sabalaba

Is HN the last refuge of real internet discourse? While some of the replies are very Reddit m-coded, it still feels like real humans. I wonder how long this will last before the agents take over.

USPS profits from advertising inserted into mail. https://www.usps.com/business/every-door-direct-mail.htm

We hosted DeepSeek R1 671b for free. We don’t train on your data and are working to train an uncensored finetune of the model.

We just dropped our H100 on-demand prices to 1.99/hr. It's now the lowest in the world, you don't need to talk to a sales person, and it's available now: https://t.co/AcqRIITS1s

Great summary of the industry. I do want to point out that we actually have the lowest price for H100s: 1.89/hr. Coreweave’s pricing requires long term commitment and you’re comparing our on demand PCIe cloud to their ‘reserved’ h100 cloud. Our reserved H100 + InfiniBand cloud is priced as follows and is the lowest in the world:

$1.89 / hour for 100% upfront

$2.04 / hour for 80% upfront

$2.15 / hour for monthly payment

See: https://lambdalabs.com/service/gpu-cloud/reserved

We have lots of H100s available right now.

Lambda Cloud has A100 40GB for $1.10/hr—less than half the price of OP). We also just launched H100s for $2.40/hr.

https://lambdalabs.com/service/gpu-cloud

Lambda GPU Cloud is extremely cheap as well (1/4 the price of Amazon) and we have recently added lots of capacity.

For GPU instances, Lambda Cloud has A100s for $1.10/hr and A10 instances for $0.60/hr.

https://lambdalabs.com/service/gpu-cloud

Here’s a tutorial on how to fine tune stable diffusion form the guy who made text-to-pokemon:

https://lambdalabs.com/blog/how-to-fine-tune-stable-diffusio...

I re-implemented this in python. Was a pretty fun project. Tromp is awesome.

http://stephenbalaban.com/a-binary-lambda-calculus-parser-in...

liuliu has always been a fucking god

Lambda GPU Cloud has the cheapest A100s of that group. https://lambdalabs.com/service/gpu-cloud

Lambda A100s - $1.10 / hr Paperspace A100s - $3.09 / hr Genesis A100s - no A100s but their 3090 (1/2 the speed of 100) is - $1.30 / hr for half the speed

Surprised no mention of New Worlds Ateraan, a great MUD. Just need telnet.

For those affected and wanting to run your stable diffusion notebook more, you can always spin up a notebook on Lambda cloud with A100s for only $1.10/hr. PyTorch, TensorFlow, and Jupyter notebooks are pre-installed:

https://lambdalabs.com/service/gpu-cloud

Lambda has $1.10/hr A100 instances. That's less than half the price of GCP on demand. https://lambdalabs.com/service/gpu-cloud

I know it sounds obvious. But if you want to talk to users, just build a little feedback mechanism to talk with users.

Write 10-30 random prompts: “what do you hate about this page”, “what do you love about this app”, “what do you wish you could do”, etc. show them the prompt and log a free form response. Simple as. We’re talking a few hours of work.

Also, find your most engaged users via your analytics and email them to do a video interview to understand how they use the product. Try to find overlaps between them that you can use to target new customers.

Nice tutorial, we worked with the Razer BIOS team to find the touchpad problem and fix it. And we use the 5.15 kernel to fix a handful of the other hardware issues when running Linux on the Razer hardware.

We can run the battery issue / suggestion by the Razer BIOS team.

https://lambdalabs.com/lambda-stack-deep-learning-software is an even better way to install the full stack if you want to do it all yourself. It's free.

The target market for this is people who don't want to have to manage a Linux machine learning environment. If you want to least expensive access to GPU compute, you should design a workstation, purchase all of the parts yourself on newegg or amazon, personally take the risk of a part failing, and fully support yourself. That is probably the least expensive way to get a computer in 2022.

This is definitely targeted to people who place a premium on their own time and effort.

We (Lambda) have all of the different NVIDIA GPUs in stock ---- can you send a message to sales@lambdalabs.com and check in again with your requirements? We're seeing a lot more stock these days as the supply chain crisis of 2021 comes to an end.

I originally put this together for a conference last year and finally got a chance to upload it to youtube. Here's the full document & video presentation associated with it:

video presentation: https://www.youtube.com/watch?v=3EnIW0EZkr4 slide pdf: https://files.lambdalabs.com/lambda-machine-learning-infrast...

Found this on a list of AAA video game titles with source code available. It's really amusing to look through, relatively bare bones C. Very funny comments and last minute changes due to play testing:

    #ifdef PSX_VERSION
     int  keepitopen=0; // MAJOR FRIG X 1,000,000

     // SONY AMERICA DIRECTIVE NO.A23
     // It is written: Everyone, given the chance, will jump off the boat, just
     // before they are about to completed the level, in order to play an extra couple of
     // minutes from their last save game. (They love it).  Add all such people together,
     //  counting each person as a brain cell, and you will have a brain about the size of
     // a Sony play tester.
    
     // Sorry Gav, but this had to be done!
     // Check if the boat has gone thru the door without lara,
     // if it has then keep the door open.
     if (objects[BOAT].loaded && lara_inboat==0 &&
      boatitem->pos.x_pos>24500 && boatitem->pos.x_pos<26500 &&
      boatitem->pos.z_pos>75500 && boatitem->pos.z_pos<83000)
      keepitopen = 1;
    #endif

Seems like it was made by a small group of programmers (at least according to GAME.h)

    #define ANDREWH 0
    #define GAV 1
    #define JASON 2
    #define RICHARD 3
    #define NUM_CODERS 4

Always a pleasure to go through code of a game that you loved playing and get to see how the magic happens. It's way "dirtier" than I expected. That says a lot about how games and (software that ships) are actually made.

I can tell you that manufacturing businesses are difficult to manage, have thousands of moving parts if not millions, those parts are more often than not human.

It's like a choreographed dance with millions of people simultaneously, somebody is bound to trip over their laces.

You can check out some of the benchmarks here: https://lambdalabs.com/blog/nvidia-rtx-a6000-benchmarks/

It provides some modern, real life, deep learning benchmarks using the mixed precision (TF32) that gp was referring to.

You can’t own 50% of more of a company you invest in using your self directed Roth IRA. So, QSBS is great for founders who own 50% or more.

$10s of millions of dollars

Lambda | Senior Software Engineer | Distributed | Remote | Full Time

Remote first! We're looking for a software engineer who wants to write code at our Deep Learning workstation and server company.

You will:

* Be responsible for the full stack

* Build reliable, scalable, highly available systems

Required Experience:

* Minimum 2 years experience shipping software products

* Bachelor's degree in technical field (CS, Physics, EE, Math, etc.)

* Extremely comfortable in a Linux/Unix shell

===

Lambda is a distributed remote first company headquartered in San Francisco, CA.

Apply to: https://lambdalabs.com/careers

Amazing, software truly is eating the world.

Because you’re not paying them enough? Supply and demand.