Automating performance extraction across modern silicon

AC4K is AceFork's autonomous optimization platform for AI chips, built to turn theoretical hardware capability into production-grade performance without relying on slow, manual tuning loops.

What AC4K Delivers
Optimization as infrastructure Replace episodic, expert-driven tuning with a continuous software layer.
Cross-silicon by design Built to support NVIDIA, AMD, and emerging accelerator platforms.
From kernel to workload Automates kernel optimization, framework adaptation, and end-to-end performance work.

The bottleneck is no longer silicon. It is optimization speed.

AI hardware evolves quickly, but performance still depends on a small pool of engineers manually rewriting and tuning low-level software. AceFork addresses that gap with AC4K.

The Problem

GPU generations move fast, while production-grade performance often takes months of manual software work. Valuable compute capacity remains under-realized because optimization does not scale with hardware deployment.

The Product

AC4K is AceFork's autonomous optimization platform. It generates, validates, and improves low-level performance work across kernels, frameworks, and model execution paths.

The Outcome

Chip companies, cloud operators, and AI builders can move faster from raw hardware capability to deployable performance, without building large specialist teams around each platform.

From operator to model, across silicon

AC4K automates the performance work that usually requires separate specialist teams — from low-level operator optimization to end-to-end model tuning, across multiple hardware platforms.

Kernel

Operator optimization

Develops and optimizes architecture-specific operators across GPU platforms, replacing months of manual kernel engineering.

Model

Performance and quantization

Profiles model execution end-to-end, identifies bottlenecks, and applies quantization strategies to close the gap to peak throughput.

Cross-Silicon

Multi-platform by design

Built for NVIDIA CUDA, AMD ROCm, and emerging accelerators — with platform-specific knowledge isolated by design.

Built for the organizations carrying the weight of AI compute

AceFork serves organizations whose hardware value depends on software performance, deployment speed, and deep systems expertise.

Silicon Vendors

Chip Makers

Bring production-grade software performance closer to hardware launch timelines and shorten the path from silicon to usable platform value.

Compute Infrastructure

Cloud and GPU Operators

Improve delivered performance across deployed fleets without scaling specialist optimization teams linearly with infrastructure.

Model Development

AI Labs and Model Builders

Reduce the time between a new model idea and a performant implementation on real hardware.

Applied AI Teams

Enterprise Compute Teams

Access advanced optimization capability without depending entirely on scarce, deeply specialized systems engineers.

Talk to AceFork

For partnership, product, and technical collaboration inquiries about AC4K, contact AceFork.

AI Compute Infrastructure Cross-Silicon Optimization Agentic Systems
Get in Touch →
contact@ac4k.ai