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…