Nvidia Blackwell
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Headlines · 8
- Tensor Core FP32 methods speed up MLIP molecular dynamics
NVIDIA Technical Blog reports that TF32x3 and BF16x9 Tensor Core methods accelerated PET machine learning interatomic potential workloads without retraining or changing model weights or architecture. On an A100, TF32x3 sped up major GEMMs by up to 1.9x and complete molecular dynamics steps by up to 1.5x, while BF16x9 on an NVIDIA B300 reached 2.5x and 1.7x speedups, respectively. The tests also examined force accuracy, energy conservation, structural relaxation, and numerical behavior close to FP32.
NVIDIA Technical Blog · 🔥 0 - King Slide founder becomes Taiwan's richest as AI server rails surge
TMTPost reported that the 2026 Hurun Rich List placed King Slide founder and chairman Lin Congji at the top of Taiwan's wealthy ranking, with a reported net worth of RMB 135 billion. King Slide reportedly holds about 80% of the global high-end server rail market and recorded an 87.42% gross margin in Q2 2026, aided by demand for AI servers. The company is building a plant in Houston and developing rails for NVIDIA's Blackwell and Rubin platforms.
钛媒体 · 🔥 0 - TSMC reportedly weighs 10%–20% CoWoS price increase amid AI demand
Taiwanese media cited supply-chain sources saying TSMC is considering raising CoWoS advanced-packaging prices by 10%–20%, while other foundries and packaging firms are evaluating similar adjustments. TSMC has not confirmed the reported increase. AI accelerator demand has expanded CoWoS orders beyond GPUs to server CPUs and custom ASICs, tightening packaging and testing capacity as relevant equipment lead times reportedly lengthened from three-to-six months to six-to-eight months.
cnBeta · 🔥 0 - AI Compute Rental Market Shows a Sharp Supply Mismatch
A TMTPost analysis reports that H100 median rental prices fell from more than $7 per hour in early 2024 to about $3.4 by mid-2026, while some lower-end compute-node rents dropped from 30,000 yuan to below 6,000 yuan a month. It cites industry estimates that China’s intelligent-computing centers average about 30% utilization, versus continued shortages of newer Blackwell B200 cards priced above $8 per hour. The report attributes the divergence to older GPUs losing rental demand as major customers build their own clusters and model API prices fall, while supply remains uneven across locations and generations.
钛媒体 · 🔥 0 - MiniMax M3.1 Flash gains day-zero TokenSpeed support
MiniMax said LightSeek Foundation provided day-zero support for MiniMax M3.1 Flash in TokenSpeed. LightSeek listed DSpark speculative decoding and mixed MXFP8 and NVFP4 precision on Blackwell among TokenSpeed’s capabilities. The post also said TokenSpeed is featured in MiniMax’s official deployment guide.
MiniMax_AI (X) · 🔥 0 - vLLM Adds Day-0 Support for MiniMax-M3.1-Flash
vLLM Blog reports day-0 support for MiniMax-M3.1-Flash on NVIDIA Blackwell GPUs, NVIDIA Rubin GPUs with dedicated kernels, and AMD MI350-series GPUs. Prebuilt NVIDIA and AMD images are available. The implementation uses MiniMax Sparse Attention, an NVFP4 KV cache, NVFP4-quantized MoE weights and a DSpark drafter. vLLM reports gains in kernel and serving performance, including optimized agentic serving on GB300, Rubin and MI355X hardware. It also reports day-0 end-to-end reinforcement-learning support with veRL, FSDP2 and LoRA, demonstrated on 16 GB300 GPUs.
vLLM Blog · 🔥 0 - ISTA-DASLab prefiller recovers Qwen3.8-27B low-quant accuracy via SSD streaming
A r/LocalLLaMA post describes an ISTA-DASLab demo that uses a prefiller model streamed from SSD to recover the accuracy lost by low-bit quantization of Qwen3.8-27B, while keeping VRAM use low and decoding fast. The post says the accompanying graph shows MMLU-Pro accuracy and points to a Hugging Face page, ISTA-DASLab/Qwen3.8-27B-NVFP4-prefiller. The poster notes the demo requires an Nvidia Blackwell GPU and was therefore not tested by them, and that the claim of no speed penalty versus running without the prefiller for contexts longer than about 4k is an untested expectation.
r/LocalLLaMA · 🔥 0 - Frore unveils diamond-infused coldplates for 2,300W Nvidia Rubin, claims up to 22C drop
Frore Systems introduced LiquidJet Diamond, a bespoke liquid-cooling coldplate series that adds diamond-wafer heat spreaders at the bottom of the coldplate to target hotspots on next-generation AI accelerators such as Nvidia's Rubin and AMD's Instinct MI400 and MI500. The company claims the design handles hotspot power densities up to 770 W/cm², lowers GPU temperatures by 16–22C versus conventional coldplates and improves AI token throughput per watt by 30%–35%, though those figures come from its own models and it has not disclosed how the diamond wafers are manufactured or integrated. Frore plans to demonstrate the technology at the OCP Global Summit on October 12–16, showing cooling for Nvidia's 2,300W Rubin, but has not said whether the demo uses production GPUs or a thermal test vehicle.
Tom’s Hardware · 🔥 0
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