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CUDA to HIP.
Weeks to

An AI compiler agent that automatically translates, compiles, and benchmarks your NVIDIA CUDA kernels on real AMD MI300X hardware with zero manual intervention.

AMD GPU Cloud
ROCm
CUDA
Python
LLM API
AMD GPU Cloud
ROCm
CUDA
Python
LLM API
CUDA kernel.cu
// CUDA Vector Add Kernel __global__ void vectorAdd(const float *A, const float *B, float *C, int numElements) { int i = blockDim.x * blockIdx.x + threadIdx.x; if (i < numElements) { C[i] = A[i] + B[i]; } } int main() { float *d_A, *d_B, *d_C; cudaMalloc(&d_A, size); cudaMalloc(&d_B, size); cudaMalloc(&d_C, size); cudaMemcpy(d_A, h_A, size, cudaMemcpyHostToDevice); cudaMemcpy(d_B, h_B, size, cudaMemcpyHostToDevice); int threadsPerBlock = 256; int blocksPerGrid = (numElements + threadsPerBlock - 1) / threadsPerBlock; vectorAdd<<<blocksPerGrid, threadsPerBlock>>>(d_A, d_B, d_C, numElements); }
Agent Status
INITIALIZING
HIP (ROCm) kernel.hip.cpp
// HIP code will be compiled here...
0
Kernels Migrated
0
CUDA Calls Converted
0%
Migration Success Rate
$0.000
Total API Cost

CUDA-to-HIP Translation Pipeline

Watch how our agent automates the migration pipeline through AST analysis, deep rewriting, and iterative sandboxed optimization.

PARSE

Parses AST layouts, kernel code blocks, and driver memory directives from host structures.

MIGRATE

Maps device layouts, thread block sizes, warp constraints, and memory hierarchy limits.

COMPILE

Awaiting AMD GPU (hipcc, ROCm 6.x)

Transforms library calls, warps size constraints, and launches syntax to HIP runtime calls.

BENCHMARK

Not run yet (rocprof, MI300X)

Compiles in parallel hipcc sandboxes and measures latency parity against native environments.

Test the Agent Real-Time

Select a legacy CUDA GPU kernel template below and watch the agent refactor, sandbox compile, and verify the resulting HIP ROCm translation.

Drop your .cu file here or click to browse
CUDA (NVIDIA)
cuda_kernel.cu Click to edit

        
HIP/ROCm (AMD)
translated_kernel.hip.cpp Auto-generated — you can edit

        
AMD GPU Cloud Sandbox Terminal
// Select a kernel and click "Run Compiler Agent" to execute translation.

Designed for Scale, Built for Speed

Performance measurements comparing manual translation methods versus our AMD GPU Cloud-hosted automated compiler agent.

0 minutes
vs weeks manually
Accelerate legacy CUDA translation to HIP kernels down to minutes.
0%
compile success rate
Sandboxed compilation and AST error correction loop checks code parity.
0%
performance parity
Direct output compiles to native ROCm code without overhead wrappers.

AMD Instinct™ MI300X Infrastructure

To run high-performance AI compilers, our agent requires serious power. We host the pipeline entirely on AMD Instinct MI300X GPU Cloud instances.

Ultra-Parallel Sandboxing

Compile tests execute concurrently across isolated ROCm docker structures, delivering compiler diagnostics in milliseconds.

Fine-Tuned Optimization Models

Our custom code-correcting agent models are optimized and run directly with high-bandwidth ROCm execution contexts.

Kernel Compile Speed
CUDA
ROCm HIP
Vector Add
95%
Matrix Mult
100%
FFT Kernel
92%
ResNet-50
98%

Team

Built by high-performance systems and compiler engineers to solve the real-world challenge of seamless GPU ecosystem migration.

Muhammad Shoaib Altaf

Muhammad Shoaib Altaf — Lead Developer

Faizan Haider

Faizan Haider — AI Engineer

Supercharge Your ROCm Migration

Stop rewriting kernels manually. Let our compiler agent translate, test, and package your legacy CUDA code into optimized HIP files.