DGX Spark

3 statements across 2 episodes · 3 bullish · 0 bearish · 2 people on the record · first statement Mar 8, 2026 by Nader Khalil · said 5 times in 2 episodes since 2026 · across every show →

Mentions by year

brought up most by Eiso Kant (3), Nader Khalil (2)

tap a year for its mentions
0031522026episodesmentions
0122026episodes it came up in
001.312.522026episodesmentions per episode

every mention, scene by scene, with the transcript →

Everything said about DGX Spark, oldest first

Mar 8, 2026 positive
Assertion Supported
NVIDIA releases DGX Spark model router to dynamically route local inference
“We actually, for CES, we just released the model router. So for DGX Spark, where you can have a local model that's running on the Spark and then also a foundation model. And then the model order decides when to send queries to which one.”
Nader Khalil Mar 8, 2026 ▶ 1:17:16 Agent Inference at the "Speed of Light" — How NVIDIA moves like a $4.3 Trillion Startup
Mar 8, 2026 positive
Disclosure
NVIDIA Brev launches DGX Spark hardware registration in early access
“And one thing we just launched at CES, it's in, it's still in like early access. We're ironing out some kinks, but it should be ready by GTC. You can register your Spark on Brev.”
Nader Khalil Mar 8, 2026 ▶ 13:29 Agent Inference at the "Speed of Light" — How NVIDIA moves like a $4.3 Trillion Startup
Jul 22, 2026 positive
Assertion Supported
Kant: Poolside's 8B-active Laguna S solved Erdős 397 on DGX Spark
“A 118,000,000,008 B active model, which is not that large. It fits on a DGX spark and still runs at, you know, 3040 tokens a second on a spark is able to solve. Erdos three 97 independently. It's able to do complex programming tasks.”
Eiso Kant Jul 22, 2026 ▶ 39:09 The AI Frontier: from open weights to open research — Eiso Kant, Poolside AI
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 200 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.