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AI Workstations Shrink to PS4 Size as Mini PCs Hit 128GB RAM

AI Workstations Shrink to PS4 Size as Mini PCs Hit 128GB RAM
Interest|Mini PCs

What a Mini PC AI Workstation Is Becoming

A mini PC AI workstation is a compact desktop system that combines high-core-count processors, large memory pools, and AI accelerators to run demanding local AI inference and content creation workloads without relying on bulky tower PCs or remote cloud servers. The latest examples come from Gmktec and Lenovo, which are building PS4-sized machines around specialized chips like AMD’s Ryzen AI Max+ 395. These systems pack up to 128GB of fast LPDDR5X memory and multi-terabyte PCIe 4.0 storage, turning small form factors into credible development and inference platforms for large language models and media pipelines. Instead of treating mini PCs as office boxes, vendors now market them as compact AI computing nodes that stay on the desk, near cameras, microphones, and storage, yet still deliver workstation-class performance for developers and creators.

AI Workstations Shrink to PS4 Size as Mini PCs Hit 128GB RAM

Inside the GMK Evo-X3: Ryzen AI Max+ 395 and 128GB RAM

Gmktec’s Evo-X3 is a PS4-sized mini PC built around AMD’s Ryzen AI Max+ 395, a 16-core, 32-thread Zen 5 APU with Radeon 8060S graphics and an XDNA2 NPU. According to Gmktec’s published specs, “the system is rated for up to 126 TOPS of total AI compute,” combining CPU, GPU and NPU resources. The Evo-X3 ships with up to 128GB of LPDDR5X at 8000MT/s and dual PCIe 4.0 x4 M.2 slots, supporting multi-terabyte configurations. Gmktec lets users allocate up to 96GB of that RAM as VRAM, enough to host huge local AI models such as Qwen3 235B entirely on-device. Cooling is handled by a metal chassis with three copper heat pipes and multiple fans, plus selectable performance profiles aimed at sustained loads. With Wi-Fi 7, USB4 and 2.5GbE, the Evo-X3 targets developers and content creators who want a mini PC AI workstation that can run heavy workloads without a full tower.

AI Workstations Shrink to PS4 Size as Mini PCs Hit 128GB RAM

OCuLink, Thunderbolt 5 and the Rise of the Portable Workstation GPU

A key shift in compact AI computing is how mini PCs now bridge their small form factor with external graphics power. The Evo-X3 adds a native OCuLink (PCIe Gen4 x4) port, which allows direct attachment of desktop GPUs, including RTX 40- and 50-series cards, in an external dock. This turns the box into a portable workstation GPU host: users can travel with the small unit, then plug into high-end graphics hardware when they reach a studio or lab. On the wider desktop side, Apple’s Mac Studio pairs compact dimensions with Thunderbolt 5, giving users another route to high-bandwidth expansion. Together, OCuLink and Thunderbolt 5 create a spectrum of portable workstation GPU options, narrowing the performance gap with traditional towers while keeping the core system quiet and small enough for a crowded desk or mobile setup.

AI Workstations Shrink to PS4 Size as Mini PCs Hit 128GB RAM

Local AI Inference and High-Memory Workflows Without the Cloud

These compact AI workstations focus on local AI inference for both experimentation and production workflows. Gmktec bundles the Evo-X3 with its Claw AI platform, tuned for AMD’s ROCm software stack, to streamline running large language models on-device. The company states that with 128GB RAM and up to 96GB mapped as VRAM, performance in LM Studio can surpass a desktop RTX 4090 in some tasks, especially when models fit entirely in memory. On the macOS side, Apple positions Mac Studio as a high-memory desktop for software development, media, and AI, with unified memory configurations capable of holding very large models. Apple highlighted that M3 Ultra-based Mac Studio builds can keep models exceeding 600 billion parameters in memory, making it viable for local prototyping, testing, and sensitive data workloads that teams prefer to keep off the cloud while still retaining serious performance.

AI Workstations Shrink to PS4 Size as Mini PCs Hit 128GB RAM

Mini PCs vs. Traditional Desktops for Professional AI Workflows

Taken together, the GMK Evo-X3 and devices like Mac Studio show how compact AI workstations are challenging full-size towers for specific professional workflows. For AI developers, 128GB memory in a shoebox-sized chassis means local experimentation with large models, reproducible builds, and reduced dependence on data center GPUs for every run. Creative pros get high-performance editing and rendering close to cameras and audio gear, with the option to add a portable workstation GPU through OCuLink or Thunderbolt when needed. Traditional desktops still matter for maximum internal expansion and multi-GPU setups, but mini PC AI workstations offer a different trade-off: dense AI compute, quiet operation, and easy deployment in offices or studios where space and noise matter. As more chips like Ryzen AI Max+ 395 arrive, this category is likely to grow into a standard choice for local AI inference and development.

AI Workstations Shrink to PS4 Size as Mini PCs Hit 128GB RAM

Milik Take

What a Mini PC AI Workstation Is BecomingA mini PC AI workstation is a compact desktop system that combines high-core-count processors, large memory pools, and ...

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