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Enflame CloudBlaze T10

Enflame's first AI training accelerator, based on self-developed Suisi 1.0 chip, released in December 2019, one of China's earliest mass-produced high-performance AI training cards.


Core Specifications

SpecificationValue
ArchitectureSuisi 1.0 (DTU dataflow architecture)
ProcessGF 12nm FinFET
Transistor Count14.1 billion
TDP225 W
Memory32 GB HBM2
Memory Bandwidth512 GB/s
FP32 Compute20 TFLOPS
FP16 / BF16 Compute80 TFLOPS
INT8 Compute160 TOPS (estimated)
InterfacePCIe 4.0 x16, dual-slot
InterconnectEnflame ESL 200GB/s (bidirectional)
Launch Date2019-12-11
PriceNot disclosed (estimated ¥40,000)

Technical Highlights

  • Suisi 1.0 chip: Enflame's first-generation self-developed cloud AI training chip, using GF 12nm process, 2.5D advanced packaging, integrating 14.1 billion transistors
  • DTU dataflow architecture: Reconfigurable dataflow architecture designed for AI training, supporting dynamic task scheduling
  • ESL high-speed interconnect: Self-developed 200GB/s bidirectional interconnect technology, supporting 1024-node cluster training, linear acceleration ratio up to 86%
  • TopsRider software stack: Companion TopsRider 1.0 software platform, supporting TensorFlow, PyTorch and other mainstream frameworks
  • Training scenario coverage: Supports CNN, RNN, LSTM, BERT and other common training models, covering image, streaming data, speech and other scenarios

Product Positioning

CloudBlaze T10 is Enflame's founding work, targeting NVIDIA V100, focusing on cloud AI training scenarios. As the earliest mass-produced high-performance AI training card in China, T10 filled the gap in domestic AI training chips when released in 2019.


Application Scenarios

  • Large-scale deep learning model training (GPT, BERT, ResNet, etc.)
  • Internet recommendation system training
  • Financial risk control model training
  • Medical imaging AI training
  • Educational and research AI training clusters

Reference Price

ChannelPriceDescription
Official pricingNot disclosedPlanned price ~$6000/card in 2019
Channel estimate≈ ¥40,000Estimated based on concurrent V100 pricing ratio


References