Abstract: The block-based inference engine, powered by noncontiguous key-value (KV) cache management, has emerged as a new paradigm for large language model (LLM) inference due to its efficient memory ...

ZINC takes the hardware these cards already have — 576 GB/s memory bandwidth, cooperative matrix units, 16–32 GB VRAM — and builds an inference engine that actually uses it.

Abstract: In the era of artificial intelligence (AI), deep neural networks (DNNs) have emerged as the most important and powerful AI technique. However, large DNN models are both storage and ...

When Jensen Huang told 30,000 attendees at GTC last week that the future data centre is a “token factory,” he was describing a world that a small Israeli startup has been quietly building toward for ...

Using the Triton Inference Server In-Process Python API you can integrate triton server based models into any Python framework to consume the messages from a Kafka topic and produce the inference ...

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?” ...

Builds on ZEDEDA’s proven edge orchestration foundation, which already manages tens of thousands of application instances in the world's most demanding field environments Enables customers to build, ...