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Qualcomm Cloud AI 100 (AIC100)

Product Overview​

Qualcomm Cloud AI 100 (codename AIC100) is Qualcomm's ASIC for data center AI inference, positioned as a low-power replacement for NVIDIA T4/L4. Commercially deployed on Hugging Face Inference API, Oracle Cloud, DaVinci, etc.

Based on Hexagon NPU IP, 400 TOPS INT8 (per card), typical power 75W (performance/watt advantage significant).

Core Specs​

ItemParameter
ArchitectureQualcomm AI Engine (Hexagon-based)
ProcessTSMC 7nm
INT8 Compute400 TOPS
FP16100 TFLOPS (official)
INT4800 TOPS (sparse)
On-chip SRAM16 MB
Memory16/32/64 GB LPDDR4X
Memory Bandwidth51.2 GB/s (16GB) / 102.4 GB/s (64GB)
TDP75 W (standard) / 150 W (high-performance mode)
Form FactorPCIe Gen4 x16 dual-slot card / M.2 / HHHL
InterconnectPCIe Gen4

Product Line​

ModelINT8MemoryTDPForm Factor
AI 100 Standard200 TOPS16 GB75 WPCIe / M.2
AI 100 Pro400 TOPS32 GB75 WPCIe
AI 100 Ultra400 TOPS64 GB150 WPCIe dual-slot

Performance/Watt Advantage​

ComparisonPerformance/Watt
Qualcomm AI 100 Ultra2.67 TOPS/W
NVIDIA L4~2.5 TOPS/W
NVIDIA T42.5 TOPS/W
NVIDIA A100 80GB1.0 TOPS/W
Advantage~2.7x vs A100

75W standard power = deployable in standard 1U servers, single chassis 8-16 cards.

Software Ecosystem​

Compiler and Runtime​

  • Qualcomm AI Engine Direct SDK (C/C++ API)
  • Qualcomm Neural Processing SDK (Python)
  • GLOW (LLVM-based AI compiler, originally from Facebook)

Framework Support​

  • TensorFlow / PyTorch / ONNX (via quantization conversion)
  • Apache TVM (auto quantization/compilation)

Model Support​

  • Mainstream CV models (ResNet, EfficientNet, YOLO)
  • Mainstream NLP models (BERT, RoBERTa)
  • Mainstream LLMs (Llama 2, Mistral, Falcon quantized editions)

Deployment Cases​

  • Hugging Face Inference Endpoints -- some endpoints run LLM inference on AI 100
  • Oracle Cloud Infrastructure (OCI) -- offers AI 100 bare metal instances
  • DaVinci -- AI 100 cluster service
  • Cirrascale -- cloud AI 100 rental

Vendor Information​

ItemContent
VendorQualcomm Technologies, Inc.
Product Pagehttps://www.qualcomm.com/products/technology/processors/cloud-ai-100
Price$1,500-$3,500 (depending on model)
Target Marketdata center inference, edge servers, hyperscale cloud

Use Cases​

  • ✅ Low-power data center inference (inference/watt SOTA)
  • ✅ Vision AI (CV inference)
  • ✅ Speech AI (NLP inference)
  • ✅ Edge servers (75W single card)
  • Warning: LLM inference (ecosystem decent, but performance behind NVIDIA H100/L40S)
  • ❌ Large model training (not supported)