128 summarised stories about AI Accelerators, each linking back to the original source. Browse all topics →
NVIDIA Blog 1 month ago 49
d-Matrix announced it will connect its next-generation Raptor XPUs to NVIDIA’s AI infrastructure using NVIDIA NVLink Fusion within the MGX rack architecture. NVLink Fusion is claimed to deliver 3x lower XPU-to-XPU latency than off-the-shelf Ethernet. As a result, d-Matrix can deploy its custom silicon via NVIDIA’s standardized rack-scale platform, rather than building rack-scale infrastructure itself.
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16 October 2026
AI’s center of gravity this week moved toward something less glamorous than headlines about “smarter” models: scaling the stuff models actually learn from. AI4Bharat and NVIDIA released Nemotron-pretraining-Indic-v1, backed by an open, GPU-accelerated synthetic data generation pipeline for 22 Indian languages. The corpus is massive—about 2.8 trillion tokens—split across 2,601.0 billion native-script tokens and 224.6 billion romanized tokens. The practical pitch is even sharper: builders can reuse not just the data, but the full prompt/quality/repair recipe, then continue-pretraining to push results on Nemotron 3.5 Super VL, with the promise that an Indic continued-pretraining stage helps benchmarks.
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