DigestAI news desk
OpenAI board member warns company is not on track to prevent catastrophic AI loss of control OpenAI launches Agents API beta for long-running cloud agents OpenAI Unveils GPT‑6 Astra: Record‑Breaking 3D Rendering, Loop‑Transformer Architecture OpenAI solves Navier-Stokes problem, sparking academic controversy over data use OpenAI Introduces ChatGPT for Financial Services Anthropic releases 150-page report on global Claude misuse and distillation RTK Token Savings Debunked: Cost Benchmarks Disagree The Waymo effect: AI making research less collaborative
Developing story · 8 episodes · 9 Sept to 11 Sept

Nvidia's 70% Revenue Growth Outlook Explained by Jensen Huang

This article highlights the future outlook of Nvidia's AI dominance and growth, which is crucial for the AI industry and the public's understanding of the company's position.

  1. NVIDIA Deploys Palantir Foundry and cuOpt to Automate Hardware Supply Chain

    NVIDIA has built an automated supply chain management system to orchestrate hardware allocation from semiconductor fabrication to data center deployment. Operating under the "Digital Supply Chain…

    1 source
  2. ggml-org updates llama.cpp with Flash Attention tuning for AMD gfx1201

    The ggml‑org repository for the popular LLaMA inference engine has merged a pull request that adds Flash‑Attention tuning for the AMD gfx1201 GPU architecture. The change, authored by contributor…

    1 source primary source
  3. Nvidia's 70% Revenue Growth Outlook Explained by Jensen Huang

    Nvidia's CEO, Jensen Huang, at the Goldman Sachs Communacopia + Technology conference explained why his company’s AI dominance and revenues will continue to grow at an astounding 70% next year.…

    1 source
  4. Skild AI launches S1 foundation model that learns robot tasks from a single video

    Skild AI unveiled its S1 robot foundation model, which can pick up previously unseen, long‑horizon tasks from just one video demonstration. Built on NVIDIA’s AI infrastructure, the model uses…

    1 source primary source
  5. NVIDIA’s robotaxi stack powers global driverless fleets

    NVIDIA’s end‑to‑end platform is now the backbone of every large‑scale robotaxi operation, handling AI model training, massive simulation, and in‑vehicle compute. The three‑computer architecture—DGX…

    1 source primary source
  6. d-Matrix adopts NVIDIA NVLink Fusion to connect Raptor XPUs to MGX rack platform

    d‑Matrix, a specialist in AI inference silicon, announced that its upcoming Raptor XPU family will be linked to NVIDIA’s AI infrastructure via NVLink Fusion. The move ties the custom XPUs into…

    1 source primary source
  7. 3.8B LLM Trained to 0.384 CORE Score for Under $1,000 Using Consumer GPUs

    A solo researcher demonstrated that a 3.8 billion‑parameter language model can reach a 0.384 CORE benchmark score after processing 65 billion tokens, all for just $998 in cloud compute. The training…

    1 source HN 112
  8. NVIDIA Unveils AI‑Powered Media Suite at IBC 2026

    At IBC 2026 in Amsterdam, NVIDIA announced an expansion of its AI for Media suite, adding GPU‑accelerated SDKs, NIM microservices, and playbooks that enhance broadcast, sports, and streaming…

    1 source primary source
Who and what