Hyperscalers Are 'Scratching Their Heads' with Rising Memory Costs, But NVIDIA Might Be the Only One Smiling
… Memory inflation is a serious concern for AI giants right now, yet there are no signs that spending is being affected. …
… Memory inflation is a serious concern for AI giants right now, yet there are no signs that spending is being affected. …
… DRAM has evolved to be a crucial component of the AI supply chain, as it is not only widely used in high-bandwidth memory HBM but also companies continue to employ technologies like DDR5 and DDR4 for conventional AI workloads. …
… That's because of the 'RAMpocalypse': the global memory shortage spurred on by a growing demand from AI data centers. …
… Retail Channels Are Likely Pricing an MSRP Increase By AMD As The Radeon RX 9070 XT At $599 Becomes a Distant Reality Well, there's no doubt that current-gen GPU launches were messed up in terms of retail availability, since not only were inventory levels noted to be significantly lower, but less s… …
… Again, inflation is about 2X of that over 30 years. …
… The scope and detail of AAA games didn't really outgrow the 8GB buffer; developers just passed the buck to Nvidia, who haven't done gamers any favors in the memory department. …
… Enabling gigascale agentic AI with better performance and TCO NVIDIA BlueField‑4–powered CMX provides AI‑native organizations with a new way to scale agentic AI: a pod‑level context tier that extends effective GPU memory and turns KV cache into a shared high‑bandwidth, long‑term memory resource acr… …
… Related It's time to accept Nvidia's "fake frames" might be the new normal Like it or not, Nvidia's RTX 50 series shows that AI-generated frames are here to stay High-end GPUs shafted with low VRAM What explains expensive GPUs having insufficient memory? …
… That said, my objective this time was to see how far I can push the core clock and memory clock of the RTX 3080, and whether it will translate to real-world FPS gains. …
… They’re the most aggressive AI Lab on scaling post-training techniques like Reinforcement Learning . Their roadmap is more memory-bandwidth-bound than FLOPs bound. Our recent HBM report explains in-depth which AI workloads tend to be memory-bound. …