AI/ML
Artificial Intelligence & Machine Learning
Build
Explore/Develop/Train
AI Training/Inference
- Cerebro: 6 Alveo FPGAs
- Genisys: 6 V100 GPUs
- Synergy: 2 GPU 2 FPGA
- HW emulation, acceleration, validation
- FPGA Prototyping and SW bring-up
AI Training
- 32 Ascend 910
- 16 Kunpeng 920
- 8 PFLOPS@FP16
- CANN computing architecture
- SW stack allowing 32 simultaneous users
Optimize
Prototype & Benchmark
AI-DRIVEN OPTIMIZER
Optimize Deep Neural Networks by making them faster, smaller and energy-efficient from cloud to edge computing
Deploy
Landing your solution
Edge PLATFORMs and IPs
32- and 64-bit open-source RISC-V cores
- Barrel RISC-V Processor For AI Acceleration
- RISC-V Processor Design and Prototyping
Atlas 200 DK
AI Developer Kit
- AI @ edge
- Ascend 310
- 22 TOPS INT8
16 TOPS INT8
8 TOPS INT8
