Top all-time · #659
The Lambda deep learning blog
Company blog · lambdalabs.com/blog · on HN as trsohmersaihardware
The Lambda deep learning blog is the company blog at lambdalabs.com, writing about ai and hardware. Since 2018, 94 different Hacker News readers have linked it 229 times, most often “OpenAI's GPT-3 Language Model: A Technical Overview”. It is still writing: the last post was on 2026-10-21, and you can follow it by feed.
Rarely recommended · 0 of 40 sampled comments recommend it?
Why HN links it
HN readers mostly link Lambda's blog for its GPU and deep learning cost analyses, such as the GPT-3 training cost breakdown, GPU benchmarks, and a Stable Diffusion fine-tuning tutorial. Most comments are job posts or product links.
Summarised by Claude from a sample of 40 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Train and scale AI on NVIDIA VR200 NVL 72, GB300 NVL 72, B300, B200, H200, H100, and more GPUs. Launch on-demand instances or reserve a cluster. Get started.
Most-linked posts?
- OpenAI's GPT-3 Language Model: A Technical Overview13 people · 13 mentions · first linked 2020-06-10
- Lambda Deep Learning Benchmark Center8 people · 9 mentions · first linked 2021-01-04
- Deep Learning Workstations, Servers, Laptops8 people · 8 mentions · first linked 2018-08-20
- /service/gpu-cloud7 people · 19 mentions · first linked 2019-10-14
- Tensorbook deep learning laptop (2022)7 people · 7 mentions · first linked 2022-04-12
- /service/gpu-cloud7 people · 7 mentions · first linked 2022-07-28
- RTX 2080 Ti Deep Learning Benchmarks6 people · 8 mentions · first linked 2018-09-28
- V100 Server On-Prem vs. AWS P3 Instance Cost Comparison4 people · 5 mentions · first linked 2019-02-11
- 2080 Ti TensorFlow GPU Benchmarks4 people · 5 mentions · first linked 2018-10-11
- /service/gpu-cloud/reserved4 people · 4 mentions · first linked 2023-06-15
What Hacker News says?
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...
Comment linking /blog/how-to-fine-tune-stable-diffusion-how-we-made-the-text-to-pokemon-model-at-lambda
on “Stable Diffusion 2.0”Submitted Hermes 3: The First Fine-Tuned Llama 3.1 405B Model as a story · 146 points
HN discussionLambda | Senior Software Engineer | San Francisco, CA (Dogpatch) | Onsite | Full Time 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: * Bachelor's degree in technical field (CS, Physics, EE, Math, etc.) * Extremely comfortable in a…
Comment linking /careers
on “Ask HN: Who is hiring right now?”Submitted V100 Server On-Prem vs. AWS P3 Instance Cost Comparison as a story · 141 points
HN discussion(Shameless self promotion): Check out Lambda's GPU cloud: https://lambdalabs.com/service/gpu-cloud
Comment linking /service/gpu-cloud
on “DigitalOcean S-1”Submitted 2080 Ti TensorFlow GPU Benchmarks as a story · 102 points
HN discussionThe cost. Closed source and open source developers use the same $300-3,000 laptops / desktops. Everybody can afford them. Training a large model in a reasonable time costs much more. According to https://lambdalabs.com/blog/demystifying-gpt-3/ the cost of training GPT-3 was $4.6 million. Multiply it by the number of trial and errors. Of course we can't expect that something that costs tens or hundreds of millions wi…
Comment linking /blog/demystifying-gpt-3/
on “GPT-Neo – Building a GPT-3-sized model, open source and free”Submitted Best GPU for Deep Learning in 2022 (so far) as a story · 15 points
HN discussionYea we’re seeing this all over the place at Lambda ( https://lambdalabs.com ). Most people running consistent GPU training or inference jobs are building on-prem clusters or even groups of workstations. It just doesn’t make financial sense to use the big the cloud service providers for those with consistent workloads. I always hear stories where folks have saved hundreds of thousands in infrastructure costs with own…
Comment linking /
on “Andreessen-Horowitz craps on “AI” startups from a great height”Submitted TensorFlow 2.0 Tutorial 01: Basic Image Classification as a story · 14 points
HN discussionIt was a number tossed around by a GPU hosting provider, based on their own costs: https://lambdalabs.com/blog/demystifying-gpt-3/ The reality is that GPT-3 was likely "free" to train on Azure, as Microsoft has provided a lot of resources to OpenAI.
Comment linking /blog/demystifying-gpt-3/
on “GPT Neo: open-source GPT model, with pretrained 1.3B & 2.7B weight models”Submitted Deep Learning GPUs – 2080 Ti vs Tesla V100. 2080 Ti is 73% as Fast & 85% Cheaper as a story · 11 points
HN discussionLambda | Senior Software Engineer | San Francisco, CA (Dogpatch) | Onsite | Full Time 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: * Bachelor's degree in technical field (CS, Physics, EE, Math, etc.) * Extremely comfortable in a…
Comment linking /careers
on “Ask HN: Who is hiring? (May 2020)”Submitted RTX 2080 Ti Deep Learning Benchmarks as a story · 9 points
HN discussionLambda | System Software / GPU Cloud Infrastructure Engineer | San Francisco, CA (Dogpatch) | Onsite | Full Time We're looking for a system software engineer who wants to build a deep learning GPU cloud management system. You will: * Architect and author GPU cloud management software * Build reliable, scalable, highly available systems Required Experience: * Bachelor's degree in technical field (CS, Physics, EE, Mat…
Comment linking /
on “Ask HN: Who is hiring? (November 2018)”Submitted Lambda GPU Cloud launches RTX A6000 instances as a story · 8 points
HN discussionLambda Labs offers both on-demand and reserved instances that are much cheaper than other providers - https://lambdalabs.com/service/gpu-cloud/pricing
Comment linking /service/gpu-cloud/pricing
on “15.ai”Submitted Tensorbook deep learning laptop (2022) as a story · 6 points
HN discussionLambda Labs crunched the numbers in Feb 2022 [0]. They concluded: “”” So, which GPUs to choose if you need an upgrade in early 2022 for Deep Learning? We feel there are two yes/no questions that help you choose between A100, A6000, and 3090. These three together probably cover most of the use cases in training Deep Learning models: Do you need multi-node distributed training? If the answer is yes, go for A100 80GB/4…
Comment linking /blog/best-gpu-2022-sofar/
on “GPU mining no longer profitable after Ethereum merge”Submitted Lambda launches Tesla V100 Cloud: 50% less than AWS as a story · 6 points
HN discussionhttps://lambdalabs.com/gpu-benchmarks
Comment linking /gpu-benchmarks
on “GPU mining no longer profitable after Ethereum merge”Submitted RTX 3090, 3080, and 3070 Deep Learning Hardware Guide as a story · 5 points
HN discussionLambda | Senior Software Engineer | San Francisco, CA (Dogpatch) | Onsite | Full Time 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: * Bachelor's degree in technical field (CS, Physics, EE, Math, etc.) * Extremely comfortable in a…
Comment linking /careers
on “Ask HN: Who is hiring? (June 2020)”Submitted Choosing the Best GPU for Deep Learning in 2020 as a story · 5 points
HN discussionLambda | System Software Engineer - GPU Cloud | San Francisco, CA (Dogpatch) | Onsite | Full Time We're looking for a system software engineer who wants to build a deep learning GPU cloud management system. You will: * Architect and author GPU cloud management software * Build reliable, scalable, highly available systems Required Experience: * Bachelor's degree in technical field (CS, Physics, EE, Math, Staistics, e…
Comment linking /careers
on “Ask HN: Who is hiring? (May 2019)”Submitted Training Neural Networks in Record Time with the Hyperplane-16 as a story · 5 points
HN discussionLambda | Linux Technical Support Specialist | San Francisco, CA (Dogpatch) | Onsite | Full Time | https://lambdalabs.com We're looking for a linux technical support specialist who wants to help provide our customers with world class UNIX/Linux support for their GPU servers, workstations, laptops, and cloud instances. * Be first point of contact for all incoming technical support questions (phone, email, chat, and fo…
Comment linking /careers
on “Ask HN: Who is hiring? (July 2019)”Submitted Lambda Stack: 2-Minute Install for PyTorch, TensorFlow, CUDA, CuDNN as a story · 4 points
HN discussionLambda | Software Engineer - GPU Cloud | San Francisco, CA (Dogpatch) | Onsite | Full Time | https://lambdalabs.com We're looking for a system software engineer who wants to build a deep learning GPU cloud management system. You will: * Architect and author GPU cloud management software * Build reliable, scalable, highly available systems Required Experience: * Bachelor's degree in technical field (CS, Physics, EE,…
Comment linking /careers
on “Ask HN: Who is hiring? (July 2019)”Submitted Lambda Deep Learning Workstations with RTX 3090, 3080, 3070 as a story · 4 points
HN discussion
