Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Rearranging the computations and hardware used to serve large language ...
Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has ...
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How SoundHound's hybrid AI model beats pure LLM players
SoundHound AI’s SOUN competitive edge lies in its hybrid AI architecture, which blends proprietary deterministic models with ...
Cloudflare’s NET AI inference strategy has been different from hyperscalers, as instead of renting server capacity and aiming to earn multiples on hardware costs that hyperscalers do, Cloudflare ...
SwiftKV optimizations developed and integrated into vLLM can improve LLM inference throughput by up to 50%, the company said. Cloud-based data warehouse company Snowflake has open-sourced a new ...
MLCommons, the open engineering consortium for benchmarking the performance of chipsets for artificial intelligence, today unveiled the results of a new test that’s geared to determine how quickly ...
Forged in collaboration with founding contributors CoreWeave, Google Cloud, IBM Research and NVIDIA and joined by industry leaders AMD, Cisco, Hugging Face, Intel, Lambda and Mistral AI and university ...
OpenAI and Google – the two leading large language model (LLM) developers – have different strengths. LLM technology is being developed in a direction toward differentiation. At the technical level, ...
A technical paper titled “LLM in a flash: Efficient Large Language Model Inference with Limited Memory” was published by researchers at Apple. “Large language models (LLMs) are central to modern ...
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