[areddyyt]

We've spent a lot of time thinking about these things, in particular, the 3Ps.

Part of making the one line of code work is addressing programmability. If you're on Jetson, we should load the CUDA kernels for Jetson's. If you're using a CPU, we should load the CPU kernels. CPU with AVX512, load the appropriate kernels with AVX512 instruction, etc.

The end goal is that when we introduce our custom silicon, one line of code should make it far easier to bring customers over from Jetson/any other platform because we handle loading the correct backend for them.

We know this will be bordering impossible, but it's critical to ensure we take on that burden rather than shifting it to the ML engineer.

[danjl]

Why start a company to make this product? Why not go work at one of the existing chip manufacturers? You'd learn a ton, get to design and work on HW and/or SW, and not have to do the million other things required to start a company.

[areddyyt]

We were waiting for a Bitnet-based software and hardware stack, particularly from Microsoft, but it never did. We were essentially nerd-sniped into working on this problem, then we realized it was also monetizable.

On a side note, I deeply looked into every company in the space and was thoroughly unimpressed with how little they cared about the software stack to make their hardware seamlessly work. So, even if I did go to work at some other hardware company, I doubt a lot of customers would utilize the hardware.

[danjl]

I recommend getting a job at NVIDIA. They care deeply about SW. It is a great place to learn about HW and the supporting SW. There is much to learn. Maybe you will learn why you are unimpressed with their SW offerings. For me, the hard part was the long lead time (8+ years) from design to customers using the product. One of the things that always amazed me about NVIDIA was that so many of the senior architects, who have no financial need to keep working (true for more than a decade), are still working there because they need the company to do what they love.

[areddyyt]

I think there is a comment somewhere here where I comment on NVIDIA, but I think NVIDIA is the best hardware company for making good software. We had a very niche software issue for which NVIDIA maintained open-source repos. I don't think NVIDIA's main advantage is its hardware, though; I think it's the software and the flexibility it brings to its hardware.

Suppose that Transformers die tomorrow, and Mamba becomes all the rage. The released Mamba code already has CUDA kernels for inference and training. Any of the CSPs or other NVIDIA GPU users can switch their entire software stack to train and inference Mamba models. Meanwhile, we'll be completely dead in the water with similar companies that made the same bet, like Etched.

[danjl]

You said (implied?) that your reason for starting a company was that you were waiting for somebody (MS) to build your favorite tech, and you realized it was monetizable. Finding a gap is a great start. But, if money is your goal, it is far easier to make money working at a company than starting one. Existing companies are great places to learn about technology, business, and the issues that should really drive your desire to start something yourself.

[areddyyt]

I don't think I ever implied we started this for money. We started working on the technology because it was exciting and enabled us to run LLMs locally. We wouldn't have started this company if someone else came along and did it, but we waited a month or two and didn't see anyone making progress. It just so happens that hardware is capital intensive, so making hardware means you need access to a lot of capital through grants (which Dartmouth didn't have for chip hardware) or venture capital (which we're going for now). I'm not sure where you got the idea we're doing this solely for money when I explicitly said "We were essentially nerd-sniped into working on this problem"

[simne]

> I think NVIDIA is the best hardware company for making good software

I must support Your words. Long time I thought that Intel is the best, but unfortunately I could not anymore.

Must admit, I still don't understand, how it happened, but now NVIDIA is best.

[areddyyt]

100%.

When performing performance optimization on CPUs, I was impressed with Intel's suite of tools (like VTUNE). NVIDIA has some unbelievable tools, like Nsys and, of course, its container registry (NGC), which I think surpasses even Intel's software support.