Zyphra for frontier hyperscale
Expand capacity. Optimize your infrastructure.
Plan large dedicated compute clusters with Zyphra. License Zyphra's Optimization Engine (ZOE) to optimize the model endpoints you sell on your own infrastructure.
Zyphra compute availability expected H1 2027.
Dedicated compute
Capacity built around your workloads.
Plan large clusters for pretraining, reinforcement learning and inference. Align accelerators, networking, storage and datacenter capacity with the scale of the services you operate.
- Dedicated capacity for sustained demand.
- Cluster design around your workload requirements.
- Deployment plans aligned to your timeline.
Trainium
AWS Trainium
Google TPU
Google TPU
NVIDIA
License Zyphra Optimization Engine
Your infrastructure. More capable inference.
Run ZOE on your hardware to optimize the endpoints you deliver to customers. Bring kernels, parallelism, speculative decoding, quantization and tuning into your serving stack.
- Optimize throughput within your latency targets.
- Tune serving for long-context, multi-step agents.
- Evaluate cost per token against your baseline.
Supported models, accelerators and licensed components are defined for your deployment.
- 01
Kernels
Custom kernels for each model on each accelerator.
- 02
Parallelism
Novel parallelism schemes for each model and interconnect topology.
- 03
Speculative decoding
Speculators chosen or trained from scratch for each served model.
- 04
Quantization
Custom schemes for lower-precision weights and KV cache with rigorous quality checks.
- 05
Tuning
Vendor libraries, containers, and serving configurations. Tuned for performance and stability.
ZOE / Wave 2 benchmarks
Measured gains. From kernels to serving.
Selected optimization results on AMD Instinct.
- Faster time to first token
- 3.6×
- Higher per-user output speed
- 1.9×
- Lower cost per session
- 60%
Build the capacity. Deliver the intelligence.
Tell us about your cluster requirements or the model endpoints you want to optimize.