At CES 2026, Nvidia revealed it is planning a software update for DGX Spark which will significantly extend the device's ...
Alphabet’s TorchTPU push targets Nvidia with competitive AI hardware/software and key data center assets via Intersect. Click ...
Nvidia's DGX Spark and its GB10-based siblings are getting a major performance bump with the platform's latest software ...
Calling it the largest advancement since the NVIDIA CUDA platform was inroduced in 2006, NVIDIA has launched CUDA 13.1 with CUDA Tile, which the company said introduces a virtual instruction set for ...
Nvidia A40 GPUs, AMD Epyc 7352 CPU, NGC 25.09 PyTorch image (CUDA 13.0, NCCL 2.27.7, PyTorch 2.9.0a0), TensorRT-LLM 1.2.0rc2. Using the official quickstart_advanced.py script for the LLM API (PyTorch ...
Wedbush said checks from its Asia trip showed bullish sentiment for the "AI Revolution" and chip demand accelerating into 2026. "In a nutshell, we are seeing clearly accelerating chip demand in the ...
Artificial intelligence is the 21st century’s most vital technology. The nation that sets the standards reaps both economic rents and strategic leverage. That is why America’s goal cannot be merely to ...
Discover how Torch-TensorRT optimizes PyTorch models for NVIDIA GPUs, doubling inference speed for diffusion models with minimal code changes. NVIDIA's recent advancements in AI model optimization ...
HSBC senior analyst Frank Lee says AMD is catching up to Nvidia. He even doubled his price target on AMD stock to $200 on Thursday. But AMD's gap with Nvidia is not just in terms of performance.
Testing the Qwen2.5 VL-3B model using TRTLLM version 0.19.0, following the PyTorch workflow example , running with the use_cuda_graph parameter resulted in only a few generated tokens. Removing the ...
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