SparseChip

Model–chip co-design

Model structure → training adaptation → compiler and kernels → target hardware validation.

Research and validation

Public results, engineering validation and research targets.

H3C
MODEL

Qwen3-8B · 2:4

Quality adaptation and hardware-path evaluation. Perplexity changes include adaptation, sparsification and training.

Moffett
COMPILER EVALUATION

1B / 7B · separate studies

Sparse models meet compiler execution. Results from different model sizes, precisions and workloads remain separate.

MRDI
RESEARCH PROJECT · TARGETS

AI for semiconductor science

Advancing GaN physics simulation with sparse intelligence. Accuracy and sparsity figures remain acceptance targets.

Joint evaluation

SparseMind focuses on model structure and training adaptation. Compiler, kernels and deployment are developed jointly with partners for the target hardware.

01 Define the goal

Task quality, model version, hardware environment and serving workload.

02 Validate together

Fix baselines and conditions. Record quality, prefill, decode, end-to-end latency and resource use separately.

Bring your model and workload

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Enterprise & silicon

Define your model, hardware and real workload.

Contact us