Inference chips are locked in years before the models they’ll run. Architect Labs says AI can design them in weeks

Architect Labs' AI system designed the Redwood inference chip in under two weeks. It runs on an FPGA, but its edge over ...
IEEE Spectrum on MSN

The AI inference revolution is here

Today’s tidal wave of queries is forcing hardware makers to pivot ...

Cohere's Model Vault now encrypts AI inference so even Cohere cannot see enterprise customers' data

Cohere plans on making the full serving stack used in Model Vault open source so that independent auditors will be able to ...
The Silicon Review

Understanding Atlas Cloud: A Unified Approach to AI Model Inference

Learn how Atlas Cloud takes a unified approach to AI model inference, helping simplify model deployment, cloud infrastructure ...
Unite.AI

AWS Launches SageMaker HyperPod Inference Gateway for GPU-Aware Routing

Amazon Web Services announced Amazon SageMaker HyperPod Inference Gateway on September 18, 2026, a Kubernetes-native, GPU-aware routing system for large language model inference that deploys as a ...
Crypto Briefing

Ambient develops Layer 1 blockchain where miners perform AI inference tasks

Ambient builds an SVM-compatible Layer 1 blockchain replacing traditional mining with verified AI inference using its novel Proof of Logits ...
Spiceworks on MSN

How AI inference is creating a privacy problem your DLP tools can't see

Somewhere on your team right now, someone is pasting a chunk of source code into ChatGPT to debug an error. Someone else is dropping in meeting notes and asking for a summary. A third person is ...

Huawei Introduces OceanStor M900 Context Memory Storage to Accelerate AI Inference in Hyperscale Data Centers

At HUAWEI CONNECT 2026, David Wang, Deputy Chairman of the Board and Rotating Chairman at Huawei, officially introduced OceanStor M900 Context Memory Storage during his keynote. Designed for AI ...
Forbes

The Inference Economy: How Sparse Computing And Model Optimization Are Reshaping Enterprise AI Deployment

The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...
JD Supra

Model inversion and membership inference: Understanding new AI security risks and mitigating vulnerabilities

Model inversion and membership inference attacks create unique risks to organizations that are allowing artificial intelligences to be trained using their data. Companies may wish to begin to evaluate ...