Alternatives to Spectral Compute

Industry-leading AI infrastructure for ultra-fast AI inference and training powered by Wafer-Scale Engines.

Etched is building the hardware for superintelligence by burning the transformer architecture into their chips.

Impala AI provides an inference engine for enterprises to scale AI efficiently and affordably.

Velaura AI develops ultra-low power silicon and software technologies for AI infrastructure, focusing on energy efficiency for data centers and physical AI applications.

A leading semiconductor manufacturer providing advanced chip manufacturing services.

Groq develops a high-performance AI inference chip and compiler for ultra-low latency AI applications.

Designs and licenses RISC-V based custom processor cores and IP for diverse applications.

Develops low-energy AI processors with spatial dataflow architecture for extended device operation.

Expedera provides scalable Neural Processing Unit (NPU) semiconductor IP for edge AI inference.

Developing an AI chip with integrated optical components for faster and more efficient AI inference.

Designs high-performance AI processors and RISC-V based compute solutions.

AI computing company providing programmable edge AI hardware and software solutions.

d-Matrix develops high-performance AI compute platforms and chips designed for efficient inference of large language models and generative AI workloads.

AI chip startup focused on energy-efficient inference acceleration, acquired by AMD.

Develops high-performance AI accelerators and computing solutions for intelligent data centers and edge devices.

CoreWeave is an AI-native cloud platform providing GPU infrastructure and specialized cloud services for complex AI workloads.

Together AI offers an AI-native cloud platform providing high-performance inference APIs, GPU clusters, and fine-tuning capabilities for open-source AI models.

AI chipmaker

Canadian fabless semiconductor company specializing in low-power analog AI compute-in-memory chip technology for edge devices.