OctoML
Accelerate and deploy models, everywhere.
Overview
OctoML provides a machine learning deployment platform that automates the process of optimizing and packaging trained models for efficient inference on any cloud or edge hardware. Built on the open-source Apache TVM project, the platform takes models from frameworks like TensorFlow and PyTorch and uses machine learning to find the best way to compile and accelerate them for a specific hardware target, reducing latency and cost.
β¨ Key Features
- Automated model optimization (acceleration)
- Hardware-aware model compilation
- Support for a wide range of hardware (NVIDIA, Intel, Arm, AWS Graviton)
- Containerized and deployable model packages
- Based on Apache TVM
π― Key Differentiators
- Hardware-agnostic optimization
- Uses machine learning to automate the optimization process
- Based on a powerful open-source compiler framework (Apache TVM)
Unique Value: Automatically optimizes ML models to achieve maximum performance on any cloud or edge hardware, reducing manual effort and unlocking efficiency.
π― Use Cases (4)
β Best For
- Accelerating computer vision models on NVIDIA GPUs
- Optimizing language models for inference on ARM-based CPUs
- Packaging models for deployment on various edge devices
π‘ Check With Vendor
Verify these considerations match your specific requirements:
- Training machine learning models
- Data collection and labeling
π Alternatives
Provides a hardware-agnostic solution that can outperform vendor-specific toolkits by exploring a wider optimization space.
π» Platforms
π Integrations
π Support Options
- β Email Support
- β Live Chat
- β Dedicated Support (Enterprise tier)
π Compliance & Security
π° Pricing
β 14-day free trial
Free tier: Starter tier with limited model accelerations.
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