Researchers submitted Purlin, a scale-up GPU collective communication framework that separates orchestration from the datapath, to arXiv on 29 Sep 2026. Purlin specifies collectives as input/output la…
DanLing NestedTensor, a PyTorch tensor abstraction that makes multi-ragged structure a property of the tensor itself, delivers a geometric-mean 2.74x eager and 3.39x compiled speedup over same-mode pa…
A developer published a command-line guide for monitoring GPU utilization and temperature on remote servers, using nvidia-smi queries, cron-scheduled CSV logging, webhook-based temperature alerts, and…
ViRDM, a teacher- and critic-free post-training recipe for few-step causal video generation, reached 84.87 on the official VBench evaluation after only 20 generator updates, outperforming the previous…
A technical post demonstrates Dynamic Abliteration, a runtime refusal-suppression method that uses PyTorch forward hooks to inject multi-layer contrastive steering vectors into Qwen3-4B's residual str…
A September 22, 2026 arXiv paper reports that greedy decoding in large language models is not precision-invariant: the same model, prompt and decoding algorithm produced different outputs in BF16 vers…
Ornn Data reported that the cheapest qualifying open-weight model on the Artificial Analysis Intelligence Index completes a task at roughly one fifth the cost of a comparable closed model, and that se…
The nonprofit research group C4ADS identified at least 56 restricted Nvidia AI chips worth 11.9 million renminbi (about $1.7 million) in Chinese university and research-institution procurement records…
A new arXiv paper (2609.19499v1) reports that generation schedule, not candidate count alone, determines the energy and latency cost of LLM test-time scaling: on A100 GPUs, eight serial generation cal…
Researchers introduced LayerRoute, a parameter-efficient method for adaptive transformer layer-skipping that combines per-layer hard-gated routing with joint LoRA fine-tuning, according to an arXiv pa…
NVIDIA Transformer Engine is now integrated with JAX to accelerate dropless Mixture of Experts (MoE) training, targeting the conditional computation bottleneck in architectures used by DeepSeek, Qwen,…
ApexSovereign Infrastructure Protocol launched ApexSovereign, a bare-metal GPU compute service it says cuts model fine-tuning and inference overhead by up to 40% by scanning global spot-market pricing…
ApexSovereign launched a real-time GPU compute arbitrage protocol that it says scans global spot-market pricing maps every 1,500 milliseconds to secure underutilized bare-metal hardware and cut model …
NVIDIA's NIM (NVIDIA Inference Microservices) stack delivers 2.5x higher concurrency for the Nemotron 3 Ultra model through full-stack optimizations including PagedAttention-based KV cache management,…
A developer benchmarked cold start latencies and costs across serverless GPU platforms, finding Modal fastest at 1.8 seconds on an A100, followed by RunPod at 4.2 seconds and Replicate at 6.5 seconds.…
A commentary argues that AI chip hardware lifecycles are longer than the hype suggests, with a three-year baseline for high-end silicon, citing deployment patterns and depreciation schedules. The piec…
Taiwanese prosecutors in Keelung indicted nine people, including employees of Nvidia and Super Micro, on Monday for allegedly smuggling AI servers to China in violation of export controls. The case ma…
FaCTz, a new compression method from Taiwan, achieves 60 gigabytes per second on an NVIDIA A100 GPU, 640 times faster than traditional methods while preserving the topological shape of scientific data…
A developer's attempt to fine-tune Mistral-7B-v0.1 on Google Colab's free tier failed due to out-of-memory errors and a 2-hour session limit, with the runtime disconnecting at step 200 and a MemoryErr…
Monte, a tool by runmonte.ai, mapped the failure boundary of a frozen Unitree Go1 locomotion policy by testing 6,400 combinations of floor friction and lateral push, revealing a broad, variable failur…