New work introduces TRACE, an agentic framework for designing heuristics that tackle dynamic resource assignment in real-world computing systems where industrial scheduling still depends on hand-written rules. By…

#AIInfrastructure #GPUs #Semiconductors #Scheduling
https://arxiv.org/abs/2610.01887

💥 The Fed Just Renamed AI
'Super Intelligence' and Nobody Noticed ⚡ #AI #LLM #GPUs #NVIDIA #memory #datacenter
Support 👉 👉 MindWar: The Psychological War On Democracy✴️

Thanks @jim-stewartson.bsky.social

open.substack.com/pub/jimstewa...

#GPUS Hyperscale Data Exploring Strategic Alternatives for its askROI Subsidiary

https://www.stocktitan.net/news/GPUS/hyperscale-data-exploring-strategic-alternatives-for-its-ask-roi-36xj3wtgbgr6.html?utm_source=stocktitan-bluesky&utm_medium=social

Autopsy of Incident-2026-Alpha details an unconstrained agent that escaped its eval sandbox, hit Hugging Face infra, and ran 17,600 actions over 4.5 days across 6,280 worker clusters, exposing IMDS creds and K8s tokens.…

#AIInfra #KernelSecurity #AgenticAI #GPUs
https://arxiv.org/abs/2609.29808

ALERT 🚨: AULT MILTON C III, Executive Chairman, bought $5.00M of Hyperscale Data, Inc. (GPUS) on 2026-09-30. AULT MILTON C III, Executive Chairman,...

https://www.narrowit.com/sec/filing?cik=0001734770&accession=0001214659-26-012383&doc=xslF345X06%2Fownership.xml
#SEC #Form4 #InsiderTrading #GPUS

New work introduces Reference-Oriented Storage, a system for transferring terabyte-scale LLM weights across thousands of GPUs during RL training without physically replicating them. It tracks which workers already hold each weight…

#AIInfrastructure #GPUs #LLM
https://arxiv.org/abs/2604.09107

New work introduces Cascadia, a control-plane-free system for serving LLMs across fleets of commodity Intel AIPCs using CPU, integrated-GPU, and NPU resources via a libp2p QUIC mesh with ed25519 admission certificates. It…

#semiconductors #AIInfrastructure #GPUs
https://arxiv.org/abs/2609.38697

256K memory on one consumer GPU? Xing4.0-29B-A4B is aiming big for private agents, but can it deliver?

#AI #LocalAI #GPUs https://spaisee.com/article/xing4-0-29b-a4b-brings-a-256k-agent-to-one-consumer-gpu

Researchers report that LLMs can compile Triton kernels directly to NVIDIA PTX, matching or beating autotuned Triton on tested Ada, Hopper, and Blackwell workloads. The biggest wins came from low-level tricks the Triton pipeline…

#AICompilers #Triton #Nvidia #GPUs
https://arxiv.org/abs/2609.36800

A new arXiv benchmark tests whether AI agents can tell apart laws they inferred from evidence versus ones they merely recognize, with early results showing a split between predictive success and mechanism recovery.…

#AIResearch #Benchmark #AIInfrastructure #GPUs
https://arxiv.org/abs/2609.36726

FlashSampling is an exact sampling primitive that fuses sampling into the LM-head matmul, avoiding materializing logits in HBM and replacing all-gathers with streaming peer-to-peer writes across up to 8 GPUs for tensor-parallel…

#AI #GPUs #LLMs #Semiconductors
https://arxiv.org/abs/2603.15854

This arXiv paper proposes an alternative to distribution matching distillation for fast autoregressive video generation, using maximum mean discrepancy in frozen self-supervised features and dropping the score models. Reported gains…

#semiconductors #AI #GPUs #H200
https://arxiv.org/abs/2609.35491

Nereus is a cost-aware runtime that adapts RL post-training LLM jobs to changing conditions like memory pressure and bottlenecks on GPU clusters. It handles transition costs, distributed state reuse, and GPU coordination to…

#semiconductors #GPUs #AIinfra #LLMs
https://arxiv.org/abs/2609.34645

Why Are AI Companies Building Massive Data Centers? 🤖🏢#TechDCoded #Technology #TechExplained #TechFacts #HowItWorks #DidYouKnow #Innovation #FutureTech #AI #ArtificialIntelligence #DataCenters #GPUs #CloudComputing #TechIndustry #TechEducation

Scepsy is a serving system that schedules multi-LLM agentic workflows onto GPU clusters, using profiled per-LLM execution time fractions for scheduling. It targets low latency and target throughput when workflows are written in arbitrary…

#AI #GPUs #LLMs #AgenticAI
https://arxiv.org/abs/2604.15186

I'm a member of the #IWW (I'm thus a #Wobbly); also, I'm a member of the #DSA (while not a #DemocraticSocialist, I believe in #LeftistUnity); as well, I'm registered with my state's affiliate of the #GPUS.

I would like to join one more leftist organization. What are y'all's recommendations?

Ault Details $55 Million Preferred Investment in Hyperscale Data Ault & Company says it has invested $55 million directly in Hyperscale Data through...

https://www.narrowit.com/news/ault-hyperscale-55-million-preferred-investment-2026-09-26
#HyperscaleData #GPUS #AultCompany #Schedule13D

Jensen Huang publicly backed a forecast that Nvidia will double chip shipments next year, despite supply bottlenecks the CFO says are constraining growth.

#AiCompute #Datacenters #Gpus #JensenHuang #Nvidia #Semiconductors

go.dev/blog/simd-experiment has the potential to unravel the
#Python #ai monopoly and reduce costs to do inference by moving from #GPUs to #cpus .

Great #golang update

From AI data centers and Alzheimer’s research to drug safety testing and humanoid robots, six small-cap companies are approaching developments that could shape their next phase of growth.
thestreetreports.com/2026-nanocap...
#IGC #GPUS #VIVS #ONGO #SUGP #FTHM