Testing on SemiAnalysis’ InferenceX benchmark suite — presumably this is an unofficial test — shows OpenAI’s Jalapeño-based ...
At DevSparks Hyderabad, NVIDIA’s Jigar Halani explained why as AI moves toward agents and more complex workloads, managing ...
Two weeks of model cards and a day of throwing broken tools at it later, it's the first open model I've seen that's built ...
Thinner dies, more TSV area, thermal dissipation, and limited manufacturing capacity make HBM scaling much more difficult.
The updated cgroup v2 offers more granular oversight of container resources. Since v1.35, Kubernetes won’t initialize nodes ...
IBM unveils a dual-architecture mainframe processor that natively runs Arm and Z workloads, bringing enterprise AI to IBM Z ...
OpenAI released benchmark data for Jalapeno, claiming it outperformed Nvidia's Blackwell Ultra-based GB300 for speed and power efficiency.
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OpenAI Jalapeño Chip Posts 1.9x Efficiency Lead Over Nvidia; Huang Answers With $96B Quarter
OpenAI Jalapeño chip posted up to 1.9x better inference efficiency than Nvidia's GB200 and GB300 on a public benchmark - the same night Jensen Huang called it a single-cloud accelerator while Nvidia ...
OpenAI's custom inference chip outperformed Nvidia Blackwell on SemiAnalysis' InferenceX in tokens per user and throughput ...
Pixel 11 faces iPhone 17 and vivo X300 FE in these CPU and graphics tests. Tensor G6 reveals a performance pattern that the ...
The three HBM makers gave keynote talks at Hot Chips 2026 at Stanford, fielding pointed questions on why they are stacking ...
Apple's new M6 chip is here, and you may be wondering what's different this time around. It's a 2 nanometer chip, but process nodes are some of ...
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