Tracked topic
…The NVIDIA Blackwell architecture powering DGX Spark includes the NVFP4 data format, which enables AI models to be compressed by up to 70% and boosts performance without losing intelligence. NVIDIA’s collaborations…
…The new GIGABYTE laptop lineup includes three models that ship with GiMATE, leveraging NVIDIA NVFP4 quantization to improve generative AI efficiency on RTX 50 series laptop GPUs. The new flagship laptop model…
…An NVFP4 Parallel Infrastructure for Long Video Generation (2026) SANA-WM: Efficient Minute-Scale World Modeling with Hybrid Linear Diffusion Transformer (2026) Long-Horizon Streaming Video Generation via Hybrid Attention with Decoupled…
…state-of-the-art audio-video model, released earlier this month, now has support for NVFP4 and FP8 distilled models, accelerating performance by 2.1x. Learn more about Lightricks’ LTX 2.3…
Safetensors, llmfan46/Qwen3.5-35B-A3B-uncensored-heretic-v2-Native-MTP-Preserved: https://huggingface.co/llmfan46/Qwen3.5-35B-A3B-uncensored-heretic-v2-Native-MTP-Preserved GGUFs, llmfan46/Qwen3.5-35B-A3B-uncensored-here…
Build is done. 16 DGX Sparks on the fabric, all hitting line rate. Setup was time consuming but honestly smoother than I expected. Each Spark runs Nvidia’s flavor of Ubuntu out of the box with mostly everything pre insta…
Added a 16x Spark Cluster to my homelab over the last few days. Curious if this is the largest Spark cluster anyone has built. About 2 years ago I had renovated my basement and built a personal lab/datacenter into my off…
Added a 16x Spark Cluster to my homelab over the last few days. Curious if this is the largest Spark cluster anyone has built. About 2 years ago I had renovated my basement and built a personal lab/datacenter into my off…
…Cosmos 3 NIM supports selecting BF16, FP8, or NVFP4 quantized checkpoints. The NVFP4 quantization reduces the model’s numerical precision from BF16 to 4-bit floating point, achieving up to 2x inference…
…concurrent coding agents, and other high-throughput multimodal use cases. Developers can use StepFun’s NVFP4-quantized checkpoint available through Hugging Face for boosted inference due to reduced memory bandwidth and storage…
…On the NVIDIA Blackwell platform, the model runs in NVFP4 precision. That cuts memory requirements and pushes inference up to 4x faster than FP8 on NVIDIA Hopper, with no loss in accuracy…
…NVLink switch and fabric (for the NVL72 rack-scale design and NVIDIA HGX architecture), and NVFP4 -enabled Tensor Cores, increasing throughput per watt. Recent SemiAnalysis InferenceX data shows that NVIDIA software optimizations…
…With Rubin CPX, NVIDIA has essentially covered up the prefill stages through its attention-acceleration engines and massive NVFP4 compute. For decoding, NVIDIA will leverage Groq, as Jensen mentioned. LPUs leverage on…
…Recently, Nvidia introduced a new 4-bit number format, NVFP4 , to accelerate AI workloads, which generally tolerate low-precision math. But some tasks require precision. Singh cited geographical information systems, such as…