…Performance For More Cost-Effective Gaming Laptops During CES 2026, AMD expanded its Strix Halo or Ryzen AI MAX+ SoC family with two new additions, the Ryzen AI MAX+ 392 and the…
…The older one, FSR 3, which relied on older AI engines and wasn't a fully-tuned AI model like FSR 4 (DP4a on other GPUs), which is cheaper regarding GPU resources…
…By securing performance comparable to current flagship GPUs while exceeding them in power efficiency, it addresses the demand for energy and cost optimization in large-scale AI data centers. It is specifically…
Gigabyte has introduced its AORUS RTX 5060 TI 16 GB AI BOX eGPU with Thunderbolt 5 and strong cooling performance. Gigabyte's AORUS RTX 5060 Ti AI BOX eGPU With TB5 Offers…
…G.Skill explicitly blames the boom in the AI workloads for this surge and says that it has resulted in a drastic increase in procurement and sourcing costs. Now, as we are…
…NVIDIA's solution to Path Tracing is said to be near "Production Ready" and halves the spatial reuse cost. ReSTIR enhanced PT algorithms also offer improved performance and quality thanks to optimizations…
…Cost Tokens In The World” Says NVIDIA CEO As He Highlights The Full-Stack Approach To AI Google and NVIDIA have collaborated to optimize Gemma 4 for NVIDIA GPUs, enabling efficient performance…
…While the goal certainly seems optimistic, it is also important to note that the NAND supply lines are already under massive pressure following demand for storage from CSPs and AI giants, and…
…is seeing an increase in inference workloads, and the company is looking for a more cost-effective workload, which is why AMD's AI chips make sense here, since they are the…
…CPX GPU uses a cost‑efficient, monolithic die design packed with powerful NVFP4 computing resources and is optimized to deliver extremely high performance and energy efficiency for AI inference tasks. via NVIDIA…
