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Description
Mirai is an advanced platform tailored for developers that focuses on on-device AI infrastructure, enabling the conversion, optimization, and execution of machine learning models directly on Apple devices with a strong emphasis on performance and user privacy. This platform offers a cohesive workflow that allows teams to efficiently convert and quantize models, assess their performance, distribute them, and conduct local inference seamlessly. Specifically designed for Apple Silicon, Mirai strives to achieve near-zero latency and zero inference cost, while ensuring that sensitive data processing remains securely on the user's device. Through its comprehensive SDK and inference engine, developers can swiftly integrate AI functionalities into their applications, leveraging hardware-aware optimizations to maximize the capabilities of the GPU and Neural Engine. Additionally, Mirai features dynamic routing abilities that intelligently determine the best execution path for requests, whether that be locally on the device or utilizing cloud resources, taking into account factors such as latency, privacy, and workload demands. This flexibility not only enhances the user experience but also allows developers to create more responsive and efficient applications tailored to their users' needs.
Description
NVIDIA TensorRT is a comprehensive suite of APIs designed for efficient deep learning inference, which includes a runtime for inference and model optimization tools that ensure minimal latency and maximum throughput in production scenarios. Leveraging the CUDA parallel programming architecture, TensorRT enhances neural network models from all leading frameworks, adjusting them for reduced precision while maintaining high accuracy, and facilitating their deployment across a variety of platforms including hyperscale data centers, workstations, laptops, and edge devices. It utilizes advanced techniques like quantization, fusion of layers and tensors, and precise kernel tuning applicable to all NVIDIA GPU types, ranging from edge devices to powerful data centers. Additionally, the TensorRT ecosystem features TensorRT-LLM, an open-source library designed to accelerate and refine the inference capabilities of contemporary large language models on the NVIDIA AI platform, allowing developers to test and modify new LLMs efficiently through a user-friendly Python API. This innovative approach not only enhances performance but also encourages rapid experimentation and adaptation in the evolving landscape of AI applications.
API Access
Has API
API Access
Has API
Integrations
CUDA
Dataoorts GPU Cloud
Kimi K2
LFM-3B
Llama
MATLAB
NVIDIA AI Enterprise
NVIDIA Broadcast
NVIDIA Jetson
NVIDIA Riva Studio
Integrations
CUDA
Dataoorts GPU Cloud
Kimi K2
LFM-3B
Llama
MATLAB
NVIDIA AI Enterprise
NVIDIA Broadcast
NVIDIA Jetson
NVIDIA Riva Studio
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Mirai
Founded
2024
Country
United States
Website
trymirai.com
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
developer.nvidia.com/tensorrt