Whether you want to get started with image generation or tackling huge datasets, we've got you covered with the GPU you need for deep learning tasks.
👏微软亚洲研究院在NeurIPS ENSLP 2024获最佳论文奖!在NeurIPS 2024 ENSLP workshop这个专注于模型效率提升的研讨会上,微软亚洲研究院名为《Retrieval Attention: Accelerating Long-Context LLM Inference via Vector Retrieval》的论文荣获最佳论文奖(Best Paper Award)。该研究创造性地提出使用向量索引来动态检索最关键...
Supermicro GPU systems offer industry leading processing power for 5G infrastructure, AI and HPC. Featuring the latest NVIDIA ampere GPU platforms.
以o1 为起点,由于模型推理能力的增强,以及软件公司用 LLM 开发新产品或进行自我改造的积极性提升,推理需求指数级增长让今年下半年以来 CSP ASIC 显著受益,CSP 离下游需要推理的客户群体更近,Amazon、Google、微软等大厂都在通过自有芯片研减少对 GPU 的依赖。 2025 年 Inference 作为硬件板块的核心命题不会改变,考虑...
以o1 为起点,由于模型推理能力的增强,以及软件公司用 LLM 开发新产品或进行自我改造的积极性提升,推理需求指数级增长让今年下半年以来 CSP ASIC 显著受益,CSP 离下游需要推理的客户群体更近,Amazon、Google、微软等大厂都在通过自有芯片研减少对 GPU 的依赖。
1)batch size:一般来说,使用GPU允许的最大batch是这里的最佳策略。 2)Batch normalization:在小批量中标准化化激活可以加快收敛并提高模型性能, 3)Learning Rate Scheduling,高学习率可能导致损失振荡或发散,导致损失峰值。通过将学习率安排为随着时间的推移而降低,可以将更新的幅度逐渐减小并提高稳定性。常见的schedulin...
FlexGen Running large language models on a single GPU for throughput-oriented scenarios. Flowise Drag & drop UI to build your customized LLM flow using LangchainJS. llama.cpp Port of Facebook's LLaMA model in C/C++ Infinity Rest API server for serving text-embeddings Modelz-LLM OpenAI co...
The best GPU for mining crypto overall is still the Nvidia GeForce RTX 5080, which proved an excellent all-rounder for performance and price. For those just starting out, I also like the RTX 3060 here, which is a great pick for those on a budget, since it comes with 12GB of fast ...
FlexGen Running large language models on a single GPU for throughput-oriented scenarios. Flowise Drag & drop UI to build your customized LLM flow using LangchainJS. llama.cpp Port of Facebook's LLaMA model in C/C++ Infinity Rest API server for serving text-embeddings Modelz-LLM OpenAI co...
BIZON G3000 starting at $3,090 – 2x GPU 4x GPU AI/ML deep learning workstation computer. 2025 Deep learning Box. Computer optimized for NVIDIA DIGITS, TensorFlow, Keras, PyTorch, Caffe, Theano, CUDA, and cuDNN. In stock.