Modern GPUs spend most of their time during AI inference waiting for data, as memory bandwidth cannot keep pace with compute throughput. This fundamental bottleneck has driven the AI hardware market, …
A developer released Thaw, an open-source tool that snapshots a live large language model inference session to create forked branches without re-running prefill, addressing the computational waste of …
Researchers have developed DiffusionBlocks, a framework that partitions transformer neural networks into independently trainable blocks to reduce memory requirements proportionally while maintaining c…
GPU utilization rates on major clouds average just 5 percent, meaning most paid GPU hours produce no useful work, while egress fees of up to $0.12 per GB and data gravity lock-in add hidden costs that…
The Shanghai Futures Exchange is designing a derivatives market for AI tokens, joining the CME Group and the Intercontinental Exchange in developing futures contracts for GPU compute and AI services. …
The Kog AI team implemented a single-kernel LLM inference engine on AMD MI300X GPUs, achieving over 3,000 output tokens per second per request for a 2B-parameter model in FP16 precision. The monokerne…
The cost of renting Nvidia’s H100 GPUs declined after a surge in early May, according to the Ornn Compute Price Index (OCPI) published by Ornn AI Inc. The index, now accessible on the Bloomberg Termin…
Nexus Labs reduced time-to-first-token (TTFT) from 480ms to 110ms on one tenant by enabling vLLM's prefix cache for agent workloads, while another tenant saw no improvement. The discrepancy was caused…
A developer explains that understanding seven core AI metrics—parameters, tokens, FLOPS, TOPS, and FLOPs—is essential for avoiding costly deployment mistakes, such as choosing a 70B-parameter model th…
According to Cast AI's 2026 State of Kubernetes Optimization Report, average GPU utilization across enterprise Kubernetes clusters is only 5%, meaning 95% of provisioned GPU capacity sits idle. This w…
Slow single-image diffusion model inference is primarily caused by kernel launch overhead and attention memory traffic, not by a lack of computational power. It recommends using `torch.compile` with `…
The author quit their FAANG job in 2024 to become an independent researcher and built a $48K GPU server called "grumbl" with six RTX 6000 Ada GPUs. They chose these GPUs over A100s and H100s based on …
Guide for fine-tuning NVIDIA's Cosmos Predict 2.5 world model using LoRA and DoRA techniques to generate synthetic robot manipulation videos. The approach freezes the base model's 2 billion parameters…
Nvidia's Blackwell B200 GPU is the company's first chiplet design, using two reticle-sized dies that appear as a single GPU to software, moving away from the monolithic approach used in prior generati…