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20 articles
AI chip startup Etched has achieved a $10.3 billion valuation despite industry skepticism, offering GPU-free solutions for AI inference.
Learn how to build and optimize AI inference pipelines using TensorFlow, mimicking the specialized approach of companies like Etched in the chip industry.
Nvidia has chosen to collaborate with its chip rival d-Matrix, combining their technologies to create a joint AI system for running inference models. The partnership marks a strategic shift toward cooperation in the competitive AI chip market.
Learn how to use ZML's open-source inference optimization software to accelerate AI model execution across multiple hardware platforms, demonstrating performance improvements through practical implementation.
Learn how to build and optimize AI inference pipelines using TensorFlow, similar to what companies like Etched are developing for specialized AI chips.
Learn to build and test AI inference systems that demonstrate how Micron's memory technology impacts AI model performance, simulating the advantages that make Micron a potential rival to Nvidia.
AI chip startup Groq is raising $650 million in internal funding as it pivots from general hardware to focus on AI inference, the process of refining how AI models respond to prompts.
London-based AI chip startup Fractile has raised $220 million to bring its in-memory computing inference chip to production, with support from Accel and Pat Gelsinger.
Meta and Stanford researchers introduce the Fast Byte Latent Transformer, reducing inference memory bandwidth by over 50% without subword tokenization.
Learn how to set up and use TokenSpeed, an open-source LLM inference engine optimized for agentic workloads, with step-by-step instructions for beginners.
This article explains the concept of inference optimization in AI, why it's critical for modern AI deployment, and how companies like Nebius are investing heavily in this area.
This article explains Google's strategy to challenge Nvidia in AI inference by building a diverse chip supply chain with four partners, spanning multiple chip generations from Ironwood to TPU v8.