➀ Panmesia secures $30 million to develop modular AI accelerators using chiplet technology, targeting LLMs and large-scale AI workloads with optimized resource utilization;
➁ Its flexible chiplet architecture integrates in-memory processing and CXL to reduce data movement, power consumption, and infrastructure costs while enabling scalability;
➂ The accelerator combines manycore and vector processor chiplets, leveraging advanced nodes to deliver high parallelism and tailored performance for diverse AI tasks.