Edge AI
Effortlessly Train, Optimize and Deploy ML models on edge devices
Build
AI Training
CLOUD
Features
- Tesla V100 Nodes
- Alveo U250 Nodes
- 8 nodes
Applications
- Model training
- HPC
- ASICs Prototyping
- Custom neural network accelerators
Optimize
AI Optimization
AI-DRIVEN OPTIMIZATION
AI Optimization
Optimize Deep Neural Networks by making them faster, smaller and energy-efficient from the cloud to the edge
Supported ML Frameworks:
- TensorFlow
- PyTorch
- KERAS
- Caffe
- ONNX
- TVM
Deploy
AI Inference
EDGE
Features
- 502 INT8 TOPs
- 204MB on-chip SRAM
- 75W TDP 40W typical
- 8 TOPs/W
Applications
- Vision
- NLP
- Finance
- HPC
Partnerships with AI Hardware and Software Leaders
Events
Success Stories
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