Human2Any: Human-to-Robot Transfer via Constraint-Aware Compositional Planning
Human2Any: Human-to-Robot Transfer via Constraint-Aware Compositional Planning cgarrett Tue, 09/15/2026 - 21:41
NVIDIA Research1 min read
NVIDIA
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Infleqtion And Nvidia Reduce Physical-to-Logical Qubit Ratio in Quantum Computers
A lot of advancements are being made in quantum computing that move beyond the basics of quantum pro ...
Next Platform6 min readPlaying both sides of the U.S.-China AI “Cold War”
From Latin America to Southeast Asia, countries are dividing their AI investments between the two superpowers rather than choosing one over the other.
Rest of World6 min readFrom Megawatts to Tokens: How NVIDIA Maximizes AI Factory Production
On a sweltering August evening in Silicon Valley, as the sun dropped and air conditioning loads spiked, Silicon Valley Power sent a signal to an AI factory to adjust its power consumption.
NVIDIA AI Blog6 min readAI Infra Summit: NVIDIA Vera Rubin and DSX Platform Advancements Showcase Energy Efficiencies of Optimizing Tokens Per Watt for AI Factories
Ian Buck, vice president of hyperscale and high-performance computing at NVIDIA, Tuesday spoke on AI factory efficiency at the AI Infra Summit, the Santa Clara Convention Center event that has morphed into a Coachella of infrastructure tech.
NVIDIA AI Blog9 min readHeart of the Matter: How a Major Children’s Hospital Uses Open Source NVIDIA AI for Cardiac Care
Children’s Hospital of Philadelphia is using open source AI tools to model children’s hearts in seconds — with the goal of enabling safer, more precise care for kids with congenital heart disease.
NVIDIA AI Blog6 min readHow NVIDIA NVLink 6 Delivers Multi-Layer Resiliency for AI Factories
For operators of large-scale AI factories, maximizing continuous output is essential for productivity. In massive-scale AI training, every GPU in the cluster...
NVIDIA Developer Blog9 min readScaling Federated Learning Across Docker, Kubernetes, and Slurm with NVIDIA FLARE
Federated learning (FL) projects often begin with a straightforward setup: one server, a few clients, and one dataset at each site. As those projects grow, the...
NVIDIA Developer Blog8 min readShareMMU: Supporting Secure Address Translation Sharing among Untrusted Accelerators
ShareMMU: Supporting Secure Address Translation Sharing among Untrusted Accelerators The growing demand for accelerated computing is driving widespread deployment of multi-accelerator systems in the cloud and at the edge.
NVIDIA Research2 min readOperationalize AI At Scale With HPE And Nvidia
SPONSORED POST: While many organizations have AI projects underway at various stages of maturit ...
Next Platform2 min readFastGen-PDD: Parallel Decoding Distillation for Image and Video Generation
FastGen-PDD: Parallel Decoding Distillation for Image and Video Generation Generation in video diffusion or flow models is computationally expensive due to the slow and iterative sampling process.
NVIDIA Research1 min readComposing Detector Error Models
Composing Detector Error Models Fault-tolerant quantum programs thread together reusable logical operations, yet correcting errors requires comparing measurements across operation boundaries. Correlations tie each operation's error analysis to the computation around it.
NVIDIA Research1 min readReasAlign: Reasoning Enhanced Safety Alignment against Prompt Injection Attack
ReasAlign: Reasoning Enhanced Safety Alignment against Prompt Injection Attack Large Language Models (LLMs) have enabled the development of powerful agentic systems capable of automating complex workflows across various fields.
NVIDIA Research2 min readReasoningBomb: A Stealthy Denial-of-Service Attack by Inducing Pathologically Long Reasoning in Large Reasoning Models
ReasoningBomb: A Stealthy Denial-of-Service Attack by Inducing Pathologically Long Reasoning in Large Reasoning Models Large reasoning models (LRMs) extend large language models with explicit multi-step reasoning traces, but this capability introduces a new class of prompt-induced inference-time…
NVIDIA Research2 min readArchitecting Secure AI Agents: Perspectives on System-Level Defenses Against Indirect Prompt Injection Attacks
Architecting Secure AI Agents: Perspectives on System-Level Defenses Against Indirect Prompt Injection Attacks AI agents, predominantly powered by large language models (LLMs), are vulnerable to indirect prompt injection, in which malicious instructions embedded in untrusted data can trigger…
NVIDIA Research1 min readTo Infinity and Beyond: ThunderKittens Now on NVIDIA Vera Rubin NVL72!
We ported ThunderKittens to NVIDIA's Vera Rubin NVL72 and rebuilt our NVFP4 GEMM around the new hardware, taking it from 42% of roofline to over 22 PFLOPS — competitive with cuBLAS and CuTe DSL. Here is what changed in the ISA and how we used it.
Together AI Blog10 min readStartup d-Matrix Will Pair Its Raptor Memory-Based XPU To Nvidia Rackscale Iron
Engineers with startup d-Matrix have spent the past seven years putting together the pieces of what ...
Next Platform5 min readHaystack RAG Pipeline with Self-Deployed AI models using NVIDIA NIMs
In this notebook, we will build a Haystack Retrieval Augmented Generation (RAG) Pipeline using self-hosted AI models with NVIDIA Inference Microservices or NIMs. The notebook is associated with a technical blog demonstrating the steps to deploy NVIDIA NIMs with Haystack into production.
Haystack by deepset6 min read
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