Kernels built for vision
Fused operations for spatial-temporal attention, VAE encoding/decoding, and diffusion.
Hedra’s open-core engine for image, video, world, and text models.
Optimized for diffusion workloads across NVIDIA and AMD GPUs.
Diffusion steps, attention across frames, and VAE decoding dominate diffusion and world action model inference. WMR optimizes these operations together to reduce the GPU time each output needs.
Fused operations for spatial-temporal attention, VAE encoding/decoding, and diffusion.
Quantization evaluated on image and video output quality.
Batching and caching designed around fixed-step generation.
Run supported models across GPU vendors and hardware generations.
Use the open engine with your own weights on supported NVIDIA and AMD GPUs, or get more performance via Hedra-hosted serving.
Run vision-language-action policies and action-conditioned world models for robotics and simulation.
Serve supported weights you own, license, or build with our team.
Generate video from text or images, including streaming workloads.
Generate, edit, and upscale images for interactive or batch workflows.
Generate, annotate, and train text for top-tier LLM performance.
Serve speech, music, and sound models for voice and real-time applications.
Time to generate one 5-second 768p clip
MiniMax H3 · One AMD MI355X
WMR Turbo
WMR
SGLang
2.6× faster
With WMR and auto optimization. 85% of clips accepted in blind quality review.
1.2× faster
MiniMax H3 on WMR vs. SGLang, with the same output.
Internal benchmark: MiniMax H3 · 5-second 768p clip · Single AMD MI355X · SGLang baseline · Aug–Sep 2026.
Serve your weights on a dedicated deployment.
Get direct GPU access to customize the runtime.
Hedra provides the serving stack and works with your operators.
WMR powers Hedra’s own models in production. Bring your workload to discuss performance and deployment.