AI infrastructure, reimagined
Different accelerators. One unified memory pool.
OpenMycelium unifies heterogeneous GPUs and accelerators into one logical memory pool for AI inference, training and fine-tuning — vendor-neutral, across the hardware you already have.
Vendor-neutral by design. Available capacity varies by hardware and workload.
01
Engineered to connect. Working today.
Heterogeneous infrastructure runs as one logical memory pool, so inference, training and fine-tuning are no longer bound to a single vendor's hardware.
Measured
Proven across two vendors, in one pool.
- 22.8 GiB
- A model too large for either card on its own ran across two GPUs from different vendors, as one pool.
- 10.4
- Sustained generation across the vendor boundary. A capacity result, not a speed claim.
- 167 ms
- The first token arrives without waiting on anything unusual.
- 94 ms
- Steady pace from start to finish, with no stutter introduced by crossing vendors.
model
tokens / second
to first token
median per token
Figures from an internal test run across two consumer GPUs from different vendors. They show that capacity can be pooled, not a performance benchmark. Results vary by hardware and workload.
Cross-vendor by design
Many accelerator ecosystems. One memory pool in the middle.
Named platforms show the ecosystems this work spans. They do not indicate partnership or endorsement.
- NVIDIA
- AMD
- Intel
- Apple
- Qualcomm / Snapdragon
- Other accelerators
Inference · Training · Fine-tuning
Cross-vendor by design — available capacity varies by device and workload.
Text equivalent of this visualization
Six accelerator sources — NVIDIA, AMD, Intel, Apple, Qualcomm / Snapdragon, Other accelerators — are drawn toward a central OpenMycelium emblem, which joins them into one logical memory pool. Workload packets travel inward, the connections illuminate, and packets depart toward inference, training and fine-tuning. Named platforms indicate the ecosystems this work spans. They do not indicate partnership or endorsement.
How it comes together
Different resources. One coordinated pool.
OpenMycelium brings compatible infrastructure together as a single logical pool, with capacity and control at the center.
Chapter 1
Separate resources.
Capable resources already sit apart from one another, each doing its own work.
Conceptual visualization
Chapter 3
Capacity in motion.
Work moves along the paths between them, guided by what the workload asks for.
Conceptual visualization
Chapter 4
One capacity layer.
The arrangement settles into one logical pool, with capacity and control at the center.
Conceptual visualization
03
Built around the workload.
Start with what you want to run. See how your available infrastructure supports it.
See what OpenMycelium makes possible.
Vendor-neutral by design. Available capacity varies by hardware and workload.