Compute engineered with NVIDIA H100.
veltneon uses NVIDIA's hardware and software stack — from Tensor Core GPUs to cuDNN, TensorRT, and Triton Inference Server — to scale high-throughput digital asset rendering.
NVIDIA TensorRT Acceleration
Diffusion model core layers compiled with TensorRT to optimize execution paths, achieving up to 4x throughput boosts and sub-second generation latencies.
Triton Model Orchestration
All user request streams handle dynamic batching queues and multi-GPU concurrent model execution powered by NVIDIA Triton Inference Server.
Hopper H100 Compute Mesh
A robust, high-performance GPU cluster utilizing NVIDIA H100 and A100 Tensor Cores with custom FP8 and FP16 precision runtime pipelines.
CUDA Parallel Custom Kernels
High-speed custom kernel adjustments compiled in CUDA 12 for attention computation, image resizing, and layout composition maps.
TensorRT-LLM Text Encoders
Multimodal text encoders (CLIP ViT-L and T5-XXL) run optimized on H100 Tensor Cores, parsing natural language descriptions in less than 15ms.
cuDNN Denoising Pipeline
Deep neural network primitives handle low-level convolution and matrix multiplications in diffusion steps, ensuring noise resolution in under 8 seconds.
Multi-GPU DGX Interconnect
Our infrastructure groups clusters of 8x NVIDIA H100 GPUs using high-bandwidth 900 GB/s NVLink connections. Dynamic traffic is balanced at the edge via InfiniBand switch adapters, preventing data bottlenecks.
FP8 COMPRESSION ALLOCATION SPEC
FP8 Mixed-Precision Scale
Standard image generation loads massive floating point arrays, straining GPU memory limits. By compiling weights using the FP8 format (storing exponents and mantissas in 8 bits), we cut active VRAM utilization in half.
- E4M3 Format: Used in forward passes to preserve precision.
- E5M2 Format: Utilized in scaling parameters for higher dynamic range.
Inference sequence orchestrator.
How Triton Inference Server groups multi-model execution threads sequentially in less than 2 seconds.
1. Safety Check
Prompt filtered against NSFW/IP embeddings
2. Text Encoder
CLIP & T5 translate string to latent vectors
3. Denoising
H100 cores run 1-step Lumen-V2 loops
4. VAE Decoder
Latent grid decoded to high-fidelity pixels
5. Watermark
IP tracking injects subtle signature
CUDA Parallel Attention Kernels
Standard diffusion pipelines spend over 40% of their run cycle in attention calculations. We compiled custom FlashAttention CUDA kernels optimized for Hopper's shared memory architecture.
Zero-latency weight swapping
Loading style weight modules (LoRAs) dynamically usually stalls active render queues. We use a three-tier weight cache where inactive styles reside in system memory and pre-fetch dynamically to VRAM.
Edge Neural Super-Resolution
Instead of rendering full 4K images on expensive centralized DGX nodes, veltneon renders at a 1024x1024 base resolution, then uses cuDNN-accelerated VAE decoders deployed directly on regional CDN nodes to upscale to crystal-clear 4K.
Centralized GPU Node
Outputs raw latent layers at 1024x1024. Lowers core compute duration to under 0.8 seconds, optimizing server load.
Edge CDN Node
Loads cuDNN VAE models to scale assets to 4096x4096px, applying sharp texture restoration parameters.
NVIDIA-Powered Inference Pipeline
How veltneon routes prompts to Hopper silicon blocks in real time.
TensorRT-LLM Encoders
CLIP & T5 text weights optimized for real-time prompt parsing under 15ms.
Triton Orchestrator
Dynamic batching groups parallel request threads into unified GPU lanes.
H100 TensorRT Engine
Quantized FP8 diffusion loops execute denoising cycles on hardware in under 2 seconds.
Optimized Stream
Progressive visual preview outputs delivered back to client applications instantly.
Production Stack
veltneon & NVIDIA Integration Layer.
Tensor Profiling
Execution metrics and matrix allocation.
Moderation Layer
Real-time safety filtering and prompt checks.
Our content safety models run in parallel on H100 compute nodes. By leveraging Triton Server multi-model execution, we moderate prompts and images concurrently, ensuring full safety without adding pipeline latency.
Deploy on accelerated infrastructure
Get started with our API keys to run prompts directly through Triton inference nodes.
Talk to a solutions engineerRunning on world-class infrastructure
