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ease
features
design
support

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Description

The Intel® Distribution of OpenVINO™ toolkit serves as an open-source AI development resource that speeds up inference on various Intel hardware platforms. This toolkit is crafted to enhance AI workflows, enabling developers to implement refined deep learning models tailored for applications in computer vision, generative AI, and large language models (LLMs). Equipped with integrated model optimization tools, it guarantees elevated throughput and minimal latency while decreasing the model size without sacrificing accuracy. OpenVINO™ is an ideal choice for developers aiming to implement AI solutions in diverse settings, spanning from edge devices to cloud infrastructures, thereby assuring both scalability and peak performance across Intel architectures. Ultimately, its versatile design supports a wide range of AI applications, making it a valuable asset in modern AI development.

Description

Wafer is revolutionizing enterprise AI by offering the quickest open-source LLMs, enabling serverless and dedicated inference designed specifically for production workloads. With its serverless inference, teams can utilize top-tier open models without the burden of infrastructure and deployment challenges, providing rapid APIs that include GLM-5.2-Fast for reduced latency through EAGLE speculative decoding and a guaranteed throughput SLA, alongside GLM-5.2, which serves as a flagship model boasting enhanced coding and reasoning abilities. Wafer's innovative technology employs agents to optimize inference throughout the stack, pinpointing and addressing bottlenecks in orchestration, algorithms, serving engines, GPU kernels, and various hardware setups. This system meticulously profiles the stack to determine whether latency or throughput issues arise from factors such as scheduling, decoding, kernels, memory pressure, or hardware compatibility, and then it explores numerous paths to deliver the most effective solution. Rather than depending on a singular switch or heuristic, Wafer undertakes a comprehensive search of combinations involving models, engines, kernels, and hardware to maximize performance. By continually refining these combinations, Wafer ensures that enterprises can operate at peak efficiency while leveraging the best of open-source technologies.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Caffe
Cameralyze
DeepSeek
GLM-5.1
GLM-5.2
Hugging Face
Intel Geti
Intel Open Edge Platform
Keras
LaunchX
Nero AI
Nutanix Karbon Platform Services
ONNX
OpenRouter
PaddlePaddle
PyTorch
Qwen
TensorFlow
Vercel AI Gateway
omp

Integrations

Caffe
Cameralyze
DeepSeek
GLM-5.1
GLM-5.2
Hugging Face
Intel Geti
Intel Open Edge Platform
Keras
LaunchX
Nero AI
Nutanix Karbon Platform Services
ONNX
OpenRouter
PaddlePaddle
PyTorch
Qwen
TensorFlow
Vercel AI Gateway
omp

Pricing Details

Free
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

Intel

Founded

1968

Country

United States

Website

www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html

Vendor Details

Company Name

Wafer

Country

United States

Website

www.wafer.ai/

Product Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Product Features

Alternatives

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Alternatives

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