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Distributed LLM inference fabric for heterogeneous local clusters. Features zero-copy SPSC ring buffers, automated tuning, and an OpenAI-compatible API. - rwilliamspbg-ops/Ghostlink
Hey Product Hunt!
I built Ghostlink to solve a problem I kept hitting while running local LLMs: my compute was scattered across different devices (CPUs, GPUs, and NPUs), but existing orchestration stacks were either too heavy or hard to route across mixed hardware.
Ghostlink is a high-performance, open-source distributed inference fabric that routes workloads across local, heterogeneous clusters.
Key Highlights:
Zero-Copy SPSC Ring Buffers: Sub-microsecond handoff primitives for low latency.
Hardware-Aware Placement: Auto-detects and routes across CPU, CUDA, DirectML, Metal, and NPUs.
OpenAI-Compatible API: Plug-and-play drop-in replacement for existing LLM tools and workflows.
Ghostlink Studio GUI: Modern frontend with real-time hardware telemetry and built-in MCP tool integration.
It’s 100% open source under the MIT license. Check out the GitHub repo or run launch.bat / launch.sh to try it out locally.
Would love to hear your feedback, thoughts on distributed local inference, or feature requests!
Pushed a small model through Ghostlink on a mixed rig and was surprised how little config it actually needed to hit decent throughput. The zero-copy ring buffers seem to do real work instead of just sounding fast.
About Ghostlink on Product Hunt
“Run local LLMs across heterogeneous clusters”
Ghostlink was submitted on Product Hunt and earned 12 upvotes and 3 comments, placing #36 on the daily leaderboard. Distributed LLM inference fabric for heterogeneous local clusters. Features zero-copy SPSC ring buffers, automated tuning, and an OpenAI-compatible API. - rwilliamspbg-ops/Ghostlink
Ghostlink was featured in Design Tools (261.8k followers), API (98.5k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 79.7k products, making this a competitive space to launch in.
Who hunted Ghostlink ?
Ghostlink was hunted by Ryan Williams. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Ghostlink stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Ryan Williams