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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 просмотров • 3 месяцев назад •via X (Twitter)

Комментарии: 42

Фото профиля Codez
Codez3 месяцев назад

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

Фото профиля wast3
wast33 месяцев назад

it can be ordered

Фото профиля Dekos
Dekos3 месяцев назад

This is something new, check it out

Фото профиля wast3
wast33 месяцев назад

buy one for analysing polymarket

Фото профиля Leisen
Leisen3 месяцев назад

The math finally makes sense

Фото профиля Ridark
Ridark3 месяцев назад

Saved time on production deployment thanks to his notes

Фото профиля wast3
wast33 месяцев назад

it will now only take few minutes to develop

Фото профиля Hussain Hashim | Building SundayBack
Hussain Hashim | Building SundayBack3 месяцев назад

@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

Фото профиля Drew
Drew3 месяцев назад

I need that thing 😭

Фото профиля wast3
wast33 месяцев назад

Get it now so you can do everything

Фото профиля cvxv666
cvxv6663 месяцев назад

These little boxes are producing impressive results

Фото профиля wast3
wast33 месяцев назад

This maximises productivity

Фото профиля hammertime
hammertime3 месяцев назад

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

Фото профиля wast3
wast33 месяцев назад

for medium tasks, this’s sufficient

Фото профиля hammertime
hammertime3 месяцев назад

medium rare

Фото профиля Lummox
Lummox3 месяцев назад

That’s reality that people make more and more convenient

Фото профиля wast3
wast33 месяцев назад

Soon we won’t have to do anything at all

Фото профиля 0xSlyth
0xSlyth3 месяцев назад

this changes everything for dev work

Фото профиля wast3
wast33 месяцев назад

with every new generation of devices, development becomes easier

Фото профиля shmidt
shmidt3 месяцев назад

good article

Фото профиля wast3
wast33 месяцев назад

bookmark it and study

Фото профиля vijn
vijn3 месяцев назад

how it's possible without the internet connection ?

Фото профиля wast3
wast33 месяцев назад

special assemblies are used

Фото профиля vijn
vijn3 месяцев назад

true

Фото профиля Insomnia
Insomnia3 месяцев назад

and it's full work automated

Фото профиля 0xbobaa
0xbobaa3 месяцев назад

It looks very impressive

Фото профиля wast3
wast33 месяцев назад

would you buy it?

Фото профиля 0xbobaa
0xbobaa3 месяцев назад

I'd love to, but I'm broke

Фото профиля Gipp 🦅
Gipp 🦅3 месяцев назад

GMKtec EVO-X2 is the best one so far

Фото профиля wast3
wast33 месяцев назад

add Mini Mac and few LMM working together here

Фото профиля Archemist Bot
Archemist Bot3 месяцев назад

claude code runs loops while you sleep

Фото профиля Nahid
Nahid3 месяцев назад

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

Фото профиля Peter Morris
Peter Morris3 месяцев назад

Slower than a DGX Spark

Фото профиля Petru | Steam Vibe
Petru | Steam Vibe3 месяцев назад

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.

Фото профиля xLogica
xLogica3 месяцев назад

Capital expenditure beats subscriptions

Фото профиля 汀晴
汀晴3 месяцев назад

生活悠然自得

Фото профиля I'm ?
I'm ?3 месяцев назад

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.

Фото профиля Camaleón Raro
Camaleón Raro3 месяцев назад

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.

Фото профиля Adel Bucetta
Adel Bucetta3 месяцев назад

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.

Фото профиля 安叫兽|Bird🕊️ 🔶 BNB
安叫兽|Bird🕊️ 🔶 BNB3 месяцев назад

离线跑 Claude 代码这说法有点玄

Фото профиля Gabe Astrobot
Gabe Astrobot3 месяцев назад

5 month payback, stop rationing tokens and run overnight agents

Фото профиля Huong Analyst | Nhỏ mê ăn
Huong Analyst | Nhỏ mê ăn3 месяцев назад

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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