Contact sales
Optimization Engine

More intelligence from every accelerator.

Zyphra’s Optimization Engine includes model and hardware specific kernels, algorithms and routing to deliver maximum intelligence and efficiency, in training and inference.

Optimized inference on
Google TPUTrainiumMicrosoft
ZOE / Wave 2 benchmarks

Measured gains. From kernels to serving.

Selected optimization results on AMD Instinct.

Faster time to first token¹
3.6×
Higher per-user output speed²
1.9×
Lower cost per session³
60%

Results reflect specific test configurations.

¹ GLM-5.3, 8x MI355X, 512K context, 90% prefix-cache hits, single request. vLLM v0.29.0 baseline 42.3 s vs. ZOE 11.8 s. Source: Zyphra Inference Wave 2.

² GLM-5.3-Flash, 8x MI300X, SemiAnalysis AgentX agentic coding benchmark, 64 concurrent sessions. Stock SGLang v0.5.22 with MTP speculative decoding: 43.9 tok/s per user. ZOE: 83.5 tok/s per user. Internal benchmark, October 2026.

³ Same setup. At about 90 tok/s per user, stock SGLang serves 24 concurrent sessions per node and ZOE serves about 60, so each session costs about 60% less. Internal benchmark, October 2026.

What ZOE does

Makes models run efficiently on the hardware you choose.

ZOE brings together kernels, parallelism, speculative decoding, quantization and tuning. These address how a workload uses processing power, memory and communication across accelerators.

  1. 01

    Kernels

    Custom kernels for each model on each accelerator.

  2. 02

    Parallelism

    Novel parallelism schemes for each model and interconnect topology.

  3. 03

    Speculative decoding

    Speculators chosen or trained from scratch for each served model.

  4. 04

    Quantization

    Custom schemes for lower-precision weights and KV cache with rigorous quality checks.

  5. 05

    Tuning

    Vendor libraries, containers, and serving configurations. Tuned for performance and stability.

Built for agents

Built to excel in what agents need most.

Long context

Handle extremely long contexts without degradation.

Long horizon workloads

Coherence across thousands of steps, tool calls and decisions.

Throughput at scale

A high-throughput stack for real-time multi-agent systems.

See the impact

Experience ZOE on Zyphra’s stack or yours.

Zyphra’s model endpoints

Frontier model API endpoints powered by Zyphra’s Optimization Engine deliver best in class throughput and latency for developers.

Driving your sovereign Zyphra stack

Zyphra’s Optimization Engine maximizes the intelligence and efficiency of dedicated sovereign deployments.

Your stack optimized

Deploy Zyphra’s Optimization Engine in your stack to get the most performance out of your accelerators.