MemVerge

WEKA develops AI-native data infrastructure software that accelerates machine learning and high-performance computing workloads across cloud and hardware environments.

d-Matrix designs purpose-built AI inference computing hardware, using digital in-memory compute technology to run generative AI at scale with lower latency, higher throughput, and reduced energy use.

Moonlite provides high-performance, co-located AI infrastructure and cloud-native platforms for large-scale model training and compute-intensive workloads for enterprises and research institutions.

Gimlet Labs is an applied research lab building AI infrastructure - including serverless inference and autonomous kernel generation - to make AI workloads significantly more efficient.

Cerebras builds wafer-scale AI supercomputers that consolidate the computational power of dozens of GPUs onto single chips for accelerated machine learning training and inference.

Sciforium develops byte-native multimodal AI foundation models and a proprietary, high-efficiency platform for serving and deploying AI models.