NVIDIA's data center GPU roadmap has advanced through four major architectures—Ampere, Hopper, Blackwell, and Vera Rubin—each delivering more memory, faster interconnects, and lower-precision compute …
A new analysis of 2,200 AI research reproducibility cases finds that most papers fail to replicate due to hardware variance, hyper-parameter sensitivity, and dependency issues, with the missing link o…
CasaNova Labs, an AI studio for real estate imagery, breaks down the true GPU cost of rendering AI-staged rooms, revealing that per-image pricing in production is dominated by model loading, idle VRAM…
CoreWeave has booked Nvidia A100 GPUs through 2029, nine years after the chip's May 2020 launch, CEO Mike Intrator confirmed on the company's second-quarter earnings call. Nvidia CEO Jensen Huang ampl…
NVIDIA's six-year-old A100 "Ampere" GPU will remain in use until 2029, as CoreWeave has signed an agreement with a customer to rent the chips, confirmed by NVIDIA CEO Jensen Huang. The A100, introduce…
RunSnack, a peer-to-peer GPU sharing platform, lets users rent or share GPUs via a single link, with no accounts, cloud, or platform fees. The tool, built for quick ML tasks, uses sandboxed Docker con…
Nvidia CEO Jensen Huang said on August 13th that the A100 fleet remains 'mission-capable' through 2029, citing CUDA's role in extending the lifespan of AI accelerators. The statement amplifies a CoreW…
A new arXiv study (arXiv:2608.11226v1) reports that a PPO meta-controller trained to adapt GRPO training generation parameters cut power-limit violations by 89.8% while increasing token output by 18.1…
A new arXiv paper (2608.11361v1) shows that the cost-optimal tokenizer vocabulary size for large language models varies by deployment regime, shifting 16x with serving batch size from 32k at batch siz…
Kubernetes 1.37, releasing August 26, brings pod-level resources to stable, DRA device taints to GA, and advances GPU partitioning, addressing the 5% average GPU utilization measured by Cast AI across…
AlphaPebble Labs engineers detailed a field guide for training AI models on RunPod's rented GPU infrastructure, highlighting edge cases such as the SSH gateway acting as a console rather than an exec …
A developer's analysis shows that INT4 weight-only quantization speeds up decode but not prefill, because prefill is compute-bound while decode is memory-bound. The crossover point where a GEMM become…
IREN Limited reported that demand for its GPU cloud services now exceeds supply, with contracts pricing above $15 million per megawatt. The company, formerly known as Iris Energy, has secured a multi-…
The Compute Exchange Inc. launched a secondary marketplace for used and refurbished Nvidia H100 and A100 GPUs, connecting buyers with suppliers as enterprises and AI startups seek cost-effective AI ha…
Average GPU utilization in production Kubernetes clusters is just 5%, according to the Cast AI 2026 State of Kubernetes Optimization Report, meaning 95 cents of every GPU dollar goes to idle silicon. …
Microgpt's 100,000-token context window costs 14x more than benchmark claims due to an undocumented architectural decision in line 127 of its multi-head attention implementation, according to a techno…
NVIDIA released Nemotron-Labs-TwoTower on July 1, achieving 2.42 times faster inference throughput at 98.7% of the baseline model's benchmark quality by adding a second neural network tower trained on…
A developer's analysis quantifies the real operational costs of open-source AI tools in agent-centric architectures, revealing that while models like LLaMA 3 are free to use, deployment can cost over …
A user reports intermittent HTTP 500 errors on a custom-handler Inference Endpoint for text embeddings (Llama-3.1-8B) since early morning on 2026-07-14, with approximately 70% of requests failing whil…
An engineer's analysis reveals that LLM inference throughput on NVIDIA GPUs is bottlenecked by memory bandwidth, not compute. A 7B model achieves ~15 tok/s on a T4 but over 3,500 tok/s on an H100, a 1…