DEEP-TECH AI · MEMORY WALL SOLUTION
Measure what CFMDI can do on your workloads.
Up to 30-50% of AI infrastructure sits idle, waiting on memory. CFMDI is a patented predictive data staging framework designed to change that. Before you licence anything, we measure the real gain on your hardware and your workloads. That measurement is this product.
CFMDI · UK Patent GB2605144.1 (Patent Pending)
AI accelerators compute faster than memory can feed them. Transfers that block compute are the hidden cost in every LLM deployment. CFMDI stages data ahead of demand using knowledge the runtime already has, the model's execution schedule, the scheduler's request queue and repeating structure across requests, so transfers overlap compute instead of stalling it.
A defined experiment
Your serving traces, your hardware or cloud GPUs, a pre-agreed protocol with a strict information budget, an oracle upper bound, and end-to-end metrics: tokens per second and tail latency, not just hit rate.
An honest answer
You get the measured reachable gain on your workloads, good or bad, with a reproducible harness so your own engineers can rerun every number.
First position
Pilot customers receive preferential licensing terms and direct input into integration design if the results justify going further.
Our simulations show 4-16x staging headroom exists; the pilot measures the fraction your workloads can reach. These tiers are design projections pending validation, which is exactly why this pilot exists.
SOFTWARE RUNTIME
2-5x
Drop-in library for serving stacks such as vLLM and TensorRT-LLM
CONTROLLER FIRMWARE
5-15x
Memory-controller integration on existing DDR5 and HBM interfaces
NATIVE SILICON
15-50x
CFMDI-aware fabric for next-generation accelerators
PROJECTED — PENDING VALIDATION
- Pre-agreed written protocol and methodology before any run
- Benchmarking on your traces against your current baseline and an oracle upper bound
- Full results report: tokens/sec, p95/p99 latency, GPU utilisation, staging accuracy
- Reproducible benchmark harness, yours to keep and rerun
- A go/no-go recommendation in plain language
- Preferential licensing terms with first refusal
30-50%
of AI infrastructure idle, waiting on memory
4-16x
staging headroom measured in our simulations; the pilot measures your reachable fraction
TRACE PILOT
£15,000
Remote. You supply anonymised serving traces; we run the full protocol on cloud GPUs. Report plus harness. 4-6 weeks.
Start a conversationHARDWARE PILOT
£30,000
On your hardware or ours. Full protocol on production GPUs with your real serving stack. Report, harness, and a joint readout session. 6-8 weeks.
Start a conversationPARTNER PROGRAMME
£45,000
Hardware pilot plus integration workshop, method disclosure under NDA, and a co-authored validation summary you may publish. 8-10 weeks.
Start a conversationScoping call and NDA.
Protocol agreed in writing.
Observe-mode run first, no changes to your system behaviour.
Measured runs against baselines.
Report and readout.
Your decision; no obligation beyond the pilot.
Let's measure it together.
Merging physics with innovation to elevate computing.
contact@physivitis.tech · physivitis.tech
Book a scoping call