Chips and Hardware: AI News Week Ending 04/24/2026

Image created with gemini-3.1-flash-image-preview with claude-opus-4.7. Image prompt: Using the provided reference image, preserve exactly the pure white background, landscape aspect ratio, vertical type hierarchy, and galaxy-punchout starfield treatment clipped inside all-caps letterforms, but replace ‘HEROES’ with ‘CHIPS’ in the same bold condensed grotesque, replace ‘ALESSO’ with ‘SILICON SUBLIME’ in the same light geometric all-caps, and replace ‘TOVE LO’ with ‘3NM LITHOGRAPHY’ in the same condensed grotesque, keeping ‘(we could be)’ and ‘FEATURING.’ unchanged with identical tracking, weights, and Milky Way texture across all type.

Anthropic and Amazon expand collaboration for up to 5 gigawatts of new compute \ Anthropic
https://www.anthropic.com/news/anthropic-amazon-compute

We’re expanding our collaboration with Amazon to secure up to 5 gigawatts of compute for training and deploying Claude. Capacity begins coming online this quarter, with nearly 1 gigawatt expected by the end of 2026.
https://x.com/AnthropicAI/status/2046327624092487688

Anthropic is coming after Figma.
https://x.com/Yuchenj_UW/status/2045158071950033063

Anthropic making a Lovable/Bolt/v0/Figma Make clone and calling it Design is peak Anthropic.
https://x.com/skirano/status/2045192705941106992

Introducing Claude Design by Anthropic Labs \ Anthropic
https://www.anthropic.com/news/claude-design-anthropic-labs

# The Path Forward for AI Startups A lot of founders are messaging each other after the SpaceXAI <> Cursor “IPO-deferred acquisition”. Common discussion topic: what is the future for independent startups? Must ~everyone ultimately be acquired by a frontier lab or go extinct?
https://x.com/russelljkaplan/status/2047077659985981616

Better AI models enable more ambitious work · Cursor
https://cursor.com/blog/better-models-ambitious-work

Sources: Cursor in talks to raise $2B+ at $50B valuation as enterprise growth surges | TechCrunch

Sources: Cursor in talks to raise $2B+ at $50B valuation as enterprise growth surges

SpaceX and Cursor Have Explored an AI Team-up With Mistral – Business Insider
https://www.businessinsider.com/elon-musk-xai-explored-collaborating-with-mistral-cursor-2026-4

SpaceXAI and @cursor_ai are now working closely together to create the world’s best coding and knowledge work AI. The combination of Cursor’s leading product and distribution to expert software engineers with SpaceX’s million H100 equivalent Colossus training supercomputer will
https://x.com/SpaceX/status/2046713419978453374

The structure of the deal is pretty interesting here. I think what’s happening is: 1. xAI is having trouble training a SOTA coding model (hence cofounder departures), bunch of idle GPUs 2. Cursor doesn’t have capital to blow on a $5B training run to compete with Codex/Claude 3.
https://x.com/0xrwu/status/2046721359263285478

Google also said they can now scale to a million TPUs within a single cluster with TPU8t
https://x.com/scaling01/status/2046981511753130461

Introducing Gemini Enterprise Agent Platform | Google Cloud Blog
https://cloud.google.com/blog/products/ai-machine-learning/introducing-gemini-enterprise-agent-platform/

The conversation around AI agents is no longer about how to build them — it’s about how to manage thousands of them. Today we’re introducing Gemini Enterprise Agent Platform, a new way to build, scale, govern and optimize agents. It combines the models and services you’re
https://x.com/Google/status/2046985650868547851

We’re launching Gemini Enterprise Agent Platform with @GoogleCloud: a platform for businesses to develop, scale, govern and optimize agents. It’s the evolution of Vertex AI, bringing together model selection and agent building with new features for integration, security and
https://x.com/GoogleDeepMind/status/2046983340524269713

We’re making it easier for organizations to scale up autonomous agents with the Agentic Data Cloud. This AI-native architecture closes the gap between thinking and doing through: – A universal context engine that gives your agents a grounded source of truth about your business
https://x.com/Google/status/2046997032649277754

We’re delivering agentic defense by combining Google’s Threat Intelligence and Security Operations with @wiz_io’s Cloud and AI Security Platform to detect, prevent and respond to threats. Security agents provide protection for your entire AI development lifecycle.
https://x.com/Google/status/2047000216188940710

Since I began work on AI in 2010, training compute for frontier models has grown by one trillion times. Now we’re looking at something like another thousand-fold growth in effective compute by the end of 2028. 1000x the existing 1,000,000,000,000x. Extraordinary stuff.
https://x.com/mustafasuleyman/status/2046989133676257284

I asked Jensen, why don’t you just become a hyperscaler yourself (rather than funding different neoclouds)?
https://x.com/dwarkesh_sp/status/2044868433381073000

Jensen on the famous story about Larry Ellison and Elon Musk begging him for GPUs over dinner: “”That never happened. We absolutely had dinner, and it was a wonderful dinner. At no time did they beg for GPUs. They just had to place an order.”” Jensen says Nvidia’s allocation
https://x.com/dwarkesh_sp/status/2044989230112506351

Nvidia has locked up many years of scarce components – almost a hundred billion dollars in purchase commitments. Is this Nvidia’s big moat? A competitor might design a great accelerator, but they don’t have Jensen’s LTAs with SK Hynix, TSMC, etc. Jensen: “If our next several
https://x.com/dwarkesh_sp/status/2044808033411223559

The most viral moment of the @dwarkesh_sp x Jensen Huang conversation was widely misunderstood It wasn’t really just about China, TPUs, or even Nvidia’s moat. It was about a much deeper disagreement over what it means for America to “”win”” in AI
https://x.com/TheTuringPost/status/2046366547619270665

Also, somehow everyone missed that Jensen Huang all but called Dario Amodei’s mindset a loser’s mindset
https://x.com/TheTuringPost/status/2046585887400604116

In 2025, OpenAI announced Stargate, a $500 billion data center initiative. We surveyed all 7 US sites and found visible development at each. There’s a long road ahead, but the project appears on track to reach 9+ GW by 2029–comparable to New York City’s peak power demand. 🧵
https://x.com/EpochAIResearch/status/2045258390147088764

OpenAI Stargate: where the US sites stand
https://epochai.substack.com/p/openai-stargate-where-the-us-sites

“24 GPUs to track the entire curve of the 1px wide weapons at 60fps in realtime” — utterly ridiculously cool!
https://x.com/bilawalsidhu/status/2046329544336875931

Anker made its own chip to bring AI to all its products | The Verge
https://www.theverge.com/tech/916463/anker-thus-chip-announcement

Cloud Storage for AI and Machine Learning | Backblaze
https://www.backblaze.com/cloud-storage/industries/ai-ml

GPT-5.5 was trained on a 100k GB200 cluster probably the Stargate in Abilene Texas with 2 out of 8 completed buildings and ~112k operational GPUs
https://x.com/scaling01/status/2047425178724921618?s=46

The AI Pipeline Starts with Storage: Architecting Scalable Data Foundations
https://www.brighttalk.com/webcast/14807/650934

We worked in close collaboration w/ @PyTorch & TorchAO teams to make offloading work with fancy quants 🔥 Consumer GPU users can now benefit from the goodness of modern quants like FP8, NVFP4, while keeping memory at bay 🤗 AND you don’t have to give away latency! 📝 in ⬇️
https://x.com/RisingSayak/status/2045114073000657316

Stargate is a step towards meeting the demand of the compute-powered economy
https://x.com/gdb/status/2045279841482928271

Google in talks with Marvell Technology to build new AI inference chips alongside Broadcom TPU programme
https://thenextweb.com/news/google-marvell-ai-chips-inference-tpu-broadcom

Google in Talks With Marvell to Build New AI Chips for Inference — The Information
https://www.theinformation.com/articles/google-talks-marvell-build-new-ai-chips-inference

TPU 8t, optimized for training and TPU 8i, optimized for inference. Looking good!
https://x.com/sundarpichai/status/2046981627184902378

TPU’s are a core part of the Google secret sauce, excited to see our 8th generation TPU see the light of day : )
https://x.com/OfficialLoganK/status/2046998392434508143

We’re introducing our eighth generation of TPUs. This time, we’re taking a dual chip approach: TPU 8t, optimized for training, and TPU 8i, optimized for inference. 💪TPU 8t achieves nearly three times the compute performance per pod over our previous generation, Ironwood. ⚡TPU
https://x.com/Google/status/2046993420841865508

AI Infrastructure: Cloud TPUs | Google Skills
https://www.skills.google/paths/2806/course_templates/1405

At #googlecloudnext today, we are introducing Workspace Intelligence Today’s digital workflows are information-rich but context-poor; project details live in Docs, trackers in Sheets, decisions are tucked in meeting notes, and updates are scattered across emails and chats.
https://x.com/ChanduThota/status/2046946043078848788

Last fall, we launched Gemini Enterprise as a front door to AI in the workplace, enabling every customer and employee to use cutting-edge AI agents. Today at #GoogleCloudNext, we announced new features, including: – A new inbox in Gemini Enterprise to manage, monitor and act
https://x.com/Google/status/2046988686433108417

ReasoningBank, a novel agent memory framework, enables LLM agents to continuously learn from both successful & failed experiences. Our evaluation shows that it enhances agent effectiveness, boosting success rates and efficiency. Learn more:
https://x.com/GoogleResearch/status/2046631948437921801

TPU 8t and TPU 8i technical deep dive | Google Cloud Blog
https://cloud.google.com/blog/products/compute/tpu-8t-and-tpu-8i-technical-deep-dive

🚀SonicMoE🚀now runs at peak throughput on NVIDIA Blackwell GPUs 😃 54% & 35% higher fwd/bwd TFLOPS than the DeepGEMM baseline and 21% higher fwd TFLOPS than the triton official example. SonicMoE still maintains its minimum activation memory footprint: the same as a dense model
https://x.com/WentaoGuo7/status/2047007230847766951

NVIDIA Isaac GR00T N1.7 early-access is here – Open, commercially licensed 3B-parameter VLA model for humanoid robots – Action Cascade architecture (VLM reasoning + DiT motor control) – Trained on 20k+ hours of human egocentric video – Boosts dexterous finger-level manipulation
https://x.com/TheHumanoidHub/status/2045235958451421378

Nvidia backs AI company Vast Data at $30 billion valuation
https://www.cnbc.com/2026/04/22/nvidia-backs-ai-company-vast-data.html

Building a Fast Multilingual OCR Model with Synthetic Data
https://huggingface.co/blog/nvidia/nemotron-ocr-v2

What I learned this week: – Pretraining parallelisms – Can distillation be stopped – Mythos and the cybersecurity equilibrium – Pipeline RL – On why pretraining runs fails At the end of my conversation with @michael_nielsen, we talked about how to actually retain what you
https://x.com/dwarkesh_sp/status/2044793688279371982

Transformers are not the end game. AI still needs a breakthrough I talked to @FidlerSanja, VP of AI Research at NVIDIA, leading company’s Spatial Intelligence Lab, and she explains why ↓ And you should definitely watch our full conversation to understand where AI is heading
https://x.com/TheTuringPost/status/2046016440529248431

GPT-5.5 was designed for and trained on Nvidia GB200/300 The model itself helped in the deployment and improvement of the inference stack
https://x.com/scaling01/status/2047377992016384068

Holy crap, NVIDIA just made it drastically easier to create large scale explorable 3d worlds. No manual stitching of smaller 3d generations like other 3d models. Lyra 2.0 looks pretty damn impressive.
https://x.com/bilawalsidhu/status/2044681790195912972