NVIDIA AI Releases Star Elastic: One Checkpoint that Contains 30B, 23B, and 12B Reasoning Models with Zero-Shot Slicing

NVlabs releases cuda-oxide v0.1.0, a custom rustc codegen backend that compiles #[kernel]-annotated Rust functions to PTX through a Rust → Stable MIR → Pliron IR → LLVM IR → PTX pipeline, with single-source host+device compilation from one cargo oxide build command. The post NVIDIA AI Just Released cuda-oxide: An Experimental Rust-to-CUDA Compiler Backend that Compiles SIMT GPU Kernels Directly to PTX appeared first on MarkTechPost.

Nvidia continues to be a big investor in the AI ecosystem.

Nvidia gains rights to invest up to $2.1 billion in IREN as companies race to lock down massive AI compute capacity.

AI will help build the energy it needs. That’s the case U.S. Energy Secretary Chris Wright and NVIDIA Vice President of Hyperscale and High-Performance Computing Ian Buck made Thursday morning at the SCSP AI+ Expo. The 30-minute fireside chat, moderated by SCSP president Ylli Bajraktari, was called “Powering the Next American Century.” Their argument: American […]

SANTA CLARA, Calif. and CORNING, N.Y., May 7, 2026 — NVIDIA and Corning Incorporated have announced a multiyear commercial and technology partnership to dramatically expand U.S.-based manufacturing of the advanced optical […] The post NVIDIA and Corning Announce Long-Term Partnership to Strengthen US Manufacturing for AI Infrastructure appeared first on AIwire.

MRC (Multipath Reliable Connection) is a new open networking protocol developed by OpenAI in partnership with AMD, Broadcom, Intel, Microsoft, and NVIDIA that improves GPU networking performance and resilience in large-scale AI training clusters by spreading packets across hundreds of paths simultaneously, recovering from network failures in microseconds, and enabling supercomputers with over 100,000 GPUs to be built using only two tiers of Ethernet switches. The post OpenAI Introduces MRC (Multipath Reliable Connection): A New Open Networking Protocol for Large-Scale AI Supercomputer Training Clusters appeared first on MarkTechPost.

The companies will build optical fiber manufacturing plants to meet growing industry demand.

Akhil Docca, head of robotics product marketing at Nvidia, on how the vendor is looking to accelerate physical AI adoption.