Local AI is starting to look a lot more appealing to developers who are tired of sending data to the cloud and paying per token for inference. Plugable is betting there is real demand for hardware that brings AI workloads back to the desk.
The company has announced the Plugable TBT5-AI, a Thunderbolt 5 external GPU enclosure designed to turn a compatible Windows laptop into a local AI workstation. Instead of relying on cloud compute, the enclosure lets users install their own graphics card and run AI models locally.
The idea is straightforward. Connect the enclosure using a single Thunderbolt cable, install a GPU, and suddenly a laptop has access to the kind of compute normally reserved for a desktop system.
Thunderbolt 5 plays a key role in making that possible. The connection delivers up to 80Gbps of bandwidth, allowing the enclosure to access the GPU through four lanes of PCIe 4.0. According to Plugable, that provides up to 64Gbps of PCIe bandwidth, which is double what was available through earlier Thunderbolt generations.
Inside the enclosure is an 850W ATX 3.1 power supply with an 80 Plus Gold rating. The PSU can deliver up to 600W directly to the installed GPU, which means the device can support large graphics cards such as models from the NVIDIA GeForce RTX 50, 40, or 30 series, as well as AMD Radeon RX 9000, 7000, or 6000 series. Plugable says the chassis supports cards up to 346mm long, 170mm tall, and 77mm thick, with room for up to 3.5-slot GPUs.
Because the enclosure does not include a GPU, users bring their own hardware depending on their needs and budget. That flexibility allows developers to build systems capable of running modern local models.
Plugable says the TBT5-AI supports a range of popular local AI tools and frameworks. These include Ollama, LM Studio, Foundry Local, NVIDIA NIM, and llama.cpp. With the right GPU installed, the system can run models such as Llama 3 locally without sending prompts or data to the cloud.
The company frames the concept as “Intelligence You Own.” In other words, the goal is to run AI entirely inside an organization or home environment with no phone home behavior and no ongoing cloud costs.
The enclosure also doubles as a workstation dock. It can provide up to 96W of charging power to the connected laptop and includes a downstream Thunderbolt 5 port, a 10Gbps USB-C port, and three 10Gbps USB-A ports. There is also a 2.5Gb Ethernet connection for fast wired networking.
Beyond the developer-focused enclosure, Plugable is also preparing a lineup of enterprise systems built around the same idea of local AI deployment.
The entry model in that lineup is the TBT5-AI16, which includes 16GB of GPU VRAM and is aimed at knowledge retrieval workloads such as secure document search or private internal chat systems.
Next is the TBT5-AI32, which targets data intelligence tasks. With 32GB of VRAM, the system is intended for database interaction, SQL generation, and analytics-style workflows.
At the top of the range is the TBT5-AI96, which includes 96GB of GPU VRAM and is designed for agent-based workflows, including large retrieval augmented generation systems and autonomous automation pipelines.
Unlike the bare developer enclosure, those enterprise models are intended to be plug-and-play deployments for organizations that want to run AI locally without building a system from scratch.
One limitation that might surprise some readers is platform support. Despite the strong interest in local AI among open source developers, the TBT5-AI currently supports Windows 11 systems only. Plugable says it works with Thunderbolt 5, Thunderbolt 4, or USB4 systems that support external GPUs, but it does not support macOS, Linux, or ChromeOS.
The Plugable TBT5-AI enclosure is available now for $599.95. Interested buyers can find it on Amazon here.
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