DeepSeek open sources DSpark, a new framework to speed up LLM inference by up to 85%

DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.
Semiconductor Engineering

AI Inference Needs A Mix-And-Match Memory Strategy

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 ...
Developer Tech

NVIDIA: DFlash block diffusion accelerates autoregressive LLMs

Deploying DFlash block diffusion on NVIDIA hardware accelerates autoregressive LLMs during latency-sensitive inference.
Morningstar

SambaNova and Intel Announce Blueprint for Heterogeneous Inference: GPUs for Prefill, SambaNova RDUs for Decode, and Intel® Xeon® 6 CPUs for Agentic Tools

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 ...
PC Magazine

inference engine

The part of an AI system that generates answers. The inference engine is the software people interact with when they ask ChatGPT, Grok or Gemini a question. Inference engines rely entirely on and give ...

Google's DiffusionGemma generates 256 tokens in parallel and self-corrects as it goes

Google's open-source diffusion language model generates 256 tokens in parallel and self-corrects, hitting 4x speed on one GPU at a cost to quality.