Interactive LLMs (chat, copilots, agents) with strict latency targets Long‑context reasoning (codebases, research, video) with massive KV (key value) cache footprints Ranking and recommendation models ...
Processing 200,000 tokens through a large language model is expensive and slow: the longer the context, the faster the costs spiral. Researchers at Tsinghua University and Z.ai have built a technique ...
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Ahead of Nvidia Corp.’s GTC 2026 this week, we reiterate our thesis that the center of gravity in artificial intelligence is shifting from “How fast can you train?” to “How well can you serve?” ...
Coding agents are exposing the limits of GPU-only infrastructure, making each phase of the pipeline mission-critical: efficient prefill, high-throughput decoding, and high-performance agent task ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...
Deployed in AWS data centers and accessed through Amazon Bedrock, AWS Trainium + Cerebras CS-3 solution will accelerate inference speed Fastest inference coming soon: AWS and Cerebras are partnering ...
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