Ollama 强调本地化部署和用户友好性，适合注重隐私保护和简单操作的场景；而 vLLM 则专注于高性能推理和可扩展性，能够满足高并发、大规模部署的需求。选择适合的工具需要综合考量用户的技术背景、应用需求、硬件资源以及对性能和易用性的优先级。

Huawei Technologies is preparing to mass-ship a pair of advanced artificial intelligence chips – the Ascend 910C and upcoming Ascend 920 – marking a big moment in the global AI hardware arena. These ...

Researchers have achieved a major leap in quantum computing by simulating Google’s 53-qubit Sycamore circuit using over 1,400 ...

Huawei has announced its plans to begin mass shipments of its advanced Ascend 910C artificial intelligence (AI) chip to ...

The new chip offers double the computing power of Huawei's 910B, for a performance comparable to the Nvidia H100 chip. Here's ...

Huawei Technologies, reportedly, intends to start mass shipments of its advanced 910C AI chip to Chinese customers as early ...

Recently, researchers have achieved a groundbreaking milestone in quantum computing by successfully simulating Google's 53-qubit, 20-layer Sycamore ...

杰文斯悖论是指技术进步提高了资源利用率之后，资源消耗总量不降反升。好比当年的蒸汽机效率提升，单位动力耗煤下降，但煤炭总消耗量却因蒸汽机应用场景扩展而激增。这种现象在高速发展的科技领域是普遍存在的，自然也包括DeepSeek在工程层面带动AI效率的提升 ...

Dell Technologies, Lenovo and Supermicro executives explain to CRN how they are adapting to Nvidia’s annual AI chip release ...

适用于消费级显卡（如 RTX 4090）部署 7B-13B 模型。 多 GPU 张量并行：支持分布式部署，例如在 4 块 A100 GPU 上运行 70B 参数模型。 CUDA 优化：使用 CUDA/HIP 图（CUDA Graphs）加速模型执行。 -高性能 CUDA 内核优化，减少计算延迟。 易用性相关 5. 易用性与兼容性 与 Hugging ...

Abstract: The demand for powerful GPUs continues to grow, driven by modern-day applications that require ever increasing computational power and memory bandwidth. Multi-Chip Module (MCM) GPUs provide ...