11 of 14 posting · 67 posts · 21 Aug to 1 OctSince 1 Jul6 weeks4 weeks2 weeks

Erran Berger

CTO, EngineeringLinkedIn profile
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Engineering and infrastructure457%41
AI and work114%107
What they claim · 7
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Owning our technology stack end-to-end enables us to optimize every layer - something that becomes increasingly important as we deploy ever-hungrier AI workloads. When we decided to double down on our own data centers and infrastructure rather than continue… moreOwning our technology stack end-to-end enables us to optimize every layer - something that becomes increasingly important as we deploy ever-hungrier AI workloads. When we decided to double down on our own data centers and infrastructure rather than continue migrating to Azure, it really came down to timing and scale. Azure was growing at an incredible rate (and still is!) because customer demand was going through the roof, and LinkedIn was seeing its own skyrocketing growth at the same time. Building fresh for the platform we needed was the right strategic bet for LinkedIn's future. While the internet's ChatGPT moment hadn't happened yet, we already saw companies like Meta reaping the benefits of developing larger and larger AI models, and the leverage from the systems they were building to support them. We bet on building that same kind of foundation ourselves and years later, the payoff is that our engineers can design entire systems end-to-end: intelligently splitting inference workloads across GPUs and CPUs, distilling large models into smaller ones that are very good at solving a specific optimization problem, and going as deep as writing our own GPU kernels with Liger Kernel to squeeze more out of every training run. Owning all of this made our teams more disciplined and more creative at the same time. Thanks to Frederic Lardinois for a great conversation at the WeAreDevelopers Conference - video to come!
88 reactions · 2 comments · – repostsOpen on LinkedIn
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Erran Berger25 SeptRepost with commentaryEngineering and infrastructure
This is truly awesome.
Urs Hölzle
A huge first in databases: dynamically scale up a true postgres DB to 1,000 machines and back to 4 cores in two minutes! This is real SQL, not a subset: the… moreA huge first in databases: dynamically scale up a true postgres DB to 1,000 machines and back to 4 cores in two minutes! This is real SQL, not a subset: the full power of relational SQL, hybrid search (vector, full-text, spatial), and indexes, one terabit/sec throughput. Only GCP can do that 👍 More detail here: https://lnkd.in/gcuiD3-u
25 reactions · – comments · – repostsOpen on LinkedIn
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Through 17 years of working at LinkedIn, I think I’ve interviewed thousands of candidates and there are a few things that consistently surprise people about us. From operating our own datacenters to our traffic scale to the innovation we're doing with AI… moreThrough 17 years of working at LinkedIn, I think I’ve interviewed thousands of candidates and there are a few things that consistently surprise people about us. From operating our own datacenters to our traffic scale to the innovation we're doing with AI across both consumer and enterprise, it's a pretty remarkable range. I recently sat down with Tim Jurka and Wenjing Zhang to discuss some of the technical challenges we're tackling that aren’t always obvious from the outside. Check it out!
168 reactions · 7 comments · 1 repostOpen on LinkedIn
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Clicked this link on a whim this morning and after 5 minutes I was completely sucked in. I always love hearing how people at the top of their craft actually work… especially when the biggest breakthroughs are sometimes totally accidental. If you’ve got an… moreClicked this link on a whim this morning and after 5 minutes I was completely sucked in. I always love hearing how people at the top of their craft actually work… especially when the biggest breakthroughs are sometimes totally accidental. If you’ve got an hour this weekend and love pop music, have a listen. The stories behind Moves Like Jagger (Maroon 5) and Diamonds (Rhianna) alone are worth it. https://lnkd.in/dawGqg8G
57 reactions · 10 comments · 1 repostOpen on LinkedIn
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Erran Berger25 AugRepost with commentary
This is wild.
Augustus Doricko
Rainmaker just produced ~19M gallons of water in Alaska via next-gen cloud seeding over 3 hours of operations. We are the first company to provably produce… moreRainmaker just produced ~19M gallons of water in Alaska via next-gen cloud seeding over 3 hours of operations. We are the first company to provably produce precipitation in Alaska. As promised, we’ve linked our white paper and relevant data. In the future, Rainmaker will protect and restore glaciers with man-made snowfall. Immediately, this demonstration shows how Rainmaker will add new water to the Colorado River and Great Salt Lake in the coming months. We turned around this analysis and white paper just a couple days after operating. There are many data sources I want to deepen our understanding of the atmosphere and increase our provable production; we’re building the instruments to collect that data in subsequent operations. But at Rainmaker, we won’t tout LOIs, simulations, or lab tests. What matters is physically measuring that you’ve affected the atmosphere; proving that we’ve produced water. We prefer sharing only the tech that has proven to make more water for farms, industries, and ecosystems in need. Expect a regular cadence of these from us as we build the best atmospheric science lab in the world. Feedback is welcome in the interim. Rainmaker Century. https://lnkd.in/gHi8YQSB
72 reactions · 9 comments · – repostsOpen on LinkedIn
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Abigail Carlton
AI is reshaping how we work. But are we doing enough for young people to navigate this shift? Young talent is uniquely positioned to shape how AI transforms… moreAI is reshaping how we work. But are we doing enough for young people to navigate this shift? Young talent is uniquely positioned to shape how AI transforms the world of work, if we set them up for success. This means employers, educators, and workforce organizations need to ensure they continue to have access to meaningful early-career opportunities. In our Forbes op-ed, Susan Murray and I share why rethinking career pathways matters for the next generation, and for the organizations and economy they'll help build. https://lnkd.in/gmevusBU
Erran Berger21 AugRepost with commentaryText cut shortEngineering and infrastructure
Must read alert!
Lea Kissner
I can't believe that our new book, "Building Safer Technology: A Field Guide to Failing Well" is here and in print. This book teaches how to think about… moreI can't believe that our new book, "Building Safer Technology: A Field Guide to Failing Well" is here and in print. This book teaches how to think about building technology in a world where things fail -- security, privacy, trust&safety, AI safety, and more. Because we concentrate on the underlying thinking and skills, this is durable knowledge which you can use even as the details of the technology changes every single day. I don't have a copy yet, so you might be able to get one before I do! Get it from the publisher: https://lnkd.in/gG3G7Bzn Or Amazon: https://lnkd.in/g4r2QH8Y
51 reactions · 5 comments · 1 repostOpen on LinkedIn
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