Lambda

““ As a start u p w e prioriti z e optionality , and t h at w as h ard to f ind in some o f t h e ot h er players in t h e market ””

“I really like the fact that [Lambda] has a slack channel, because we use slack. It integrates very well. Basically, I consider the Lambda team as part of our own team,”

“With Lambda, the iteration speed was twice the previous speed.”

“Having a direct line to Lambda's team across multiple real-time communication channels means downtime is not something we stress about. We flag an issue, and they are on it immediately.”

“We build AI that drives vehicles without anyone in the cab. We are not GPU training infrastructure experts.”

““ The scale and stability of the Lambda cluster, accelerated by NVIDIA, helped enable us to train NeuralPLexer3. We would not have trained as large of a model if we had to use less stable, less scalable systems.””

““Lambda is proactive in working with us to navigate how best to make use of Kubernetes clusters for high performance computing.””

““This field is so complex that AI might understand it better than humans. Our challenge is to build models that can take us beyond our current limits—Lambda is helping us get there.””

““Not only does Lambda solve problems, but they explain their solutions in a way that helps us improve our internal processes. It’s been an invaluable learning experience.””

““We trust Lambda with our most important assets. If our systems are down because of the GPU... our customers are angry. Having…sub 1-hour responses…is great and having people we trust responding to our tickets…that’s our reputation on the line,””

““We are a very agile startup, it's a very, very competitive market and we want to iterate fast, right? If I have a cool idea, I need like 22 GPU assets for a week, I don't want to wait four days to go into a sales meeting and then another four days [to finalize a contract and get going] … I think that’s the main benefit I see from my 1CC.””

““I saw 1CC... and I was like, this is an amazing idea... Lambda has [a model where you pay only for what you need without us needing to spend time working out a short-term agreement—it was all basically self-serve.]””

““User count means that there is more inference demand. More inference demand means that compute demand will increase. That's just simple logic. As GPU clusters grow in size, managing the dynamic nature of user demand and efficiently scaling resources becomes increasingly complex. Support is crucial to deliver a great user experience, and this is what Lambda is good at. ””

““Th e t w o reall y big t h ings t h at h ave been w onderful for us are fle x ibilit y and optionalit y , and t h e w a y t h at t h at h as been so muc h better set up from Lambda for an industr y t h at is fast moving and ver y y oung and needs to adjust constantl y and can't be loc k ed into somet h ing because w e don't k no w wh at's going to h appen in t h e ne x t t h ree da y s, muc h less t h ree y ears . Th at's a h uge differentiation point for Lambda . ””