推論系統

推論 runtime、量化、 serving、KV cache、成本與效能。

推論系統

Triton 2.72 Fixes Dynamic Batching Starvation and Response Ordering, Upgrades to CUDA 13.4 Inference Stack

NVIDIA Triton Inference Server 2.72.0 fixes an issue that could cause the scheduler to stop dispatching work while requests were still pending and restores the completion-order semantics of `preserve_ordering`. The release also updates its CUDA, TensorRT, and gRPC dependencies, but no TensorRT-LLM image is available, while security warnings remain for vLLM and Ray deployments.

代理工具

MCP Inspector 2.4 Unifies Web, CLI, and TUI in One Package; Deploying MCP Apps Requires Three Local Ports

The latest official MCP Inspector package provides browser, command-line, and terminal interfaces through a single executable, sharing a common protocol and OAuth state core. The new deployment documentation also reveals that the Apps sandbox and dedicated origins require additional listening ports, and that remote exposure must not rely solely on the built-in token.

推論系統

fal Co-Designs Post-Training and GB200 Inference for H3 Max, Cutting Five-Second Video Generation to About Three Seconds

H3 Max adds new post-training data to MiniMax H3’s open weights and uses a custom inference stack to increase video-generation throughput. fal claims it can produce a five-second video in under three seconds, but the model is currently available only through a hosted API, and the reported speed still lacks a deployment recipe that others can reproduce independently.

推論系統

gemma4.c Reimplements Gemma 4 E2B Inference in Roughly 700 Lines of Pure C, Outperforming General-Purpose Frameworks in Single-Machine CPU Tests

The open-source gemma4.c project packs the tokenizer, Transformer, KV cache, sampling, and SIMD kernels into a single C file, with no external inference library required. In the author’s Ryzen 7 7700 tests, it outperformed llama.cpp, but the results depend on a fixed model, a single CPU backend, and a specialized data layout, so they should not be treated as a general performance conclusion.

代理工具

DeepSeek Harness 0.1.2 Alpha Enables Model Selection for Subagents, Completes ACP Permission and Cancellation Controls

The latest DeepSeek Harness release lets a primary agent select providers, models, reasoning effort, and output limits for subagents within its authorized scope. It also completes ACP interfaces for sessions, MCP, permissions, and cancellation. The release expands networking and external-model integrations, but the maintainers explicitly warn that its sandbox and approval mechanisms should not yet be considered secure isolation.