Neural Core Systems

High-performance neural processing units designed for advanced AI model training and inference

Discover Core

Core Capabilities

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Parallel Processing

Optimized for simultaneous multi-model training with distributed tensor operations

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Dynamic Scaling

Automatic resource allocation based on real-time workload requirements

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Precision Optimization

16-bit floating point support for efficient inference without performance loss

Neural Core Experiments

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Tensor Visualization

See how multi-dimensional arrays transform during complex model training sessions

Start Visualizing ๐Ÿ”—
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Model Benchmarking

Test performance metrics across different neural network configurations

Run Tests ๐Ÿ”—

Core Architecture

System Principles

Our neural core combines:

1. Hybrid Architecture
FPGA + GPU acceleration for flexible AI workloads
2. Neural Network Fabric
Customized interconnect for multi-model synchronization
3. Quantization Support
Efficient low-precision computations for deployment
๐Ÿ” Technical Details

Neural Core Assets

Developer Kit

  • โœ“ Software Development Kit
  • โœ“ API Reference Docs
  • โœ“ Sample Project Templates
๐Ÿ”— Download SDK (2.1GB)

Performance Metrics

TFLOPS
548.7 TFLOPS
Memory throughput
2.8 TB/s

Power Your AI Projects

Access the most advanced neural processing technology for research and production systems