Meta's Llama 3.1 405B model is no longer hosted by any public inference provider, according to a guide on a11ce.com, which provides instructions for running the model on an on-demand GPU instance for …
Sandisk taped out its first High Bandwidth Flash (HBF) memory die, a milestone announced at its 2026 Investor Day on August 13, with first HBF inference product samples targeted for 2027. The first-ge…
SanDisk's High Bandwidth Flash technology delivered 12.8 TB/s of memory bandwidth with 4 TB of capacity per GPU in simulation, closing to within 2.2% of HBM bandwidth for inference workloads. The stac…
SanDisk and SK hynix introduced High Bandwidth Flash (HBF), a new memory standard combining NAND flash with wafer bonding to deliver HBM-level read bandwidth at 8 to 16 times the capacity, targeting A…
AirLLM, an open-source inference library, claims to run a 70B-parameter large language model on a 4GB GPU without quantization, distillation, or pruning. The claim is technically true, achieved by loa…
AirLLM, an Apache-2.0 Python library, enables running large language models like Llama 3.1 405B on 8GB of VRAM and DeepSeek-V3 671B on ~12GB without quantization, by streaming one layer or MoE expert …
Claude 3.5 Sonnet is currently the hardest large language model to jailbreak due to its strong attention mechanism and resistance to persona-shift attacks, according to a Machine Learning Forum discus…
Sakana AI launched Sakana Translate, a free web-based translation tool powered by its Namazu model series, supporting bidirectional translation among Japanese, English, and Chinese. The tool offers th…
Hugging Face's inference provider information for Meta's Llama 3.1 405B model may be outdated, as the listed provider Featherless AI returns errors and does not show the model as available. A similar …
NVIDIA's Blackwell platform swept MLPerf Training 6.0, achieving the fastest training times across all seven benchmarks, scaling to 8,192 GPUs on DeepSeek-V3 671B, and delivering up to 1.6x performanc…
NVIDIA's DGX Spark workstation can be linked via a single 200 GbE cable to form a two-node AI cluster, aggregating 256 GB of unified memory to run frontier-scale models like Llama 3.1 405B locally. Th…