Anthropic is hiring an AI chip design team
Anthropic is building a team for designing its own custom AI chips. The Claude maker said it would co-design hardware and models to help its technology run faster and more efficie…
toolmodelinfra
AI Infrastructure
AI infrastructure is the backbone of every model deployment — inference optimization, training platforms, GPU allocation, and cloud services change frequently enough that builders and operators need a dedicated signal feed to stay ahead.
This cluster covers infrastructure launches, inference engine updates, training platform features, deployment tool releases, and cloud-service AI signals. Each signal links to the primary source for technical evaluation.
Use this page to monitor infra shifts: catch new inference engines, compare training platform costs, and evaluate deployment tools before committing to a stack.
12 signalsSorted by date, newest first
MacPaw taps Liquid AI to offer on-device inference to devs building for its app store
MacPaw is building a local version of its AI assistant Eney using Liquid AI's models.
toolmodelinfra
AMD’s data center business is booming while gaming takes a backseat
Driven by demand for AI capacity, AMD's data center revenue more than doubled year-over-year in its latest earnings report, reaching $6.7 billion. That's up from $5.8 billion in Q…
infra
Anthropic signs $10B deal with AI cloud startup Volta
Anthropic has been on a cloud partnership spree in recent months, and its latest move is reportedly a $10 billion deal with AI cloud startup Volta.
toolinfraproduct
Nvidia doesn’t mess around: A week after open AI industry group formed, it’s already showing progress
The week-old Open Secure AI Alliance, spearheaded by Nvidia and grown to over 120 companies, already has proposals out for defending against AI agents.
agentinfra
Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility
Large language models can solve substantially harder reasoning problems with more inference-time compute. The term "test-time scaling," however, now covers diverse inference algor…
toolmodelagentinfra
Interpretable Adaptive Sampling for LLM Test-Time Scaling
Test-time scaling improves LLM reasoning by generating and aggregating multiple candidate answers, yet many pipelines use fixed per-query budgets that spend the same compute on ea…
toolmodelagentinfra
A game theory for foundation models shows new paths to rational cooperation through similarity inference
As autonomous agents powered by foundation models are increasingly integrated into social and economic systems, understanding the principles governing their collective behavior is…
modelagentinfrasecurity
The Transformer Revolution, Part 1: Dynamic Processing through Output- Weight Interconnections
This paper offers a new interpretation of the Transformer during inference. Against the "stochastic parrot" view that large language models merely reproduce statistical regulariti…
toolmodelinfraresearch
Is the future of data centers portable? Runware builds a pod to find out
On Tuesday, AI infrastructure company Runware announced the launch of its own modular data center called Sonic Inference Pod.
infraproduct
AWS is helping vibe-coding startup Superblocks, and the implications are big
AWS now allows vibe-coding tool Superblocks to be embedded into the private clouds of AWS customers. It's another step toward decoupling apps from models.
modelinfraproduct
deepseek-ai/DeepSeek-V4-Flash-0731
<p><strong><a href="https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731">deepseek-ai/DeepSeek-V4-Flash-0731</a></strong></p> The latest release in DeepSeek's V4 family, "wit…
toolmodelagentinfraproduct