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Videos
More videosNVIDIA Blackwell Sets STAC-AI Record for LLM Inference in Finance | NVIDIA Technical Blog
…These quantized models were run using TensorRT LLM PyTorch runtime for a familiar, native PyTorch development experience while maintaining peak performance. Benchmarking results on STAC-AI LANG6 Benchmarking results for both batch…
Corsair Introduces Corsair Pro Lineup of AI Workstations and Servers
…can be configured with a validated software stack tuned to the hardware in each build. PyTorch and TensorFlow are pre-installed and validated against the selected GPUs. Docker and Kubernetes are configured…
NVIDIA Ising Introduces AI-Powered Workflows to Build Fault-Tolerant Quantum Systems | NVIDIA Technical Blog
…The training framework then uses the cuStabilizer library within NVIDIA cuQuantum and PyTorch to generate synthetic training data and train a 3D CNN that optimizes decoding performance for the task. Users can…
Discussions and forums
Running PyTorch Models on Apple Silicon GPUs with the ExecuTorch MLX Delegate
Running PyTorch Models on Apple Silicon GPUs with the ExecuTorch MLX Delegate
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Running PyTorch Models on Apple Silicon GPUs with the ExecuTorch MLX Delegate
Running PyTorch Models on Apple Silicon GPUs with the ExecuTorch MLX Delegate
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Show HN: We built an LLM inference engine in pure Python – no PyTorch, no Triton
Show HN: We built an LLM inference engine in pure Python – no PyTorch, no Triton
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Show HN: I built a 2nd-order PyTorch optimizer for LLMs that runs on 16GB GPUs
Hi HN,I'm Danilo. I've been struggling with the limitations of AdamW when fine-tuning LLMs locally. Second-order optimizers (like Shampoo or SOAP) offer significantly better step-convergence by exploiting Kronecker-facto…
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Show HN: Run TRELLIS.2 Image-to-3D generation natively on Apple Silicon
I ported Microsoft's TRELLIS.2 (4B parameter image-to-3D model) to run on Apple Silicon via PyTorch MPS. The original requires CUDA with flash_attn, nvdiffrast, and custom sparse convolution kernels: none of which work …
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Dell Expands AI Platform with AMD GPU and Modular Infrastructure Options
…Both configurations are built on the AMD ROCm software stack and support open frameworks such as PyTorch and vLLM. Integration with the Dell Automation Platform provides deployment and lifecycle management capabilities that…
Linux May Drop Old Network Drivers Now That AI-Driven Bug Reports Are Causing A Burden
…New Keys On Upcoming Laptops For Expanded AI Agent Interactions Hugging Face Contributes Safetensors To PyTorch Foundation To Secure AI Model Execution Tiny Corp Begins Accepting Pre-Orders For Their $10M Exabox…
모델 양자화: NVIDIA Model Optimizer로 구현하는 학습 후 양자화(PTQ)
…ModelOpt는 Hugging Face, PyTorch, ONNX 포맷의 모델을 입력으로 받으며, 다양한 최적화 기법을 자유롭게 조합해 최적화된 체크포인트를 산출할 수 있도록 Python API를 제공합니다. ModelOpt는 FP4, FP8, INT8, INT4와 같이 성능이 뛰어난 양자화 포맷을…
Linux 7.0 Adds Support For New Keys On Upcoming Laptops For Expanded AI Agent Interactions
…Good & The Bad When Using LLMs To Write Spack Packages Hugging Face Contributes Safetensors To PyTorch Foundation To Secure AI Model Execution Tiny Corp Begins Accepting Pre-Orders For Their $10M Exabox…
Building Custom Atomistic Simulation Workflows for Chemistry and Materials Science with NVIDIA ALCHEMI Toolkit | NVIDIA Technical Blog
…ALCHEMI Toolkit extends beyond individual models and kernels to provide a modular, PyTorch-native structure for researchers and developers to compose custom simulation workflows. Figure 1 shows the ALCHEMI architectural stack and…
DEEPX DX-AIPlayer N97 mini PC combines Intel N97 SoC and 25 TOPS DX-M1 AI accelerator - CNX Software
…The system supports popular frameworks, including PyTorch, TensorFlow, ONNX, Keras, and Ultralytics YOLO, and utilizes C++ and Python APIs via the DX-RT inference engine. The fully assembled DX-AIPlayer N97 (DX…