Chinese contentDeepSeek 据报参与设计华为下一代 AI 芯片
DeepSeek 在帮华为造不用 Nvidia 也能训前沿模型的国产芯片，TileLang 还负责跨平台切换，这条供应链动向很关键。
#TileLang
8 stories · 1 in 7 days · 7 in 30 days
Stories, products and papers tagged "TileLang", newest first.
Oct 20
Oct 4
DeepSeek V4-Flash Throughput questioned in 72 TPS deployment test
The gap between a vendor's reported per-GPU throughput and an independent reproduction is a practical signal for anyone sizing inference deployments and budgeting GPU counts. Engineers benchmarking V4-Flash or similar open-source models can use this comparison to sanity-check vendor claims before committing hardware. The mention of TileLang kernels also points to where custom-kernel optimisation may matter most.
Oct 1
DeepSeek open-sources six Huawei projects
This move significantly reduces dependency on Nvidia chips for AI training, potentially reshaping hardware competition in China. Developers can now optimize models for Ascend chips using DeepSeek's tools, though the licensing status of some projects limits immediate adoption. The timing coincides with Huawei's expected delivery of training chips this quarter.
Sep 30
DeepSeek releases Ascend versions of TileLang
This collaboration represents a significant integration of Chinese AI software with domestic hardware, potentially reducing reliance on foreign technologies. Developers working with Ascend hardware can now leverage these optimized tools for improved performance, while the SuperPoD Flex design offers a scalable solution for large-scale AI deployments in China's growing AI ecosystem.
DeepSeek open sources TileLang for Huawei Ascend
This move expands DeepSeek's hardware ecosystem beyond NVIDIA, potentially reducing dependency on US chip suppliers. For developers in China and regions using Huawei hardware, this provides a high-performance alternative for AI model training. The open-source components could accelerate AI development in regions with limited access to NVIDIA technology.
Jul 26
Chinese content用TileLang设计高性能GPU内核：Tensor-Core GEMM、融合Softmax与FlashAttention教程
想写GPU内核但被CUDA细节劝退？TileLang用Python帮你搞定Tensor-Core GEMM和FlashAttention，自动处理线程映射和调优，省心。
