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PgEdge Goes Open Source

In November last year after nearly two decades at my previous gig, I came to the conclusion that I didn’t want to work at what seemed to be rapidly becoming an AI-focused company and moved to pgEdge where the focus is well and truly on distributed PostgreSQL and Postgres generally. Distributed databases (and particularly Postgres of course) have always been a passion of mine – even being a key topic of my master’s dissertation many years ago. Moving to pgEdge was a breath of fresh air. Not only

The race to build a distributed GPU runtime

For a decade, GPUs have delivered breathtaking data processing speedups. However, data is growing far beyond the capacity of a single GPU server. When your work drifts beyond GPU local memory or VRAM (e.g., HBM and GDDR), hidden costs of inefficiencies show up: spilling to host, shuffling over networks, and idling accelerators. Before jumping straight into the latest distributed computing effort underway at NVIDIA and AMD, let’s quickly level set on what distributed computing is, how it works, a

Polars Cloud and Distributed Polars now available

After working hard since our Polars Cloud announcement last February, we are pleased to officially launch Polars Cloud. Polars Cloud is now Generally Available on AWS. Beyond that, we also launched our novel Distributed Engine in Open Beta on Polars Cloud. You can immediately get started at https://cloud.pola.rs/. After that you can fire a remote distributed query: import polars_cloud as pc import polars as pl from datetime import date with pc . ComputeContext ( workspace = "<my-workspace>" ,

Cedana (YC S23) Is Hiring a Systems Engineer

At Cedana, we are solving what many thought was impossible: the seamless, live migration of active CPU+GPU containers across global compute. We're building the next generation of AI orchestration systems, founded on our pioneering work in checkpoint/restore technology. This isn't just an incremental improvement; it's a fundamental shift that makes distributed computing truly portable, elastic, and resilient across planet scale compute. This is an exceptionally difficult systems problem that req

Swift-erlang-actor-system

I'm excited to share a new actor system we've been building for Swift's distributed actors: swift-erlang-actor-system. This actor system enables Swift programs to join a distributed Erlang cluster. Here's an example of a simple chat program using the actor system: Demo Video Erlang (and other languages that run on its VM) can connect multiple runtime systems together with distributed Erlang. Each runtime is referred to as a "node". Erlang also supports "C nodes", which allow a program other