Introducing MakoraGenerate. The fastest way to write GPU kernels.

Generate optimized GPU kernels in under 60 seconds

Introducing MakoraGenerate. The fastest way to write GPU kernels.

Generate optimized GPU kernels in under 60 seconds

Introducing MakoraGenerate. The fastest way to write GPU kernels.

Generate optimized GPU kernels in under 60 seconds

Introducing MakoraGenerate. The fastest way to write GPU kernels.

Generate optimized GPU kernels in under 60 seconds

AI-powered kernel generation is here

AI-powered kernel generation is here

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.

The fastest way to build, tune, and deploy GPU kernels.

The fastest way to build, tune, and deploy GPU kernels.

Auto code generation

Auto code generation

AI transforms PyTorch or natural language into production-quality kernels

AI transforms PyTorch or natural language into production-quality kernels

Full-stack agent

Full-stack agent

Generate, compile, validate, and benchmark automatically

Generate, compile, validate, and benchmark automatically

Lightning-fast compilation

Lightning-fast compilation

Our new build pipeline is now 15× faster, dramatically improving iteration speed and enabling rapid workflows.

Our new build pipeline is now 15× faster, dramatically improving iteration speed and enabling rapid workflows.

Evolutionary tuning engine

Evolutionary tuning engine

Explore hundreds of variations to land on the best-performing kernel

Explore hundreds of variations to land on the best-performing kernel

Built-in benchmarking

Built-in benchmarking

See latency, FLOP efficiency, and throughput metrics instantly

See latency, FLOP efficiency, and throughput metrics instantly

Anywhere deployment

Anywhere deployment

Drop Makora kernels directly into your stack—no rewrites needed

Drop Makora kernels directly into your stack—no rewrites needed

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.

Copyright © 2026 MakoRA. All rights reserved.

Copyright © 2026 MakoRA. All rights reserved.

Copyright © 2026 MakoRA. All rights reserved.

Copyright © 2026 MakoRA. All rights reserved.