Image created with gemini-2.5-flash-image with claude-sonnet-4-5. Image prompt: A chess board made from a green circuit board with copper traces forming the squares, chess pieces crafted from silicon wafers and microchips with metallic details, knights have heat sink manes, rooks shaped like processor towers, dramatic side lighting on a technical workbench, photorealistic product photography style.
Anthropic, Google in Talks on Multibillion-Dollar Cloud Deal – Bloomberg https://www.bloomberg.com/news/articles/2025-10-21/anthropic-google-in-talks-on-cloud-deal-worth-tens-of-billions
Expanding our use of Google Cloud TPUs and Services \ Anthropic https://www.anthropic.com/news/expanding-our-use-of-google-cloud-tpus-and-services
Today, we announced that we plan to expand our use of Google TPUs, securing approximately one million TPUs and more than a gigawatt of capacity in 2026.”” / X https://x.com/AnthropicAI/status/1981460118354219180
The expansion, worth tens of billions of dollars, dramatically increases our compute resources as we push the boundaries of AI research and product development. Read more: https://x.com/AnthropicAI/status/1981460119742533848
Today in @Nature, we published a breakthrough demonstration of verifiable quantum advantage using a measurement known as out-of-time-order correlator (OTOC), or Quantum Echoes. Performed on our Willow chip, it paves a path toward real-world applications → https://x.com/GoogleQuantumAI/status/1981016219340648778
New breakthrough quantum algorithm published in @Nature today: Our Willow chip has achieved the first-ever verifiable quantum advantage. Willow ran the algorithm – which we’ve named Quantum Echoes – 13,000x faster than the best classical algorithm on one of the world’s fastest https://x.com/sundarpichai/status/1981013746698100811
The Quantum Echoes algorithm breakthrough https://blog.google/technology/research/quantum-echoes-willow-verifiable-quantum-advantage/
NVIDIA shows off its first Blackwell wafer manufactured in the US https://www.engadget.com/big-tech/nvidia-shows-off-its-first-blackwell-wafer-manufactured-in-the-us-192836249.html
🤖 NVIDIA’s Gr00t N1.5 is now available in LeRobot! This is the result of a great collaboration between the @huggingface LeRobot team and @NVIDIARobotics ! Gr00t N1.5 highlights: 🦾 Cross-embodiment foundation model for robots 🧠 Multimodal inputs: vision, language, and https://x.com/LeRobotHF/status/1981334159801929947
Jensen, in his Computex keynote earlier this year: “”Humanoid robot is likely the only robot that is likely to work, because technology needs scale.”” NVIDIA GTC DC is one week away. https://x.com/TheHumanoidHub/status/1980722742124245324
AI has a cost problem. The @GroqInc and @IBM partnership will solve this: watsonx agentic platform on Groq – 5x faster, at 20% of the cost. Also enabling @RedHat vLLM on Groq. Thanks to @JonathanRoss321 and @sundeep https://x.com/robdthomas/status/1980239227955683598
You can now use Bedrock AgentCore Memory with LlamaIndex Agents! Handle both long-term and short-term memory to give your agents the ability to recall important facts during long sessions, all managed by AWS infrastructure! Features: – secure storage – access control – built-in https://x.com/llama_index/status/1981752598698008725
Data, analytics, and machine learning tools for AWS | AWS Marketplace https://aws.amazon.com/marketplace/build-learn/data-analytics?trk=8e474a0d-cf17-4d67-a7ef-6b1fbf3b5721&sc_channel=el/2/0100019a07014b6b-1e5986f9-4ccc-4969-a88c-a8eaccc8e9d8-000000/VIMquG3NrJV8iFPZU7Y3dtXX6L76EC-qNXZ8m9v7__w=427
vLLM 🤝 @nvidia = open, scalable, agentic AI you can run anywhere. 🧵 Strengthening our partnership with @nvidia: vLLM serves the NVIDIA Nemotron family. This new blog https://x.com/vllm_project/status/1981553870599049286
Sourcebot (@sourcebot_dev) helps developers and AI agents understand massive codebases. It’s used daily by engineers at some of the largest companies in the world, including NVIDIA, Red Hat, and Arista Networks. Congrats on the launch, @msukkarieh1 & @bshizzle28! https://x.com/ycombinator/status/1978883886093602872
Alibaba Cloud claims to slash Nvidia GPU use by 82% with new pooling system | South China Morning Post https://www.scmp.com/business/article/3329450/alibaba-cloud-claims-slash-nvidia-gpu-use-82-new-pooling-system
We see the massive AWS outage. Baseten web app is down but inference, new deploys, training jobs, and the model management APIs are unaffected.”” / X https://x.com/basetenco/status/1980191414031138868
Data, analytics, and machine learning tools for AWS | AWS Marketplace https://aws.amazon.com/marketplace/build-learn/data-analytics?trk=8e474a0d-cf17-4d67-a7ef-6b1fbf3b5721&sc_channel=el
Amazon SREs can’t hear their pagers over the fireworks”” / X https://x.com/bilawalsidhu/status/1980341890747887861
We managed 99.97% of database operations successfully on US-East-1 throughout the outage. Mostly because we depend on a relatively short list of AWS services. We buy big metal instances from AWS relatively infrequently, and then handle all the tenant provisioning ourselves.”” / X https://x.com/nikitabase/status/1980399551883407787
I really hate how ignorant takes like this spread far and wide No, the AWS outage is not caused by AI – anyone who worked at places like Amazon will know how outages like this happened before AI, and it’s almost always a few unlucky + unforeseen things happening the same time.”” / X https://x.com/GergelyOrosz/status/1980381693136847258
We just launched Mojo🔥 GPU Puzzles Edition 1, a hands-on guide that teaches GPU programming through 34 progressive challenges, not lectures. Learn by doing, from your first GPU threads to tensor cores. Works on NVIDIA, AMD, and Apple GPUs. https://x.com/Modular/status/1981455872137318556
Modular now supports 7 major GPU architectures from 3 HW vendors ( https://x.com/clattner_llvm/status/1980321245314064467
You can now create dev environments from the UI, not just the CLI. Use any GPU on any cloud (or on-prem). It’s that simple: 1. Pick a GPU 2. Click Apply 3. Open in @code or @cursor_ai The environment automatically launches on your selected GPU in a configured cloud. https://x.com/dstackai/status/1980369241963741236
Performance Improvement: @IBMwatsonx on Groq is 5x faster Cost Reduction: Watsonx on Groq is 20% of the costs Red Hat vLLM Integration: Groq to enable @vllm_project @GroqInc 🤝 @IBM Great support and vision from @ArvindKrishna and @robdthomas https://x.com/sundeep/status/1980288298477125841
Modular brought up industry leading performance for @AMD MI355, and in just two weeks – record time. Read more of the details here if you’re curious. Beyond the flex, I want to share why I think this is meaningful for the industry👇”” / X https://x.com/clattner_llvm/status/1980320847475913112
Thinking Machines Lab unveiled Tinker, an API that lets developers fine-tune open-weights LLMs (Qwen3, Llama 3, more coming) as if on a single device. Meanwhile Tinker auto-handles multi-GPU scheduling, sharding, and crash recovery. Learn more: https://x.com/DeepLearningAI/status/1981752540405301452
📄New Guide LIVE: Running nanochat on instant clusters! Train and inference Andrej Karpathy’s end-to-end ChatGPT clone on Together’s on-demand GPU clusters — and learn how to: ⚪️Train nanochat ⚪️Nanochat inference ⚪️Iterate to see if you can speed up training! https://x.com/togethercompute/status/1981814480691761252
Solving virtual machine puzzles: How AI is optimizing cloud computing https://research.google/blog/solving-virtual-machine-puzzles-how-ai-is-optimizing-cloud-computing/
US chip plant investment to outpace China, Taiwan and South Korea from 2027 – Nikkei Asia https://asia.nikkei.com/business/tech/semiconductors/us-chip-plant-investment-to-outpace-china-taiwan-and-south-korea-from-2027
This week, Baseten’s model performance team unlocked the fastest TPS and TTFT for gpt-oss 120b on @nvidia hardware. When gpt-oss launched we sprinted to offer it at 450 TPS… now we’ve exceeded 650 TPS and 0.11 sec TTFT… and we’ll keep working to keep raising the bar. We are https://x.com/basetenco/status/1981757270053494806
We ran performance tests on release day firmware and an updated Ollama version to see how Ollama performs! @NVIDIAAIDev Let’s go spark! https://x.com/ollama/status/1981486870963114121
.@romeovdean and I wrote a blog post to teach ourselves about the AI buildout. We were surprised by some of the things we learned: 1. There’s a huge fab CapEx overhang – with a single year of earnings in 2025, Nvidia could cover the last 3 years of TSMC’s ENTIRE CapEx. In 2025, https://x.com/dwarkesh_sp/status/1981074799758921843
kvcached works directly with vLLM and you can use it to serve multiple models on the same GPU. They will share unused KV cache blocks. Check it out!”” / X https://x.com/vllm_project/status/1980776841129701411
Until recently, datacenters were able to simply repurpose the carcass left over from America’s deindustrialization. Honestly a compelling ode to capitalism. https://x.com/dwarkesh_sp/status/1981113646836306030
