שום דבר חדש פה, זה Strix Halo שכבר קיים תקופה לא קצרה. רק בform-factor של AMD במקום של חברה צד שלישי (כמו Framework desktop, MinisForum ועוד) יש לי כזה והוא מעולה, פשוט לא לצפות לביצועיי על מכיוון שה memory bandwidth שלו נמוך משמעותית מאשר כרטיס גרפי ייעודי. עלה כשקניתי 2300$ והיום עולה באיזור ה3500$

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it will quantize down and a cluster of just 4 strix halo can run that. Real consumer cost = $10k.

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A guy who runs AI models locally just benchmarked three machines against each other The results broke the internet Nobody is talking about this device yet M4 Pro Mac Mini - PP512: 563 Framework Desktop Strix Halo - PP512: 342 DJX Spark - PP512: 2107 That's not a typo. 2107. Everyone was sleeping on the DJX Spark because they were only testing token generation speed. That's the wrong metric. The part that actually matters for heavy AI workloads is prompt processing - the computationally expensive phase that determines how fast your model thinks before it even starts responding. Mac Mini handles it at 563. Strix Halo drops to 342. DJX Spark hits 2107. That's 3.7x faster than the Mac Mini on the metric that actually counts. The people who tested it early missed this completely. They ran basic chat sessions, saw average token generation, moved on. Nobody stress tested the pre-fill phase until now. This changes the math on running large local AI models entirely. 30 billion parameter models that felt slow suddenly feel instant. The bottleneck most people blamed on their model was actually their hardware all along. The DJX Spark isn't just another AI PC. It's the first consumer device that handles prompt processing at a level nobody expected at this price point. Most people are still arguing about cloud vs local AI in 2026. This guy just showed why local won

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Everyone got hyped seeing Lisa Su hold that lunchbox-sized mini PC running a 235B model and “beating RTX 5080 by 3x” Reality check: The $1,499 version can’t actually run that model. The “3x faster” number is a memory capacity win not speed. The real box you need (128GB) costs ~$2,200 This thread breaks it all down honestly: which config actually works, the Linux memory trick that gives you ~110GB usable, exact token speeds on big MoE models, when it beats your $440/month cloud stack, and when it doesn’t No hype. Just numbers, configs, Claude Code setup, and the workloads where this Strix Halo box actually makes sense

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How can you stop paying AI corporations “rent” forever when a single mini PC is a one-time purchase and the hardware has already saved its owner $5,000 in net costs While 78% of users on expensive subscription plans regularly run into request limits during their most critical work hours, the industry has quietly gone through a “cord-cutting” revolution. It turns out that the $200 monthly fee doesn’t actually buy you artificial intelligence - it buys you a meter that resets every month and slows you down precisely when you need AI the most. AMD CEO Lisa Su personally signed the tiny GMKtec EVO-X2 device on stage, a machine that completely changes the cloud equation. The secret lies in the Ryzen AI Max 395 (Strix Halo) processor with up to 128 GB of unified memory architecture. Instead of buying expensive GPUs, the processor and graphics share one massive memory pool. This allows a $1,700 box to run giants like Qwen3-235B entirely locally. In DeepSeek R1 benchmarks, this little machine reportedly outperformed the discrete NVIDIA RTX 5080 by more than three times, delivering the power of top-tier OpenAI plans right on your desk. Instead of endlessly renting access, the hardware pays for itself in just nine months. After that, your only ongoing cost is roughly $9 per month in electricity, and over three years the net savings add up to around $5,000. Cloud models are still useful for massive multi-file coding sessions, but for 90% of everyday tasks, automation workflows, and private analytics, the era of cloud subscriptions is officially over.

Quite likely the 2k price tag refers to the models with way lower memory capacity. Like 32 GB, just as in their baseline Strix Halo laptops…

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Это Strix Halo. HP Z2 Mini G1 с Ryzen AI Max 395. Цена стартует от $1700 за 128GB версию. Пока только через HP напрямую или крупных дистрибьюторов. До конца года будет шире.

Payload integration complete. The StriX satellite for @synspective has been encapsulated on Electron ahead of our next mission to low Earth orbit for their Earth-imaging constellation. 'Ten Owl Of Ten' - our 90th Electron launch - is scheduled for launch NET June 18 NZT.

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This is where much of the confusion is coming from, the 395 is a Strix Halo - a CPU that needs a host. The Ryzen Strix Halo is a standalone piece of hardware with 128GB unified memory, a 395 processor, and what appears to be 2TB base m.2 memory