World Model
Runtime

Hedra’s inference engine for image, video and world models. We tune kernels, numerical precision and scheduling for supported NVIDIA and AMD GPUs.

One stack for multimodal models.

Bring supported weights you own, license or build with Hedra.

Supported model workloads

Image

Video

Robotics + simulation

Shared engine

WMR

World Model Runtime

  • Vision kernels

  • Numerical precision

  • Scheduling

Execution

GPU execution

NVIDIA

AMD

Support agreed per workload

Image

Run image generation, editing and upscaling in interactive or batch workflows.

Video

Generate video from text or images, including for streaming workloads.

Robotics and simulation

Run vision-language-action policies and action-conditioned world models.

Inside the inference engine.

Built from our experience training and serving Hedra’s own models.

Kernels built for vision

We fuse operations for spatial-temporal attention, VAE encoding and decoding, and diffusion.

Precision tested against quality

We test how quantization affects image and video output quality.

Scheduling for diffusion

We batch requests and cache reusable computation around fixed-step generation.

NVIDIA and AMD support

We confirm model, GPU and precision support for your workload.

Faster on the same GPU.

Krea 3 GEMM kernel time on AMD Instinct MI355X.

PyTorch BF16 baseline

4.34 ms

Hedra custom MXFP6 kernel

1.54 ms

Profiler timings cover one GPU’s share of the MLP’s matrix multiplications. Both measurements use the same matrix shapes.

Share the model, GPU and performance
target you’re working with.