Jeffrey Kampman
- Indexed articles, last 90 days
- 17
- Latest publication
- Sep 12, 2026
- Outlet visibility, for Tom's Hardware
- Top 10K sites
- Earliest in this view
- Jul 6, 2026
Latest articles
We tested unofficial DLSS Multi Frame Generation support on RTX 40-series GPUs — new mod brings RTX 50-series exclusive feature to older cards, and it really works (opens the original)
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It’s been a heck of a time lately for PC gamers willing to get their hands dirty with mods. Hot on the heels of the discovery of the DLSS 5 DLL in a prerelease version of NBA 2K27, modder dashdogy found a way to bring Multi Frame Generation, one of the crown jewels of GeForce RTX 50-series graphics cards, to RTX 40-series (and earlier) products. As already elevated graphics card prices seem set to continue rising, and hardware upgrades get further and further out of reach of the average PC gamer
Benchmarking Qwen 3.8 27B on RTX 5090 and beyond (opens the original)
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Alibaba’s Qwen 3.8 27B open-weight AI model came out a couple of weeks ago, and it immediately created a wave of hype among local AI enthusiasts thanks to its impressive intelligence benchmark results for a model of its size and capabilities. Totaling around 17GB for four-bit quantized weights and offering built-in multimodal capabilities on top of its general aptitude, Qwen 3.8 27B immediately grabbed the attention of everybody with an RTX 5090, RTX 4090, or RTX 3090 (as well as a Radeon RX 790
Nvidia PAIR utility joins every GPU in your home into a cluster for agentic AI tasks (opens the original)
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If you're a token-hungry AI enthusiast, and if you or your family happen to have PCs with idle GPU cycles to spare in this economy, Nvidia wants to make it possible to harness those cycles so you can save cash on cloud tokens and keep your work private. At IFA 2026, the company is introducing a local distributed AI clustering tool called the Personal AI Router (PAIR) that dispatches agentic AI sub-tasks from your main PC to systems on your home network that have suitable GPU cycles to spare. As
We explored early DLSS 5 performance with community mods — and the limits of the 12V-2x6 power connector may hold it back on the RTX 5090 (opens the original)
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It's been a wild few days for gamers, as a version of the DLSS 5 model leaked with NBA2K27 and promptly got modded into every game under the sun. After initial builds that relied on ReShade to make the model work, the community has since wrapped up DLSS 5 into an Optiscaler package that makes adding it to most games nearly painless. With that development, we wanted to get a sense of how the tech performs ahead of its official release. We're not going to weigh in on the aesthetic or philosophical
Hot Chips 2026: Cerebras lays out the future of wafer-scale AI — Nexus system architecture triples rack-scale performance, CS-6 wafer to incorporate stacked DRAM (opens the original)
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Cerebras' SRAM-packed wafer-scale engines (WSEs) have carved out a niche in the AI model serving space for extremely low-latency, high-throughput inference, enabling services like OpenAI's ChatGPT-5.6 Sol Ultrafast tier. At Hot Chips 2026, the company revealed the next two generations of its wafer-scale accelerator roadmap. It also discussed the benefits of its new Nexus rack design for the CS-4 rack-scale accelerator and the performance of the three WS-3T wafer-scale engines contained within. T
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Top 10K sites
For Tom's Hardware, the outlet · Measured Aug 1, 2026
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