Announcing Weyl
Announcing Weyl
Today we’re launching Weyl, purpose-built inference infrastructure for generative media.
The Problem
Current inference providers optimize for LLMs, not diffusion models. This creates fundamental mismatches:
- Latency: Text generation can stream tokens; image generation needs the full result
- Compute: Diffusion models have different memory/compute patterns than transformers
- Cost: Generic GPU instances waste money on unnecessary capabilities
Our Approach
Weyl is built from the ground up for diffusion workloads:
Hardware
NVIDIA Blackwell GB200 with FP4 Tensor Cores. Custom CUDA kernels optimized for diffusion model kernels. NVLink fabric for zero-copy memory transfers.
Software
TensorRT-LLM with custom optimizations. Automatic batch sizing based on request patterns. Multi-region routing with sub-10ms failover.
Economics
FP4 precision delivers 4x throughput improvement with minimal quality degradation. This translates directly to 4x cost reduction.
Results
- 47ms p99 latency for SDXL 1024x1024
- 99.99% uptime across multi-region deployment
- 4x cost reduction vs. FP16 inference
Get Started
Sign up for free at weyl.ai/signup. Free tier includes 1,000 requests per month with no credit card required.
Read the documentation to get started building with Weyl.
Build trust. Ship code. Arbitrage dysfunction.