Rade

Loves family & food. Building co-Founder The Greater Return @Invert_Wrld & MCA (acq by $CGC). Board @Bluwaveai Fmr Pres @CanopyGrowth

[Rade @Rade_NK]

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: https://t.co/6ghUXAjOgd

[PolarGrid @PolarGrid]

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
https://t.co/lStPlKl25Q

[Rade @Rade_NK]

@eshanbetrabet 💡what happens when you put Waterloo, UoT, and BCIT engineers in a room

[eshan @eshanbetrabet]

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

[BetaKit @BetaKit]

#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.

https://t.co/Zz3n4CQqmI

[Rade @Rade_NK]

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

[PolarGrid @PolarGrid]

Voice agents don’t fail on accuracy; they fail on timing.

That half-second pause gets them shelved.

We've spent the past year optimizing milliseconds because voice agents that don't match human conversational timing don't get used.

Read the article👇
https://t.co/0yATMm7G3l

[Rade @Rade_NK]

@AaronfromAntla 💪

[PolarGrid @PolarGrid]

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! 👇
https://t.co/z0X95wujOU

[Rade @Rade_NK]

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

[PolarGrid @PolarGrid]

Proud to see PolarGrid featured in @DigMedia.

We’re building what’s missing from the AI stack: an inference network designed for real-time, not batch.

Read the article below! 👇 https://t.co/Bz8VPLoONY

[Rade @Rade_NK]

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

[PolarGrid @PolarGrid]

Our Co-Founder and VP of Engineering, Sev Geraskin, will be leading a workshop at @UBC today to share @PolarGrid journey, and how we use AI to ship products faster without compromising quality!

[Rade @Rade_NK]

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

[PolarGrid @PolarGrid]

We shipped our first production management console in just over a week. No design team needed.

Here's our pipeline that replaced the months of work on our front end. 👇
https://t.co/t8oFTra23F

[Rade @Rade_NK]

@hubeiqiao @BetaKit Shoot me a DM!

[Rade @Rade_NK]

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

https://t.co/8cfua0yKQY

[Rade @Rade_NK]

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.

[Reid Hoffman @reidhoffman]

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:

[Rade @Rade_NK]

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

[Rade @Rade_NK]

@fahdananta 💯

[Rade @Rade_NK]

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.

[Rade @Rade_NK]

@hamostaf04 Facts