Junjie B.

"And we are also excited at the potential for AI to help reproduce packages: Build and release processes are often described in natural language documentation which, while difficult to utilize with discrete logic, is increasingly useful to language models. Our initial experiments have demonstrated the approach's viability in automating exploration and testing, with limited human intervention, even in the most complex builds." https://lnkd.in/gUsC4ZJw

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NVIDIA CEO Jensen Huang argued AI creates jobs rather than destroying them. Dank Daily #0069.1 — Nvidia CEO Jensen Huang wrote in a rare blog post that AI creates more jobs than it eliminates by generating new roles in AI training, model deployment, and building AI-powered products that didn't exist before. He pointed to increased demand for AI engineers, prompt engineers, and specialists who train models for specific industries as evidence that AI expands employment rather than just automating existing roles. This counters the common narrative that AI will cause mass unemployment, arguing instead that AI creates entirely new categories of work similar to how the internet spawned jobs that couldn't have existed in the pre-digital economy. #DankDaily #AI

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Excited to share that the Hammerspace team is in Santa Clara this week for an intensive AI Advisor training session at NVIDIA! We’re diving deep into the latest advancements in GPU-accelerated infrastructure, AI data pipelines, and how to best architect global data environments that connect generative, agentic and physical AI. As the demand for AI explodes, one thing is crystal clear: performance is no longer just about compute — it’s about making exabytes of unstructured data instantly available to GPU clusters anywhere in the world, without friction or copying. That’s the Hammerspace mission, and this training is arming our team with even more expertise to help customers build faster, simpler, and more efficient AI factories. Grateful to the incredible NVIDIA team for the world-class instruction and to our crew for leveling up. The future of AI is being built on data, and we’re proud to be part of making it unstoppable. #AI #GenerativeAI #GPU #DataForAI #AIanywhere #Hammerspace #NVIDIA 🚀

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Some of the most promising AI companies on my radar are targeting what my partners Jaya Gupta and Ashu Garg call “glue functions.” Historically, roles like RevOps, DevOps, SecOps, etc grew in popularity because someone needed to carry context across functions. Someone had to pull data from one system, check something in another, apply some judgment, and move the process forward. Traditional software captured state inside individual systems, but it rarely encoded the cross-functional logic that actually drives decisions. So companies created glue roles to bridge the gaps. In contrast, agents are perfectly suited for these roles - making glue functions a natural wedge for the next generation of AI companies. Check out their full p.o.v. here: https://lnkd.in/gV_u3ngU

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We hit the limits of traditional vector search architectures at billion-scale and redesigned ours from scratch. This post dives into the engineering behind decoupled storage/compute, distributed indexing on Spark, and a Rust query engine.

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