Demonstrations show it running DeepSeek and some graphics-intensive games. The GPU being shared over WiFi is an RTX 5090.
I wanted to dig deep into how WiFi as a protocol can be used for communicating with the GPU. In a normal situation, the GPU will communicate via PCIe with the CPU of the host computer, ensuring high-bandwidth data transfers. I found the following lines in a blog that WiCi has shared:
> So WiCi keeps the local-GPU contract while shrinking what actually crosses the link: cache stable facts, deduplicate repeated payloads, compress or stream large transfers, pipeline independent work, keep expensive state resident, and preserve true dependencies exactly.
What I feel is that WiCi has introduced an intermediate layer between the host and the GPU that facilitates communication. The commands intended for the GPU are first encoded in some intermediate language, passed through the network, and decoded back within the WiCi remote GPU (the external box holding the 5090) into commands that the CUDA driver understands.
WiCi does not seem to replace the physical PCIe protocol with IEEE 802.11 (WiFi) protocol over the physical medium. This is my assumption and I am not sure about it.
But if this product proves what it claims, then this would be a huge deal in my opinion. A shared GPU that different devices can use would be great for local LLMs.
yeah yeah yeah "it's done for you" but that's way less of a selling point post-agentic AI.
I scrolled through the resulting cruft with all of the attention that its full-screen headings commanded. I did not watch the video.
I have no idea what the concept aims to improve, why it is useful, or how it is an advantage over any other concept.
Help?
- It's GPU-over-WiFi. It shows up as a native, connected GPU on the client computer. I have no idea what drivers are required for this, or which OSs are supported
- It supports multiple users - i.e. multiple client devices can be connected to the same WiCi host device at the same time. I have no idea how it manages load across noisy neighbours.
- It can run DeepSeek V4 Flash. I don't know how well.
Maybe other things less relevant that I can't recall.
It seems like an interesting concept and product. I don't know how well it holds up, and it would be a very expensive gamble!
The sell was "have a box full of compute, and a box full of GPUs, and mix-n-match at provision time." This stuff was directed at cloud providers, so you could let a customer move a slider to pick a core count and a gpu count and spin up a virtual machine without having to rewire any actual PCIe connections (n.b. this was before CXL existed).
Now they're trying to sell it on-prem as a box you throw on your network and provide GPU compute to your machine the way you provide storage with a NAS. Why this instead of just plugging in an eGPU? I dunno... wireless?
Why use a NAS rather plugging in an HDD enclosure? Same gains, same losses.
That said, although title here focuses on one, WiCi seems to pursue a second related idea, that being SSD-backed LM inference. Code for this is open-sourced at https://github.com/wici-ai/inferssd.
[0]: https://arxiv.org/abs/2608.24204 [1]: https://github.com/gvirtus/GVirtuS [2]: https://link.springer.com/chapter/10.1007/978-3-642-15277-1_... [3]: https://onlinelibrary.wiley.com/doi/abs/10.1002/cpe.4286 [4]: https://patents.google.com/patent/US20250191108A1 [5]: https://patents.google.com/patent/US20140122558A1