MakoraGenerate is an AI agent that can write and validate ultra-efficient CUDA and Triton kernels. Whether you're building ML pipelines or physics simulations, agent can take in any input and create production-ready GPU code.

MakoraGenerate writes expert-level GPU Kernels

183% of torch.compile performance
for a DeepSeek MOE small batch kernel on NVIDIA H100


146% of torch.compile performance
for Flash Attention with a specific shape on NVIDIA H100


262% of torch.compile performance
for Conv2D-Depthwise-Asymmetric kernel on NVIDIA H100

Frequently asked
questions
What kinds of applications benefit from Makora?
Applications where AI is directly in the user interaction loop benefit the most from Makora's high tok/s/user inference API. Products like coding agents, voice assistants, AI search, customer support copilots, and browser-use agents feel dramatically better when responses stream quickly and continuously, because every delay blocks the user’s next action. In general, the more conversational, iterative, or real-time the workflow is, the more important high interactivity becomes.
How do i integrate Makora inference into my setup?
Makora Inference is designed to be drop-in compatible with OpenAI-style APIs. You can integrate it by pointing your existing client or SDK at the Makora endpoint, adding your Makora API key, and selecting the model you want to run. For most teams, this means changing only the base URL, model name, and authentication header.
Can Makora be used in production today?
Yes. Makora is already being used in production workloads today across inference and performance engineering deployments. Teams that sign up today also receive hands-on engineering support from Makora’s performance engineering team to help optimize deployments, tune workloads, and maximize real-world performance.




