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Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
The Essential Cloud for AI: Why Purpose-Built Defines the...
janandonly · 2026-05-25 · via Hacker News - Newest: "AI"

At CoreWeave, our mission is simple: to power the creation and delivery of the intelligence that will drive the next wave of innovation. From breakthrough labs like OpenAI to enterprise pioneers like IBM, we are enabling the creators redefining what’s possible and helping them move from idea to impact faster, smarter, and at scale. Whether they’re training the next paradigm-shifting model or scaling open-source systems across industries, they all need one thing: a cloud built expressly for AI. A cloud that lets them do their hardest and most complex work while helping them seize the incredible opportunities of AI, without the delays, limitations, hidden costs, and bottlenecks of traditional clouds and legacy infrastructure.

From general-purpose to purpose-built: The new foundation for AI

The first generation of cloud closed the gap between compute and accessibility. General-purpose clouds made it possible for anyone to build and scale an idea from a laptop to the world. They built the building blocks that every modern digital business still relies on. For years, that model worked beautifully. But when AI arrived, we all tried to stretch those same systems to meet a completely different kind of demand built around GPUs, massive parallelism, and constant data movement. That’s when things started to break.

Drawing on our experience running some of the largest GPU clusters for the most demanding organizations, we realized a new approach was needed. Not a patch or a retrofit, but a foundation built specifically for AI, one that could handle the scale, complexity, and speed this new era demands. That foundation became CoreWeave Cloud where every part of the stack has to work together: the infrastructure, the data, the orchestration, tools and the people who understand how to run it all.

Purpose-built for AI: defining the AI Cloud

As the first cloud built from the ground up to accelerate AI breakthroughs, every element of the CoreWeave Cloud is optimized for AI. An AI cloud is designed to support the full lifecycle of AI: training, inference, data movement, and continuous iteration, making it fundamentally different from general-purpose cloud computing.

CoreWeave is the Essential Cloud for AI that accelerates the breakthroughs of today and those yet to be discovered. Our AI-native platform of technology, tools, and teams is fully integrated and purpose-built to power pioneers’ most complex AI workloads: CoreWeave is the #1 AI Cloud platform built for pioneers, by pioneers, to deliver:

Unmatched Pace: creates velocity that compounds—giving you faster iteration, faster time to market when training and deploying AI workloads across thousands of GPUs.

Maximum Performance: Powers the most demanding training workloads, fine-tuning, and high throughput inference. From low-latency agent orchestration to deep observability, we deliver superior efficiency and reliability.

Transformative Partnership: Provides deep consultative expertise and direct-to-expert technical support to optimize seamless operations. Gives your team the freedom to build AI solutions without limits.

The CoreWeave Cloud

Our stack is tuned from top-to-bottom for the most demanding AI workloads. Whether for training, inference, or specialized workloads like scientific computing, video rendering, or unlocking the vast potential of AI in industries which historically have lagged behind in AI adoption.

The CoreWeave Cloud platform: #1 AI Cloud

CoreWeave Cloud is purpose-built for the AI era, delivering performance through a vertically-integrated platform that unites compute, storage, orchestration, and intelligence into one optimized system. Its foundational infrastructure combines high-bandwidth, low-latency networking (InfiniBand, RoCE, and proprietary interconnects) with the latest GPUs delivering microsecond-latency performance recognized by SemiAnalysis’s only Platinum ClusterMAX rating.

Data and storage technologies like CoreWeave AI Object Storage and Local Object Transport Accelerator (LOTA) feed GPUs at up to 7 GiB/s per GPU, scaling linearly and enabling continuous model training without egress fees. Infrastructure Control brings together Kubernetes and SLURM, with CoreWeave’s implementation, SUNK (SLURM on Kubernetes), unifying both environments. This approach gives teams flexible scheduling, rapid spin-up times, and real-time visibility across diverse AI workloads.

To serve AI developers working on the latest agentic applications, AIOps and Agent Development integrate Weights & Biases and OpenPipe to accelerate experimentation, fine-tuning, and reinforcement learning at scale, bridging model development and production deployment seamlessly. Mission Control connects it all, providing end-to-end visibility, governance, and orchestration across the stack, ensuring every layer operates in harmony to deliver unmatched reliability, transparency, and speed for the world’s most ambitious AI workloads

There’s more ahead for the Essential Cloud for AI and the pioneers we serve.

Together with our customers, we’re not just keeping up with the future of AI, we’re collectively defining it.

Want to learn more about CoreWeave Cloud? Download the whitepaper now.