DeepSeek-OCR: Images Simplify Text for Large Language Models

DeepSeek is experimenting with an OCR model and shows that compressed images are more memory-friendly for calculations on ...

Nvidia's Venture Portfolio Is Its Secret Weapon

Discover why Nvidia Corporation’s booming AI chip business and strategic tech investments position NVDA for strong, stable ...
Nature

Effector and memory T-cell differentiation: implications for vaccine development

Long-term T-cell memory can be attributed to the following characteristics of memory T-cell populations compared with naive T-cell populations: an increased frequency of antigen-specific precursors ...
GitHub

[Feature]: Improve vLLM CUDA Memory Utilization and Estimation

Thanks @houseroad for the context! It’s a general problem, 1) we do CUDA graph with memory allocation for KV cache, 2) we run the torch.compile. Since we may do memory profiling in torch.compile which ...
GitHub

CUDA out of memory.

Including non-PyTorch memory, this process has 10.72 GiB memory in use. Of the allocated memory 9.29 GiB is allocated by PyTorch, and 1.07 GiB is reserved by PyTorch but unallocated. If reserved but ...
Engadget

The best microSD cards in 2025

A good UHS-I card is quick enough for most people’s needs, and the Lexar Professional Silver Plus is the best value of the ones we’ve tested. Paired with Lexar’s USB card reader, it consistently ...
IEEE

Benchmarking of FERAM-Based Memory System by Optimizing Ferroelectric Device Model

Abstract: We present a framework for design technology co-optimization (DTCO) of the main memory system with one transistor-one capacitor (1T1C) ferroelectric random access memory (FERAM) as an ...
IEEE

Speed Estimation in Induction Motor Drive Using Long Short-Term Memory-Sensorless Model Reference Adaptive System (LSTM-SMRAS) Control

Abstract: Accurate rotor speed estimation is significant for achieving high-performance control in sensorless induction motor drives, especially under dynamic and low-speed operating conditions. This ...