DeeperML

NVIDIA has announced two significant advancements in the fields of AI and quantum computing. The company has open-sourced Dynamo, an inference library designed to accelerate and scale AI reasoning models within AI factories. Dynamo succeeds the NVIDIA Triton Inference Server and offers a modular framework for distributed environments, allowing for the seamless scaling of inference workloads across large GPU fleets. Dynamo incorporates innovations such as disaggregated serving, which separates prefill and decode phases of LLM inference, and a GPU resource planner that dynamically adjusts GPU allocation to prevent over or under-provisioning.

NVIDIA is also launching the NVIDIA Accelerated Quantum Research Center (NVAQC) in Boston. The NVAQC will integrate quantum hardware with AI supercomputers, enabling accelerated quantum supercomputing, and collaborate with industry leaders and top universities to address the hurdles in quantum computing, such as qubit noise and error correction. NVIDIA's GB200 NVL72 systems and CUDA-Q platform will power research on quantum simulations, hybrid quantum algorithms, and AI-driven quantum applications. The NVAQC is expected to begin operations later this year, supporting the broader quantum ecosystem by accelerating the transition from experimental to practical quantum computing.


References :

• The Quantum Insider: NVIDIA Launches Boston-Based Quantum Research Center to Integrate AI Supercomputing with Quantum Computing
• MarkTechPost: NVIDIA AI Open Sources Dynamo: An Open-Source Inference Library for Accelerating and Scaling AI Reasoning Models in AI Factories

Classification:

• HashTags: #AI #MachineLearning #NVIDIA
• Company: NVIDIA
• Target: Intelligence
• Product: AI
• Feature: Optimization
• Type: AI
• Severity: Medium