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AI infrastructure and semiconductor technology

13 selected reportsIn the last 30 days 13 reportsIndexed 53 reports

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updated

Selected: NVIDIA

Oct 28WedItems 1–13
  1. BeInCrypto

    Anthropic's cash reserves exceed Nvidia and Apple combined ahead of IPO

    Anthropic's S-1 filing shows $131.7 billion in cash and short-term investments, surpassing the combined total of Nvidia and Apple. However, the company faces $587 billion in lease and spending obligations, covering only 22% of the total. Contracts signed after June 30 add roughly $245 billion in minimum payments, and obligations exceed cash by more than four times. Revenue growth or fresh capital will be needed to cover the gap through 2045.

    Read source beincrypto.com
Oct 23Fri
  1. NVIDIA BlogFirst-party

    Jensen Huang visits Kazakhstan, announces NVIDIA investment in Higgsfield AI

    During a visit to Astana, NVIDIA founder Jensen Huang met with President Tokayev and AI Minister Madiyev, discussing Kazakhstan's push to build domestic AI infrastructure. NVIDIA announced an investment in Kazakhstan-founded startup Higgsfield AI, with Huang emphasizing the importance of local data and energy resources for the nation's AI future. The conversation covered expanding accelerated computing and applying AI across Kazakhstan's economy.

    Read source blogs.nvidia.com
Oct 22Thu
  1. NVIDIA BlogFirst-party

    NVIDIA Unveils Minerva AIOps Platform for AI Factory Observability

    NVIDIA launched Minerva, an AIOps platform that aggregates telemetry from infrastructure and AI workloads to provide end-to-end observability for AI factories. The platform uses purpose-built AI models to detect anomalies, predict failures, and correlate events across GPUs, networking, and storage, enabling operators to identify root causes in large-scale clusters. It features a native AI assistant for natural-language troubleshooting and aims to maximize AI factory yield by reducing unplanned interruptions.

    Read source blogs.nvidia.com
  2. NVIDIA BlogFirst-party

    Call of Duty: Modern Warfare 4 hits GeForce NOW with RTX 5080-class ray tracing

    Call of Duty: Modern Warfare 4 arrived on GeForce NOW at launch, bringing its campaign, multiplayer and DMZ extraction mode to supported devices. Ultimate members can play the campaign with ray tracing, backed by newly added GeForce RTX 5080-class performance across PCs, Macs, handhelds, mobile devices, browsers and supported TVs. Existing supported Fire TV Stick users can now buy one-month Performance or Ultimate memberships directly through Amazon's billing system. Six games joined the library this week, including Square Enix's Final Fantasy Resonance and The Elder Scrolls Online's Echoes of Skyrim season, which adds the Greymoor chapter free for Standard Edition owners.

    Read source blogs.nvidia.com
  3. NVIDIA BlogFirst-party

    NVIDIA Cosmos Adds Training, Simulation and Data‑Factory Tools for World Models

    NVIDIA has expanded its Cosmos platform with new training utilities, simulation checkpoints and five cloud‑native blueprints in the Cosmos Data Factory. The updates support multimodal, multisensory data curation and synthetic data generation for autonomous vehicles, image augmentation, event video creation, defect imaging and weather‑variant video enhancement. Companies such as Porsche and ANYbotics are already using these blueprints on Azure to cut physical test drives by up to 90% and accelerate development cycles.

    Read source blogs.nvidia.com
  4. Hugging Face BlogFirst-party

    NVIDIA Introduces Kumo Relational, a Pre-trained Foundation Model for Enterprise Databases

    NVIDIA Kumo Relational is a pre-trained relational foundation model that makes predictions directly on enterprise databases without task-specific training. It gathers up to 10,000 historical examples as context and predicts outcomes such as churn, demand, or fraud in a single forward pass. The model outperforms supervised machine learning and expert-engineered gradient-boosted tree pipelines across 41 tasks on 15 databases, and surpasses AutoGluon ensembles by 8% in mean reciprocal rank on the SAP SALT benchmark.

    Read source huggingface.co
Oct 21Wed
  1. NVIDIA BlogFirst-party

    Google Cloud and NVIDIA launch NVIDIA Vera Rubin infrastructure in general availability

    Google Cloud and NVIDIA announced general availability of NVIDIA Vera Rubin infrastructure next month, bringing an integrated platform for training, inference, and large-scale reinforcement learning to cloud customers. The A5X instances combine NVIDIA Vera Rubin NVL72, ConnectX-9 SuperNICs, and Google Cloud's fourth-generation liquid-cooling technology to support demanding agentic workloads at scale.

    Read source blogs.nvidia.com
Oct 20Tue
  1. AWS Machine Learning BlogFirst-party

    Deepgram Boosts Speech‑to‑Text Efficiency 11‑70% Using AWS Trainium2

    Deepgram ported its Nova‑3 speech‑to‑text model to AWS Trainium2, deploying eight replicas on a single trn2.3xlarge EC2 instance. The optimized configuration processed 11–70 % more audio per dollar on batch transcription workloads compared to previous compute options. The team used TorchNeuron for native PyTorch integration, performed kernel‑level tuning, and built a Rust‑based data‑parallel runtime to eliminate Python overhead. These gains enable Deepgram to serve more audio for the same infrastructure budget and lower costs for customers who self‑host on SageMaker AI.

    Read source aws.amazon.com
Oct 15Thu
Oct 9Fri
  1. NVIDIA BlogFirst-party

    NVIDIA Astra AI agents combine with Omniverse libraries to help developers build simulation applications

    NVIDIA Astra AI agents integrated with Omniverse libraries allow developers to build simulation applications using natural-language instructions. Developers can use Astra to generate editable building models from site scans and test gas turbine operating scenarios through digital twins, enabling what-if analysis of load changes and equipment faults.

    Read source blogs.nvidia.com
Oct 8Thu
  1. NVIDIA BlogFirst-party

    NVIDIA and Microsoft Launch RTX Spark for Windows PCs, Introducing AI Agents

    NVIDIA and Microsoft have announced the co-engineering of hardware and software for AI agents on Windows PCs, with NVIDIA's RTX Spark laptops and compact desktops offering full AI capabilities. The collaboration aims to bring local AI closer to everyday work, revolutionizing how agents are built and deployed.

    Read source blogs.nvidia.com