Here’s the quick breakdown of last week's @PolarGrid changelog: 🧠 Enhanced Intelligent Routing: Traffic dynamically routed by model and real-time load. 🎙️ Streaming STT: Real-time partial transcripts as audio arrives. ⚡ 2x Speed: In-process audio resampling cut inference times in half. 📊 Live Dashboards: Deep-dive usage analytics powered by live data. Dive into the full changelog details here: polargrid.ai/changelogs/week…

Most multi-colo inference stacks add a central brain for routing and deployment, and it becomes the bottleneck We run each edge node independently. The router makes one decision, then the client connects directly to the right GPU for low-latency inference polargrid.ai/blog/running-in…

A Waterloo student could probably scale a sovereign cloud service faster than both of these two companies in 1/100th time

#AI breaks the old internet model of cached data that's quick to access. Most AI applications generate unique responses to every prompt, so no storing for quick access. @PolarGrid's Rade Kovacevic argues latency will define the battle for AI dominance. betakit.com/latency-may-be-i…

Check out how we’re getting to sub 300ms true end to end latency for voice agents👇

Most inference still runs in centralized clouds, so requests travel hundreds/thousands of km and back. That round-trip breaks real-time apps. @PolarGrid is building a distributed edge-GPU platform so developers can run models near users. Check it out! 👇 betakit.com/latency-may-be-i…

My thoughts on the layer we still need to build for AI infra 👇

If you’re in Vancouver tonight check out Sev’s workshop!

Sev’s sharing how we think about AI enabled software dev. So many great nuggets in this one! 🔥

When we cut inference network latency, entire categories of real-time AI applications suddenly become viable. Thanks to @BetaKit for pushing the convo. betakit.com/the-canadian-com…

Know an awesome Backend Engineer with a focus on Distributed Compute Infrastructure? DM me! They'll be joining a top notch team and helping to architect distributed compute systems handling GPU-accelerated AI workloads across edge nodes with sub-10ms latency requirements.

I Am Voicepilled. A major step forward in human–computer interaction won’t come from bigger models alone, but from how we talk to them, natively, with our voices. More thoughts:

Loving each milestone we hit as we build PolarGrid! First it was the management console, now it’s our first servers booting up - can't wait for what next week will bring. The team is shipping and firing on all cylinders! So much fun

Skilled engineers combined with LLMs is empowering end to end ownership over complete features - the result we’re seeing is huge gains in time from idea to shipping.

the engineering team crushed it at the internal demo review today. engineers owning the product is working great

1/3 👾 Edge is eating everything: Local data real-time performance = the new baseline expectation.

So Scale AI got a week to savour their deal before everyone moved on to Surge AI… How fast the dominant narrative changes.

In the bay area this week meeting with folks to explore how they're transforming e-comm with AI - what amazingness have you seen so far?

Does a regular (and very busy) Shopify merchant think about what AI can do for their business and research it? Like where do we go to tell them about Antla and how much it increases conversions