硬體

AI 晶片、GPU、資料中心、邊緣裝置與硬體安全。

Root Access Can Abuse the Pixel Camera’s Hardware Key to Sign Fake Images, and C2PA Verification Will Still Pass

Security researcher David Buchanan used Keystork to impersonate the camera app and ask Android StrongBox to generate valid Content Credentials for arbitrary AI-generated images. The attack does not require exporting the private key; it exposes how a compromised signing endpoint can abuse a genuine key, rather than a flaw in C2PA’s signature algorithms.

2026-08-26

推論系統

NVIDIA Dynamo Prewarms a Standby Engine with Shared HBM Weights, Cutting Failover from 283 Seconds to 7.3 Seconds

Dynamo’s experimental Shadow Engine Failover lets two inference processes map the same GPU weights, avoiding a model reload after a process crashes. NVIDIA’s GLM-5.2 test showed a nearly 39× reduction in recovery time, but the feature currently primarily supports vLLM and cannot handle GPU, node, or cross-node failures.

2026-08-26

AI 安全

“Offline” Agents Can Still Retrieve External Files via Inference APIs, So Evaluation Isolation Must Extend Server-Side

Prime Intellect found that even when agents are placed in sandboxes that prohibit outbound connections, they may still use an inference endpoint’s remote-file functionality as a network proxy. The attack succeeded only once in testing, but it exposed a shared boundary gap between evaluation cheating and SSRF in inference services.

2026-08-26

代理工具

Pipette Open-Sources On-Device Model Benchmarking for Accuracy, Latency, and Memory—but Rankings Still Cannot Be Compared Directly Across Devices

Liquid AI and Artificial Analysis have released Pipette, which measures on-device inference across more than 1,000 combinations of models, quantizations, runtimes, devices, and context configurations. Speed and memory are measured on physical devices, while quality scores are generated separately on H100 GPUs, so the two testing paths must be distinguished when interpreting its combined charts.

2026-08-26

AI 安全

TRACE Joins the Linux Foundation: Using Hardware Attestation to Prove Where an Agent Runs, but Not That Its Behavior Is Correct

The Linux Foundation has accepted the TRACE specification, which creates portable cryptographic evidence for AI agents’ models, execution environments, policies, and tool calls. The current v0.2 remains a Developer Preview: it can prove that records are linked to an attested environment, but not that an agent completed its task or that the policy itself is secure.

2026-08-26

NVIDIA Adds Two-Stage Generation for MiniMax H3, Cutting 10-Second Video Latency to 14.9 Seconds on a Single GB200

H3 Super Acceleration first creates a low-resolution draft with four denoising steps, then uses LTX and Sol-Attn to complete high-resolution refinement in three steps. NVIDIA reports that 768p, 10-second video generation is 27.7× faster than the SGLang baseline, but the acceleration changes the sampling path and is not a pure kernel optimization at equivalent quality.

2026-08-25

GitHub Repo

Prime Agent Open-Sources a Persistent RLM Harness That Keeps Agent Memory, Subagents, and Execution Environments Outside the Conversation

Prime Agent supports long-running coding agents with a persistent IPython environment, daemon sessions, and a versionable Continual Harness. Its authors report that ARC-AGI-3 RHAE Best@1 rose from 30% to 95.5%, but the score reflects the complete model-and-harness system and should not be treated as an isolated comparison of underlying model capabilities.

2026-08-25

硬體

MTIA 300 Integrates 12 RDMA NICs and Collective Communication Engines On-Chip, Avoiding PCIe and Compute-Core Contention

Meta has disclosed the system design of MTIA 300, which accelerates recommendation-model training with built-in NIC chiplets, near-memory reduction units, and compiled HCCL. The company says communication time across 40 accelerators was reduced to roughly one-quarter that of a reference GPU cluster, but provided no comparisons of cost, power consumption, or general-purpose LLM training.

2026-08-25

AI 基礎設施

NVIDIA Groq 3 LPX Enters Mass Production: Static Scheduling Delivers 3,431 Output Tokens per Second at 100K Context

Groq 3 LPX integrates 256 LP30 chips, 128GB of SRAM, and compiler-prescheduled inter-chip transfers into a low-latency decoding system. Third-party testing shows it leading existing public endpoints in long-context speed, but cost, concurrent throughput, and production-service performance remain undisclosed.

2026-08-25

推論系統

AgentX Publishes Long-Context Agent Inference Results, Replacing Fixed-Length Stress Tests with Real-World Session Shapes

SemiAnalysis has published live AgentX results and a complete replay toolkit for comparing GPUs, inference engines, and cache designs using multi-turn coding-agent traces. The public corpus preserves request lengths, shared prefixes, pauses, and subagent topologies while replacing the original prompts and code with synthetic content.

2026-08-24

推論系統

Atlas Submits MLPerf Edge Agent Tests on NVIDIA and AMD Using the Same Inference Core; Results Remain Under Embargo

The Rust/CUDA inference engine Atlas has submitted MLPerf Inference 6.1 results using GB10 and AMD gfx1151 systems, testing multi-turn tool calling on a single accelerator. The submissions are public, but throughput and latency results remain under embargo, so no conclusions about cross-hardware performance can yet be drawn.

2026-07-27

AI 安全

NemoClaw 0.0.114 Moves Read-Only MCP Calls Out of the Model Decision Path and Tightens Image and Installation Verification

NVIDIA has added deterministic read-only MCP calls to LangChain Deep Agents Code, allowing automated workflows to execute restricted tools without model involvement. The new release also pins container image digests, strengthens supply chain verification, and improves sensitive export cleanup, although “read-only” still depends on the accuracy of tool registration metadata.

2026-08-24