Tracked topic
…Ingest data easily via TensorFlow Datasets for use in popular ML frameworks like TensorFlow , PyTorch , and JAX . Inspect and modify the metadata using the Croissant editor UI ( github ). To publish a Croissant…
…모델 익스포트 이슈 해결 방법 대부분의 팀은 PyTorch나 TensorFlow에서 모델을 학습한 뒤, NVIDIA TensorRT 최적화에 앞서 ONNX를 중간 표현(intermediate representation)으로 익스포트합니다. 이 변환 단계에서 다수의 문제가 표면화됩니다. 지원되지 않는 동적…
…As part of its latest announcements, Google announced a slew of upgrades to Hypercomputer which include new virtual machines powered by custom Arm-based CPUs, eight generation tensor processors, native PyTorch TPU…
…The transition proved effortless. “Our code was already in PyTorch, so translating everything to the AMD stack and ROCm software took one engineer roughly half a day,” says Azimian. The open-source…
Running PyTorch Models on Apple Silicon GPUs with the ExecuTorch MLX Delegate
Running PyTorch Models on Apple Silicon GPUs with the ExecuTorch MLX Delegate
Show HN: We built an LLM inference engine in pure Python – no PyTorch, no Triton
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…
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 …
…With CUDA optimizations, the Spark gets a 2x improvement in Omniverse Issac Sim, while other models such as Qwen3 30B, Stable Diffusion 3.5 see over 30% uplift, and PyTorch updates also…
…Furiosa’s SDK leverages a general compiler that automatically maps high-level PyTorch code to silicon. For developers requiring more granular control, Furiosa’s Virtual ISA offers a declarative programming model that…
…The company also continues its support for PyTorch which now adds FP32 and FP16 mixed precision. This is great work by the AMD software team who are strengthening the ROCM 6.0…
…Do you have a public model I could look at? You're using the example image classification script in Transformers ( https://github.com/huggingface/transformers/tree/main/examples/pytorch/image-classification ) or…
…46.6% of correct kernels are slower than the PyTorch eager baseline, and cross-hardware speedup variance reaches 21.4times. Besides, quantization remains completely unsolved (0/30 successes) despite non-trivial compilation…
…Chat, etc; advanced LLM use-cases on PyTorch with ROCm; local LLM-assisted software development with VS Code and Qwen3-Coder-30B; and workflow automation with n8n and GPT-OSS-120B models…
