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A $1,800 MINI PC RUNS CLAUDE CODE WITHOUT THE INTERNET it looks like a hardcover book sitting on a shelf, but this is the GMKtec EVO-X2, and it changes the local AI math completely built on AMD's Ryzen AI Max+ 395, with 128GB of unified memory shared between CPU...

13,386 Aufrufe • vor 3 Monaten •via X (Twitter)

42 Kommentare

Profilbild von Codez
Codezvor 3 Monaten

damn bro ! this setup looks amazing, want to order this box too

Profilbild von wast3
wast3vor 3 Monaten

it can be ordered

Profilbild von Dekos
Dekosvor 3 Monaten

This is something new, check it out

Profilbild von wast3
wast3vor 3 Monaten

buy one for analysing polymarket

Profilbild von Leisen
Leisenvor 3 Monaten

The math finally makes sense

Profilbild von Ridark
Ridarkvor 3 Monaten

Saved time on production deployment thanks to his notes

Profilbild von wast3
wast3vor 3 Monaten

it will now only take few minutes to develop

Profilbild von Hussain Hashim | Building SundayBack
Hussain Hashim | Building SundayBackvor 3 Monaten

@0xWast3 wow, that's crazy. local AI without internet? imagine the stuff you could run at home with this. no more cloud dependence sounds like a game changer for devs and privacy nerds alike

Profilbild von Drew
Drewvor 3 Monaten

I need that thing 😭

Profilbild von wast3
wast3vor 3 Monaten

Get it now so you can do everything

Profilbild von cvxv666
cvxv666vor 3 Monaten

These little boxes are producing impressive results

Profilbild von wast3
wast3vor 3 Monaten

This maximises productivity

Profilbild von hammertime
hammertimevor 3 Monaten

cool setup, but still not a Claude replacement for real hard stuff

Profilbild von wast3
wast3vor 3 Monaten

for medium tasks, this’s sufficient

Profilbild von hammertime
hammertimevor 3 Monaten

medium rare

Profilbild von Lummox
Lummoxvor 3 Monaten

That’s reality that people make more and more convenient

Profilbild von wast3
wast3vor 3 Monaten

Soon we won’t have to do anything at all

Profilbild von 0xSlyth
0xSlythvor 3 Monaten

this changes everything for dev work

Profilbild von wast3
wast3vor 3 Monaten

with every new generation of devices, development becomes easier

Profilbild von shmidt
shmidtvor 3 Monaten

good article

Profilbild von wast3
wast3vor 3 Monaten

bookmark it and study

Profilbild von vijn
vijnvor 3 Monaten

how it's possible without the internet connection ?

Profilbild von wast3
wast3vor 3 Monaten

special assemblies are used

Profilbild von vijn
vijnvor 3 Monaten

true

Profilbild von Insomnia
Insomniavor 3 Monaten

and it's full work automated

Profilbild von 0xbobaa
0xbobaavor 3 Monaten

It looks very impressive

Profilbild von wast3
wast3vor 3 Monaten

would you buy it?

Profilbild von 0xbobaa
0xbobaavor 3 Monaten

I'd love to, but I'm broke

Profilbild von Gipp 🦅
Gipp 🦅vor 3 Monaten

GMKtec EVO-X2 is the best one so far

Profilbild von wast3
wast3vor 3 Monaten

add Mini Mac and few LMM working together here

Profilbild von Archemist Bot
Archemist Botvor 3 Monaten

claude code runs loops while you sleep

Profilbild von Nahid
Nahidvor 3 Monaten

$1 800 for a mini PC is wild full codebase audits sound epic

Profilbild von Peter Morris
Peter Morrisvor 3 Monaten

Slower than a DGX Spark

Profilbild von Petru | Steam Vibe
Petru | Steam Vibevor 3 Monaten

The offline claim feels optimistic. Claude Code is designed as an agentic tool that operates in the terminal and relies on cloud inference for its core reasoning loop.

Profilbild von xLogica
xLogicavor 3 Monaten

Capital expenditure beats subscriptions

Profilbild von 汀晴
汀晴vor 3 Monaten

生活悠然自得

Profilbild von I'm ?
I'm ?vor 3 Monaten

not having to worry about token limits is a huge deal, i can already think of a few projects that would be possible with a local setup like this.

Profilbild von Camaleón Raro
Camaleón Rarovor 3 Monaten

128GB unified memory for ,800 changes the local AI math. been running claude code on cloud instances at ~00/month — this pays for itself in 9 months. plus zero latency on tool calls. the offline angle is underrated for production debugging.

Profilbild von Adel Bucetta
Adel Bucettavor 3 Monaten

that changes everything. suddenly you have a machine that can run complex ai models without relying on cloud infrastructure, and that's a huge step towards truly decentralized ai computation.

Profilbild von 安叫兽|Bird🕊️ 🔶 BNB
安叫兽|Bird🕊️ 🔶 BNBvor 3 Monaten

离线跑 Claude 代码这说法有点玄

Profilbild von Gabe Astrobot
Gabe Astrobotvor 3 Monaten

5 month payback, stop rationing tokens and run overnight agents

Profilbild von Huong Analyst | Nhỏ mê ăn
Huong Analyst | Nhỏ mê ănvor 3 Monaten

Tôi thích nó Nhưng tôi ngại vấn đề chi phí

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AMD CEO Lisa Su just killed Nvidia’s $4,000 AI box with a $1,499 lunchbox. She walked on stage, held it in one hand, and ran a 235 billion parameter model live. No data center. No cloud. No rented GPU. The chip inside is something nobody saw coming. AMD’s Ryzen AI Max+ 395 is the first x86 silicon where CPU and GPU share the same 128GB of memory. That single trick lets a desktop run models that used to need a server rack. Out of those 128GB, Linux hands the GPU 110GB to play with. For context, an RTX 5090 gives you 32GB. A 4090 gives you 24. This box gives you more than three times either of them, in a chassis the size of a thick paperback. The benchmark that broke the room: this chip beat an Nvidia RTX 5080 by more than 3x on DeepSeek R1 inference. A $1,499 lunchbox outrunning a $1,000 discrete graphics card on a real AI workload. Nvidia spent a decade convincing the world you needed their hardware for serious AI. AMD just put that on a desk for half the price. Here is what nobody is telling you. A heavy AI user right now pays $200 for Claude Code Max, $200 for ChatGPT Pro, $20 for Cursor, $20 for Gemini. That is $5,280 a year leaving your account. The box pays itself off in 9 months and then runs free for the rest of its life. Install Ollama. Pull Qwen3 235B. Point Claude Code at localhost. Same interface you already use, except now nothing leaves your machine, nothing costs per request, and no company throttles your usage at 3am when you finally have time to build. This is the moment every AI subscription becomes optional. Lawyers stop fearing OpenAI leaks. Developers stop watching the token meter. Founders stop renting H100s for prototypes that never ship because the bill scared them. The first thousand people to figure this out will own the next two years of private AI consulting. Save this, and read the full breakdown article below you are watching the next shift hit before everyone else does.

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