MAKO provides automated GPU kernel selection and tuning technology that enables the deployment of AI models with up to 70% lower computing costs across any hardware infrastructure. This solution eliminates the need for manual optimization and vendor lock-in, allowing businesses to efficiently scale their AI operations in any cloud or on-premises environment.
Funding
$8.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Deploying AI models across diverse hardware infrastructures often requires manual optimization and vendor-specific tuning, leading to increased computing costs and vendor lock-in. Businesses struggle to efficiently scale their AI operations while maintaining performance and cost-effectiveness across various cloud and on-premises environments.
Solution
MAKO provides automated GPU kernel selection and tuning technology that optimizes AI model deployment, reducing computing costs by up to 70% across any hardware infrastructure. The platform eliminates the need for manual optimization by automatically generating optimized containers that can be deployed in any cloud, VPC, or on-premises data center. MAKO supports a wide range of hardware, including accelerators from NVIDIA, AMD, Intel, and Apple, enabling businesses to leverage the best hardware for their specific AI workloads. With one-click deployment and auto-scaling capabilities, MAKO simplifies the process of launching and scaling AI endpoints, allowing businesses to efficiently manage their AI infrastructure.
Target Audience
MAKO targets businesses that need to deploy and scale AI models efficiently across diverse hardware infrastructures, including those using cloud, on-premises, or hybrid environments.
Features
- Automated GPU kernel selection and tuning for optimal performance
- Auto-generation of optimized containers for deployment on any cloud or on-premises environment
- Support for a wide range of hardware accelerators from NVIDIA, AMD, Intel, and Apple
- One-click deployment of AI models on any hardware
- Auto-scaling across multiple clouds and hardware vendors
- State-of-the-art inference optimizations for various model types