the localhost:0008 | return of the workstation
Download MP3Linus Tech Tips asked who on earth buys a $6,000 AI laptop. Frank has a machine with two graphics cards in his office that never turns off. So who's right?
Cloud AI keeps getting cheaper. AI hardware keeps getting more expensive. And somehow the workstation is back.
This week: 400 people lined up at a Best Buy in San Francisco to buy RTX Spark devices, a company burned six figures in tokens building an ERP platform they had already licensed, and the crew tries to work out what is actually pulling people back toward expensive hardware they spent a decade being told they didn't need.
Plus the best argument anyone made for buying one: when you're running on a meter, your behavior changes. You play it safe. Take the meter away and you try the weird ideas. One developer called it the right to fail cheaply.
Chauncey is in Mexico. Scott Slater is in New York.
CHAPTERS
0:00 Cold open: who buys a $6,000 AI laptop?
0:42 Around the horn: where everybody's been
4:55 Scott Slater joins from New York
5:25 What customers are actually asking about AI on device
7:09 The Linus Tech Tips problem
10:41 You're not buying tokens, you're buying freedom
11:50 The cost of lost experimentation
12:46 "The right to fail cheaply"
13:12 Cloud overspend dwarfs the price of RAM
13:54 What happens when every seller can build software
16:32 The $100,000 ERP nobody needed
17:55 The return of the workstation
21:46 So what's actually moving the needle?
22:47 Hybrid intelligence: the AI you never notice
25:11 will.i.am's 200 students and their Spark devices
26:35 Robert's hybrid intelligence blog
27:26 Keeping your intelligence: IP protection and the second wave
29:25 Why a JPEG is good enough
31:03 Models checking models
33:15 Nemotron, or "the new Transformers model"
34:01 On my device: 23 API feeds and an Uber app
36:53 An RTX Spark... in a car?
39:09 The $100,000 DGX Station question
41:41 Wrap: there's no place like 127.0.0.1
ABOUT THE SHOW
the localhost is an ongoing podcast about AI that runs on your own hardware. Open weight models, NPUs, workstations, home labs, and the question underneath all of it: who controls intelligence, you or a data center?
The crew: Chauncey Larsen and Jacob Rhoades of the Microsoft Surface Marketing team. Neil Misak of the Microsoft Surface Engineering AI Solution Factory. Robert Henry, Windows AI Solution Sales specialist. And Frank Buchholz, retired tech guy, now vibe coding, Uber driving, and unapologetic Chappell Roan and Phoebe Bridgers fan.
This week we're lucky to have Scott Slater stepping in for Chauncey. Scott is a Managing Director in Windows Solution Sales.
DISCLOSURE
All opinions expressed on this show belong to the individual hosts and do not represent the views or positions of Microsoft or any other organization. We speak for ourselves and nobody else.
New episodes weekly.
https://thelocalhost.show
Cloud AI keeps getting cheaper. AI hardware keeps getting more expensive. And somehow the workstation is back.
This week: 400 people lined up at a Best Buy in San Francisco to buy RTX Spark devices, a company burned six figures in tokens building an ERP platform they had already licensed, and the crew tries to work out what is actually pulling people back toward expensive hardware they spent a decade being told they didn't need.
Plus the best argument anyone made for buying one: when you're running on a meter, your behavior changes. You play it safe. Take the meter away and you try the weird ideas. One developer called it the right to fail cheaply.
Chauncey is in Mexico. Scott Slater is in New York.
CHAPTERS
0:00 Cold open: who buys a $6,000 AI laptop?
0:42 Around the horn: where everybody's been
4:55 Scott Slater joins from New York
5:25 What customers are actually asking about AI on device
7:09 The Linus Tech Tips problem
10:41 You're not buying tokens, you're buying freedom
11:50 The cost of lost experimentation
12:46 "The right to fail cheaply"
13:12 Cloud overspend dwarfs the price of RAM
13:54 What happens when every seller can build software
16:32 The $100,000 ERP nobody needed
17:55 The return of the workstation
21:46 So what's actually moving the needle?
22:47 Hybrid intelligence: the AI you never notice
25:11 will.i.am's 200 students and their Spark devices
26:35 Robert's hybrid intelligence blog
27:26 Keeping your intelligence: IP protection and the second wave
29:25 Why a JPEG is good enough
31:03 Models checking models
33:15 Nemotron, or "the new Transformers model"
34:01 On my device: 23 API feeds and an Uber app
36:53 An RTX Spark... in a car?
39:09 The $100,000 DGX Station question
41:41 Wrap: there's no place like 127.0.0.1
ABOUT THE SHOW
the localhost is an ongoing podcast about AI that runs on your own hardware. Open weight models, NPUs, workstations, home labs, and the question underneath all of it: who controls intelligence, you or a data center?
The crew: Chauncey Larsen and Jacob Rhoades of the Microsoft Surface Marketing team. Neil Misak of the Microsoft Surface Engineering AI Solution Factory. Robert Henry, Windows AI Solution Sales specialist. And Frank Buchholz, retired tech guy, now vibe coding, Uber driving, and unapologetic Chappell Roan and Phoebe Bridgers fan.
This week we're lucky to have Scott Slater stepping in for Chauncey. Scott is a Managing Director in Windows Solution Sales.
DISCLOSURE
All opinions expressed on this show belong to the individual hosts and do not represent the views or positions of Microsoft or any other organization. We speak for ourselves and nobody else.
New episodes weekly.
https://thelocalhost.show
