Technology

A governing framework, a deployable control plane and a measurable economic result.

Vectris separates the foundational invention, the commercial product and the customer outcome so each layer has a precise role.

Stack position

Serving frameworks → Waveform powered by ANE → GPU, cluster and fabric execution → Compute Yield and evidence receipts.

Waveform is additive to the operator’s environment. It is not a replacement for the model, application, serving framework, scheduler, accelerator or facility stack.

Serving frameworks

Waveform — powered by ANE

GPU, cluster and fabric execution

Compute Yield and evidence receipts

Control layer

How the system operates.

01

Observe

Waveform reads live workload, execution, memory and infrastructure state through the serving environment.

02

Evaluate

ANE interprets the observed state through proprietary recursive invariants and determines whether a recovery action is admissible.

03

Govern

Waveform applies the ANE-authorized runtime decision across the relevant execution surface.

04

Verify

Waveform measures quality-equivalent accepted output, latency, energy, counters, repeatability and controller overhead against baseline.

Definitions

Three terms carry the technology.

ANE

The governing framework

Adaptive Neural Efficiency defines how live inference state is interpreted, which actions are admissible and how results must be validated.

Waveform

The product

C++ middleware that instantiates ANE between serving frameworks and GPU execution.

Compute Yield

The measure

Quality-equivalent accepted output per GPU-hour, joule and infrastructure dollar, measured after controller overhead.

Architecture path

Physical evidence on Hopper and Blackwell.

Current physical evidence spans NVIDIA Hopper and Blackwell accelerators: H100, H200, B100 and B200, with Llama 8B and Mistral 7B workloads in RunPod environments. Support for additional CPU and GPU architectures remains part of the product path.

Physical evidence

NVIDIA Hopper and Blackwell

H100, H200, B100 and B200 in third-party RunPod cloud infrastructure.

Workloads

Llama 8B and Mistral 7B

Same model and weights throughout; results are measured against an optimized baseline.

Product path

Additional architectures

Support for additional CPU and GPU architectures remains part of the product path.

Technology / ANE

Explore the ANE framework.

ANE is the governing framework that made Waveform possible: it defines how runtime state is interpreted and which control actions are admissible.

Explore ANE →

Products / Waveform

See the product.

Waveform is the deployable C++ middleware product that instantiates ANE across live AI inference infrastructure.

Explore Waveform →

Next step

See Waveform against your own baseline.

Share your infrastructure environment, selected workload and operating objective. Vectris will define the evidence required for a customer-specific Compute Yield case.

Request an Audit →