zwzsw runs the serving layer behind some of the world's most demanding frontier models — engineered from the kernel up for the labs that ship the next architecture before the last one cools down.
Hand-tuned CUDA and Triton kernels for attention, MoE routing, and speculative decoding. We squeeze the silicon, not your margins.
Prefill and decode pools scale independently. Long-context prompts no longer starve interactive traffic.
Cross-node KV reuse over RDMA. Conversational workloads see 6–9× effective batch with sub-ms cache hits.
Dense, MoE, multimodal, diffusion. We onboard custom architectures in days, not quarters.
Single-tenant clusters in US, EU, UAE, and JP. Air-gapped options for frontier evaluations.
Per-request traces with kernel-level timing. Every token accounted for, every regression caught.
Independently benchmarked against open-source and hyperscaler baselines on identical hardware, identical weights, and identical prompts. We publish the methodology, not just the headline.
"zwzsw shipped a working serving stack for our MoE in eleven days. Our previous vendor had a roadmap for that."
We onboard a small number of labs each quarter. Tell us about your model and your bottleneck — an engineer responds within one business day.
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