GPUs

2026-10-26

COMPANIES · 1 SOURCE · NVIDIA Developer

NVIDIA Minerva unifies telemetry into a topology-aware AIOps platform

NVIDIA Minerva ingests telemetry across GPUs, networking, storage, and workloads and builds a dynamic knowledge graph that maps infrastructure to active jobs in real time. Purpose-built ML models detect subtle "gray failures," topology-aware correlation groups alert storms into single incidents, and an AI assistant (Sherlock) plus an MCP server let operators query live evidence and integrate context into external workflows to preserve GPU hours and speed repairs.

7.0

2026-10-26

COMPANIES · 1 SOURCE · NVIDIA Developer

NVIDIA Mission Control 2.5 adds autonomous recovery for Kubernetes workloads via Run:ai

NVIDIA Mission Control 2.5 extends its autonomous recovery engine — which detects, diagnoses, and recovers from failures — to Kubernetes-based AI workloads managed by NVIDIA Run:ai. The release introduces a three-layer control loop coordinating the Kubernetes scheduler, job recovery, and hardware recovery services, and notes additional features such as AI-enabled network anomaly detection with documentation and release notes available for upgrading.

6.0

2026-10-20

MONEY · 1 SOURCE · MIT Technology Review AI

The new economics of enterprise AI and HPE Private Cloud AI

The piece argues enterprise AI is moving from isolated experiments to infrastructure, so organizations should measure 'effective cost per useful outcome'—the combined platform, model, operations, and capacity cost to produce usable business results—and optimize utilization via scheduling, model selection, GPU partitioning, and cache management. It highlights HPE Private Cloud AI as a production-ready integrated stack that, according to independent testing commissioned by HPE, can deliver lower effective cost at high utilization, and recommends choosing between on‑demand APIs, hyperscalers, or integrated private platforms based on workload predictability and scale.

5.0

2026-10-20

COMPANIES · 1 SOURCE · MIT Technology Review AI

Samsung restarts Pyeongtaek memory-fab construction as AI demand surges

Samsung is rapidly expanding its Pyeongtaek semiconductor complex to meet surging demand for memory used in AI accelerators: three fabs already run 24/7, a fourth is coming online, and construction on a fifth—halted during a 2024 downturn—was restarted after an AI-driven rebound in memory demand. The build-out is part of Samsung’s effort to reclaim market position against rivals like SK Hynix and support GPUs and high-bandwidth memory for models from companies such as Nvidia.

7.0

2026-10-06

RESEARCH · 1 SOURCE · MIT News AI

Lincoln Laboratory publishes sixth LAICS survey documenting commercial AI accelerators

Researchers at the Lincoln Laboratory Supercomputing Center (LLSC) have published the latest (sixth) Lincoln AI Computing Survey (LAICS), expanding their catalog to more than 120 commercial AI accelerators and comparing peak performance and peak power across chips, cards, and systems. The papers and accompanying public datasets track trends in architectures (CPUs, GPUs, ASICs, FPGAs, dataflow accelerators), precision choices, and transistor scaling to inform research, procurement, and system design decisions.

6.0

2026-09-02

CODING · 1 SOURCE · NVIDIA Developer

The Modern CUDA Toolbox in Practice: A Step-by-Step Optimization Walkthrough

NVIDIA Developer published a step-by-step walkthrough showcasing the modern CUDA toolbox for optimizing GPU-accelerated code. The piece positions CUDA as a foundation for workloads from scientific simulations to large-scale AI training and demonstrates practical optimization guidance.

6.0

2026-08-24

COMPANIES · 1 SOURCE · NVIDIA Developer

NVIDIA’s Spectrum-X Ethernet: Rewriting Data Center Networking for Giga-Scale AI

An NVIDIA Developer article says the explosive growth of generative AI and distributed model training across hundreds of thousands of GPUs is fundamentally changing data center design, and introduces Spectrum‑X Ethernet as a networking approach aimed at meeting those new requirements.

7.0