Updated daily305 verified stories
Chips News tracker.
AI chips, accelerators, GPUs, foundries, data centers, export controls, and the infrastructure behind model training and inference.
- 27stories this week
- 305sources cited
- 305verified timeline entries
Verified sourcing
Every story links to the strongest available evidence: original sources when available, otherwise clearly attributed reporting.
Plain English
What happened, why it matters, and what to watch — without the jargon.
No filler
When the signal is thin, we publish nothing rather than padding the feed.
More stories
9 storiesEnterprise
Nutanix says it will add AMD GPUs to its AI inference platform by year-end
CRN reports that Nutanix plans to support AMD GPUs in its enterprise AI inference stack by the end of the calendar year, following AMD’s $250 million investment in the company. CEO Rajiv Ramaswami described the move as a choice for customers seeking alternatives to Nvidia and more predictable costs for running AI…crn.comEnterprise
Salesforce uses SageMaker controls to spread Agentforce models across availability zones
AWS says Salesforce used a new SageMaker Inference Components placement capability to balance Agentforce model copies across Availability Zones while preserving GPU-sharing savings.aws.amazon.comProduct
Crypto Briefing reports Nvidia is moving Nemotron models to a four-to-six-week release cadence
Crypto Briefing reports that Nvidia is accelerating releases of its open-weight Nemotron AI models from every six to eight months to roughly every four to six weeks, based on an interview with Nvidia executive Bryan Catanzaro.cryptobriefing.comEnterprise
Deepgram adds billing and GPU visibility to its SageMaker AI deployments
Deepgram says new CloudWatch, Prometheus and OpenTelemetry metrics give customers more visibility into speech-AI usage, AWS Marketplace billing, engine capacity and per-GPU utilization when running its models on Amazon SageMaker AI.aws.amazon.comProduct
Databricks outlines fault-tolerant PyTorch training tools for AI Runtime
Databricks says distributed, asynchronous checkpointing and cached data loading can reduce recovery time and GPU idle time during large-scale PyTorch training, while warning that incomplete data-pipeline checkpoints can silently distort resumed jobs.databricks.comInnovation
DataKernelBench tests whether LLMs can optimize GPU database queries
A new benchmark evaluates whether language models can generate and improve GPU code for database-style queries, with the paper reporting speedups of up to 2.11× on one H100 GPU and 2.54× across four H100 GPUs.arxiv.orgInnovation
BanglaMamba trades some accuracy for faster, lower-memory Bangla fake-news detection
A new preprint reports that BanglaMamba, a state space model for Bangla fake-news detection, uses less GPU memory and processes data faster than tested BERT-based systems, while trailing BanglaBERT on accuracy and external-dataset performance.arxiv.orgIndustry
Business Insider reports Nvidia plans $18 billion in AI-related equity investments this fiscal year
Nvidia told investors it has $18 billion committed to equity investments for the rest of its fiscal year, Business Insider reports. The company’s private-company holdings reached $47.9 billion in late July, more than double the prior fiscal year-end figure.businessinsider.comIndustry
AWS and NVIDIA plan 2 million more GPUs for agentic and physical AI
AWS and NVIDIA say they plan to deploy 2 million additional NVIDIA GPUs across AWS infrastructure in 2027 and 2028 while expanding cooperation on CPUs, networking, open models, data processing and robotics.
nvidianews.nvidia.com
One useful briefing each week
Keep up with AI without living in the feed.
Get the week’s verified AI news, original data, useful tools, learning picks, and fresh AI jobs.
Reach people who are learning AI
Hiring an AI professional or launching a useful AI product? Put it in front of people who came here to learn and act.
Post an AI jobSubmit an AI tool