Multiverse Computing Unveils Techniques to Cut LLM Knowledge Distillation Costs
Caching teacher model logits and a memory-efficient KL loss enable long-context distillation on a single GPU
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NVIDIA
A company that makes the chips that power AI. Rather than a competitor in the chatbot race, it's the one selling picks and shovels to everyone in it. Its flagship products are GPUs and the AI infrastructure software built on top of them. In August 2026, it began officially supporting its cloud gaming service GeForce NOW on Linux, and around the same time, it published a method for isolating Kubernetes tenants on shared GPUs. In autonomous driving, it introduced a 34-billion-parameter reasoning model, and in robot policy learning, it presented a video-based learning approach. It also tried to expand the AI ecosystem for handling the physical world through its open world model 'Cosmos 3'.
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NVIDIA · Related stories
DeepSeek v4 Flash 0731 run locally with RTX 4090 and Tesla P40 combo
Adding two GPUs to 128GB of DDR4 yields 176GB total, with 2–3 tokens per second depending on quantization
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NVIDIA joins US NSF regional AI hub program
Backing AI computing and workforce training for university and regional consortia — expanding the University of Florida model nationwide
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NVIDIA Releases Open Model 'Alpamayo 2 Super' for Robotaxis Under Commercial License
Fully open under OpenMDW license, tops LingoQA benchmark
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NVIDIA Unveils NOOA, a Framework That Builds Agents as Python Classes
Research preview argues harness design determines benchmark performance, released as open source
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NVIDIA unveils 'Ising Calibration 1.5' VLM for automated quantum computer calibration
31B-parameter vision-language model interprets qubit diagnostic results to automatically generate calibration values
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NVIDIA Details How to Build Fully Isolated K8s Tenants on Shared GPUs
Combining KAI Scheduler and vCluster lets multiple teams use a single GPU as if it were their own independent cluster
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Open Secure AI Alliance Proposes SAFE Guidelines
Coalition of over 120 organizations releases draft framework for sharing agentic AI security incidents
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NVIDIA Unveils 34B-Parameter Reasoning Model for Autonomous Driving
Alpamayo 2 Super unifies trajectory generation, reasoning, and auto-labeling into a single model
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NVIDIA proposes robot policy trained on video instead of vision-language models
Cosmos 3-based World Action Model suggested as a replacement for VLA robot policy architecture
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Firebird Opens AI Factory in Armenia
Firebird, backed by investments from NVIDIA and CoreWeave, has opened an AI factory in Hrazdan, Armenia. The company plans to deploy more than 70,000 NVIDIA Rubin and Blackwell GPUs and build out 300 megawatts of infrastructure capacity by the end of 2027.
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NVIDIA shares guide on running local AI by chaining multiple DGX Spark units
NVIDIA AI's official account shared a guide for running local AI by chaining DGX Spark units
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NVIDIA · Recent announcements
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- 64410 million downloads for NVIDIA Warp
- 460Already running an inference engine? So where does NVIDIA Dynamo fit in?
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- 9nvidia/DeepSeek-V4-Pro-0813-NVFP4 · text-generation
- 2nvidia/Muse-Glimmer-30B-NVFP4 · image-text-to-text
- –NVIDIA and CrowdStrike Strengthen Agentic Cybersecurity Frontier
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- –Delivering Vera: NVIDIA’s First CPU Built for Agents Is Shipping Now
- –NVIDIA NVLink Fusion Expands With NVHBM Custom High-Bandwidth Memory