Top Sparse Models.
For Any Hardware.
From language models to devices, we develop sparse models for hardware-efficient computing.
SparseLLM
SparseLLM is our large language model offering within the three-product-line portfolio, connecting sparse training and deployment adaptation with practical applications.
Explore SparseLLMView the open-weight 8B modelOne scientific foundation.
A wider world of applications.
Unlock compute potential. Reshape the economics of AI.
From large-model training to cloud inference, SparseMind combines original sparse learning with hardware co-design. With model quality as the benchmark, we pursue higher throughput, lower energy use and lower cost per token to bring advanced AI to applications at scale.
Capabilities and deliverables are defined for each project.
Discuss your applicationBegin with a real task.
Bring the target model, quality requirements, workload and hardware environment together in a project with clear acceptance criteria.
- Model & structureAdapted models, sparsity specifications and structural checks.
- Quality & executionTask-level evaluations against dense baselines, with comparisons on the target runtime.
- Reproducibility & integrationInstructions for running and integrating the model in the agreed environment.
Project scope, deliverables and acceptance criteria are agreed for each engagement.
Discuss your application