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Description
Exafunction enhances the efficiency of your deep learning inference tasks, achieving up to a tenfold increase in resource utilization and cost savings. This allows you to concentrate on developing your deep learning application rather than juggling cluster management and performance tuning. In many deep learning scenarios, limitations in CPU, I/O, and network capacities can hinder the optimal use of GPU resources. With Exafunction, GPU code is efficiently migrated to high-utilization remote resources, including cost-effective spot instances, while the core logic operates on a low-cost CPU instance. Proven in demanding applications such as large-scale autonomous vehicle simulations, Exafunction handles intricate custom models, guarantees numerical consistency, and effectively manages thousands of GPUs working simultaneously. It is compatible with leading deep learning frameworks and inference runtimes, ensuring that models and dependencies, including custom operators, are meticulously versioned, so you can trust that you're always obtaining accurate results. This comprehensive approach not only enhances performance but also simplifies the deployment process, allowing developers to focus on innovation instead of infrastructure.
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
Integrations
DeepSeek
GLM-5.1
GLM-5.2
OpenRouter
PyTorch
Qwen
TensorFlow
Vercel AI Gateway
omp
Integrations
DeepSeek
GLM-5.1
GLM-5.2
OpenRouter
PyTorch
Qwen
TensorFlow
Vercel AI Gateway
omp
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
Exafunction
Website
exafunction.com
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