Browsing Tag
NVIDIA
18 posts
NVIDIA chips, software, AI infrastructure, and developer platforms.
NVIDIA Rubin Pushes AI Data Centers Toward Hotter, Drier Cooling
NVIDIA says its Rubin-generation AI infrastructure can run fully liquid-cooled servers with 45°C coolant, cutting facility cooling water use from conventional tower-based levels to near zero in favorable climates. The design is a real shift for AI factories, but it does not erase the water tied to power generation, chip manufacturing, or local data center siting fights.
Groq’s $650M Raise Makes AI Inference the New Cloud Fight
Groq raised $650 million to expand its AI inference cloud, with 13 data centers, more than five million developers, NVIDIA LPX integration, and a 200 MW capacity target by the end of 2027. The deal shows why serving AI models is becoming its own infrastructure market, separate from the training race.
NVIDIA Halos Turns Robot Safety Into a Full-Stack AI Platform
NVIDIA Halos for Robotics gives robot makers a shared safety stack for physical AI, combining IGX Thor compute, Halos OS, sensor infrastructure, outside-in safety agents, and an inspection lab for certification. Agility Robotics is the first public adopter, bringing parts of the system into Digit humanoid deployments for factories, warehouses, and logistics operations.
Amazon’s Trainium Talks Push AWS Chips Beyond the Cloud
AWS is in early talks to sell Trainium AI chips for use in other companies’ data centers, a shift that could move Amazon from cloud-only accelerator provider toward a more direct role in the AI chip market. The opportunity is real, but so are the constraints: Trainium capacity is already tight, Nvidia still owns the broadest software ecosystem, and selling racks outside AWS could weaken the cloud bundle that makes custom silicon so valuable to Amazon.
HPE Turns Juniper Into the Network Layer for AI Factories
HPE used Discover 2026 to fold Juniper deeper into its AI data center strategy, adding QFX switches for inference and AMD Helios, Mist and Marvis AIOps updates, and SASE controls for self-driving networks.
MLPerf Training 6.0 Makes AI Infrastructure a Sparse-Model Race
MLCommons released MLPerf Training 6.0 with new DeepSeek V3 and GPT-OSS 20B benchmarks, while NVIDIA, AMD, and cloud providers used the round to show how AI training is moving toward sparse models, rack-scale systems, and verified cloud capacity.
NEURA’s $1.4B Raise Turns Humanoid Robots Into an AI Infrastructure Race
NEURA Robotics raised up to $1.4 billion from backers including NVIDIA, Amazon, Qualcomm, Bosch, Schaeffler, Tether, and the European Investment Bank. The funding makes humanoid robots look less like a gadget race and more like an infrastructure contest around training data, edge AI, manufacturing, and deployment.
Apple’s Private Cloud Compute Goes Multi-Cloud With Google and NVIDIA
Apple is extending Private Cloud Compute to Google Cloud with NVIDIA GPUs, making confidential inference, attestation, and public verification central to its AI privacy claim.