NVIDIA’s February 17, 2026 update outlines a broad manufacturing AI push in India involving Dassault Systemes, Siemens, Cadence, and Ansys. The company links digital twins and accelerated simulation to national manufacturing goals and cites projections that industrial software could contribute over $134 billion to India’s GDP by 2030.
NVIDIA’s February 17, 2026 post says major India-based systems integrators are deploying enterprise AI agents on NVIDIA infrastructure. The update cites concrete implementations from Wipro, Infosys, TCS, Tech Mahindra, and Accenture, alongside IDC’s forecast that India AI/GenAI spending will top $9.2 billion by 2028.
NVIDIA’s February 18, 2026 update outlines how it is supporting IndiaAI Mission priorities through GPU infrastructure expansion, sovereign model development, and research/startup programs. The post ties government policy goals to specific cloud, model, and financing collaborations.
NVIDIA announced on February 17, 2026 that Meta is scaling AI infrastructure using GB300 NVL72 systems, RTX PRO servers, Spectrum-X Ethernet, and Mission Control software. The move extends Meta’s large Hopper footprint into a broader Blackwell-era operations model.
NVIDIA’s February 16, 2026 update cites SemiAnalysis InferenceX data indicating major efficiency gains for GB300 NVL72 versus Hopper in agentic AI inference. The company also said Microsoft, CoreWeave, and OCI are deploying GB300 NVL72 for low-latency and long-context workloads.
NVIDIA and CoreWeave announced an expanded partnership targeting more than 5 gigawatts of AI factories by 2030. NVIDIA also disclosed a $2 billion investment in CoreWeave Class A shares at $87.20 per share.
A February 13, 2026 post in r/LocalLLaMA highlighted NVIDIA Dynamic Memory Sparsification (DMS), claiming up to 8x KV cache memory savings without accuracy loss. Community discussion centered on inference cost, throughput, and what needs verification from primary technical sources.
NVIDIA unveiled its next-gen AI platform Rubin, delivering 10x reduction in inference token cost and 4x fewer GPUs for MoE model training vs. Blackwell. Launch planned for H2 2026.
AI video startup Runway closed a $315M round led by General Atlantic, raising its valuation to $5.3B. The company is expanding beyond video generation with its GWM-1 world model for 3D simulation.
NVIDIA unveiled its next-generation AI platform Vera Rubin at CES 2026, reducing GPUs needed for MoE model training by 4x and slashing inference token costs by 10x, with availability in H2 2026.
NVIDIA announced the Rubin platform at CES 2026 in January. Comprising six new chips, the Vera Rubin superchip delivers 5x improved inference performance over GB200. Major AI companies including OpenAI, Meta, and Microsoft plan to adopt it.