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NVIDIA Ising Enables Fully Automated Quantum Computer Calibration with Enhanced In-Context Learning

27 July 2026 at 16:00
NVIDIA Ising Calibration is an open source vision language model (VLM) designed to interpret diagnostic outputs from quantum processors and determine how they...

NVIDIA Ising Calibration is an open source vision language model (VLM) designed to interpret diagnostic outputs from quantum processors and determine how they should be tuned to continue operating. This post introduces the latest model release, NVIDIA Ising Calibration 1.5, which advances AI-based QPU calibration by analyzing unfamiliar diagnostic results without prior training examples.

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Run DiffusionGemma on NVIDIA for Developer-Ready, High-Throughput Text Generation

10 June 2026 at 16:16
Decorative image.Developers building real-time AIβ€”such as chat assistants, copilots, and agentic workflowsβ€”are often constrained by token-by-token generation speed. This...Decorative image.

Developers building real-time AIβ€”such as chat assistants, copilots, and agentic workflowsβ€”are often constrained by token-by-token generation speed. This limits responsiveness, increases serving costs, and makes fluid, interactive experiences difficult to achieve. DiffusionGemma, created by Google DeepMind and optimized to run efficiently across NVIDIA platforms, introduces a new approach to…

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Delivering Lifecycle Control for AI Infrastructure at Scale with NVIDIA DGX Spark Enterprise Manageability

9 June 2026 at 19:00
As AI infrastructure scales, enterprise expectations for operational maturity are increasing. Organizations expect these systems to be provisionable,...

As AI infrastructure scales, enterprise expectations for operational maturity are increasing. Organizations expect these systems to be provisionable, observable, secure, and manageable at scaleβ€”the same standard applied to all critical infrastructure. The moment an AI system moves from development into enterprise deployment, that operational foundation is essential. NVIDIA DGX Spark and…

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Run Local AI Agents with Faster Models and Multi-Node Clustering on NVIDIA DGX Spark

1 June 2026 at 22:00
The rise of autonomous, long-running AI agents has introduced a new class of compute demand, namely tasks that maintain large context windows, spawn concurrent...

The rise of autonomous, long-running AI agents has introduced a new class of compute demand, namely tasks that maintain large context windows, spawn concurrent subagents, and iterate continuously without cloud dependency. Security and privacy concerns are also accelerating the shift toward local agents. Developers, by running autonomous agents on hardware they own with NVIDIA NemoClaw…

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