MAX Builds
DeepSeek-R1 models improve reasoning through reinforcement learning and fine-tuning, outperforming major benchmarks.