Build kernels.
Scale inference.
Fabricate the future._
Stop wrestling with CUDA and Triton. Write, compile, and deploy optimized kernels — all in one platform.
Generic tools vs. KernelFab platform.
See the difference when you build on infrastructure made for kernel engineers.
Most teams stitch together CUDA, Triton, and custom scripts � then spend weeks debugging memory leaks and sync issues.
- ? No unified pipeline
- ? Manual memory management
- ? No built-in profiling
- ? Poor multi-GPU support
- ? Deployment headaches
One platform that compiles, optimizes, and deploys your kernels with hardware-aware scheduling and real-time profiling.
- ? Unified compile ? deploy pipeline
- ? Automatic memory optimization
- ? Built-in flame graphs & tracing
- ? Native multi-GPU, K8s ready
- ? One-command deploy with rollback
Everything for your kernel stack.
From CUDA to production. No wrappers, no bloat — just raw performance.
Kernel Forge
Write CUDA, Triton, or Metal. Auto-tune for H100, MI300, and custom ASICs with a single command.
Inference Engine
Sub-5ms cold starts. Dynamic batching, KV-cache optimization, and tensor parallelism built-in.
Deploy Fabric
K8s native. Multi-region, auto-scale, zero-downtime deploys with hardware-aware scheduling.
OptiView
Real-time kernel profiling. Flame graphs, memory tracing, and bottleneck detection out of the box.
Model Hub
Pre-optimized kernels for Llama, Mistral, and GPT architectures. One-line integration.
Secure Sandbox
Isolated kernel execution with seccomp, namespaces, and GPU partitioning for multi-tenant safety.
Benchmarks that matter.
Raw numbers from production-grade H100 clusters running real workloads.
Built for scale.
A unified pipeline from kernel source to production inference.
Built for real workloads.
KernelFab.com adapts to every layer of the AI infrastructure stack.
LLM Inference API
Deploy optimized kernels for large language models with sub-10ms latency and dynamic batching across GPU clusters.
Custom Kernel Tooling
Sell proprietary CUDA/Triton kernels with a marketplace and CI/CD pipeline for kernel developers.
GPU Cloud Platform
Multi-tenant GPU compute with kernel-level isolation, resource quotas, and per-tenant optimization.
AI Research Lab
Rapid prototyping of novel attention mechanisms, custom operators, and experimental kernel architectures.
Monitor your kernel performance.
Real-time metrics, flame graphs, and deployment status � all in one view.
KernelFab.com is available
Perfect for low-level AI infrastructure, kernel compilers, GPU cloud platforms, or developer tools. Serious inquiries only.