Kill the GPU Memory Wall with Memopt: The GPU Memory Wall is over. Meet Memopt

I built Memopt because the GPU memory wall is an infrastructure problem, not a model problem. Every team I watched hit it kept solving it the wrong way, buying more GPUs, shrinking context windows, or accepting OOMs as a fact of life. Memopt is a memory fabric, the layer that sits beneath whatever you are already running. Your serving stack does not change. Your models do not change. The memory wall disappears. Three things drove the architecture decisions: The VMM first. Everything else is impossible without owning the memory layer. Once you control every block allocation and fetch, you can deduplicate the KV cache cluster-wide, synthesise kernels that know the actual access pattern, certify hardware before traffic moves to it, and detect degradation before it causes failures. The signed ledger is second. Infrastructure that cannot prove what it saved does not get renewed. Every token processed, every joule saved, every dollar recovered, HMAC-SHA256 signed, hash-chained, verifiable with one URL. The certification suite is third. A GPU that silently degrades is a customer SLA problem. memopt flags it, re-synthesises the active kernels automatically, and reroutes traffic. No pager alert needed. 225 tests passing on A100-SXM4 and RTX PRO 6000 Blackwell. 92.3 GB virtual context measured on 85 GB physical HBM today. Four design partner slots open for Q2 2026 for two-three months. If you are running LLM infrastructure at scale, I'd be happy to talk.