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MARSHA-H1

Hyper Heterogeneous AI Engine Powered by Every CPU

AMX-TILE 16x16 INT8 BLOCKS

AVX-512 UTILIZATION 98%

VNNI 4X THROUGHPUT BOOST

CPU Architecture

L2 Cache Layer

Model Weights Preloaded with optimized memory mapping

AVX-512 Execution Unit

Advanced Vector Extensions with 512-bit SIMD processing

Memory Controller

High-bandwidth direct memory access with smart caching

3X FASTER THAN
GPU TRANSFER

CPU Total Latency⚡

22ms

GPU (PCIe + Compute)🔌

30ms

Tested on Xeon 8480+ vs A100-PCIE-40GB

Technology
Stack Anatomy

  • AI Runtime layer

  • AMX/VNNI Gate

  • Cache topology mapper

  • 1model =
  • 2load_model("resnet50.onnx")
  • 3optimized = jit_compile(
  • 4  model,
  • 5  target="amx_int8",
  • 6  cache_alloc="L2", # Preload weights
  • 7  kernel_fusion=True # Enable fusion
  • 8)

Extreme
Performance

RESNET-50

19MS/BATCH @ BF16 PRECISION

  • - CPU: Intel Xeon 8462Y+ (56C/112T)
  • - Memory: 8-Channel DDR5-6000 ECC
  • - Cooling: Liquid Nitrogen Assisted (Stable @ -50°C)

DEEPSEEK-6.7B

42 TOKENS/S @ 4BIT QUANT

  • - Quantization: GPTQ-4bit-128groups
  • - Context Window: 32K Tokens
  • - KV-Cache: 100% L3 Hit Rate

POWER EFFICIENCY

3.8X VS NVIDIA L4

  • - Workload: 1000 consecutive reasoning tasks
  • - CPU TDP: 350W (Sustained)
  • - GPU TDP: 275W (Peak)

Advanced Matrix
Extensions (AMX) Assembly