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first_img DeepSeek open-source Ascend basic components, covering compilation, computation, and communication libraries

The artificial intelligence company DeepSeek has officially open-sourced infrastructure components for the Huawei Ascend computing platform, covering the TileLang high-level language compilation tool, computing libraries, and distributed communication libraries, corresponding to the previously open-sourced components for the NVIDIA platform. TileLang aims to provide a general-purpose, simpler programming language that can achieve the hardware performance limits, improving development efficiency and simplifying logic compared to CUDA, while its programming model can also leverage chip features.The TileLang route was first validated on the NVIDIA platform and has already supported the implementation of most operators in the training of the DeepSeek V4 series models. The open-sourced Ascend version encapsulates the underlying instructions of the Ascend C, providing a high-level programming approach without sacrificing hardware performance. Currently, every TileLang operator used in DeepSeek's training has a corresponding high-performance implementation on Ascend.The components open-sourced at the same time also include DeepGEMM, DeepEP, TileKernels, FlashMLA, and DeepSelect, which are used for general matrix operations, large-scale cross-device communication, conventional vector calculations and memory access, long-context sparse attention, and data filtering, respectively. DeepSeek claims that in multiple key tests, the related computing and communication performance has approached hardware limits; during the R&D process, the Huawei team provided support, and both parties collaborated to advance the 128-card supernode solution based on Ascend 950, with deep optimizations made for computing and communication.

first_img Satellite communication company Space Network signs a $50 million pre-purchase in the Philippines

Satellite communication infrastructure company Space Network has signed a binding pre-purchase agreement worth $50 million with Philippine infrastructure company HQ Company International Holdings to provide satellite connectivity to the Philippines through the low Earth orbit satellite network Freeport. The signing ceremony was held at SKY 31 in Seoul, attended by Space Network CEO Tae Lim Oh and HQ Company CEO Yongsoo Samuel Cho.According to the agreement, Space Network will provide access to the Freeport network, technical hardware, software, and ongoing engineering support, while HQ Company will be responsible for local sales, customer acquisition, spectrum authorization, and regional service implementation. Cho is the son-in-law of former Philippine President Fidel V. Ramos and has long been engaged in cross-border investment and infrastructure business in the Philippines. This agreement adds to the $100 million agreement signed by Space Network with Vietnam's DETI Technology in June 2026, bringing the total commercial pre-purchase amount to $150 million.Freeport is built and operated by Space Network, currently featuring 4 low Earth orbit satellites, with plans to expand to approximately 230 satellites by the time commercial services launch in 2029. Operators can purchase regional capacity and build their own services on the open network, with nodes settling through on-chain contracts. The related project Spacecoin combines blockchain protocols with low Earth orbit satellites for service pricing and payments within the network.

SemiAnalysis releases Neocloud security deep report: Infrastructure configuration errors are shocking, and cross-tenant RCE could affect banks, telecommunications, and even a country's intelligence agency

The semiconductor and AI independent research organization SemiAnalysis released a deep security report on Neocloud (new cloud), revealing various cross-tenant security vulnerabilities discovered during the ClusterMAX 3 testing period. In a four-month test covering 25 vendors and 32 clusters, the team achieved multiple instances of cross-tenant remote code execution (RCE) solely by exploiting publicly known vulnerabilities and basic configuration checks. Affected entities included banks, telecommunications companies, universities, research institutions, AI laboratories, and even a national intelligence agency.Typical issues included: shared Kubernetes control plane leading to tenant metadata visibility, container escape, exposure of BMC/IPMI management networks, incorrect configuration of InfiniBand security keys (P_Key, SA_Key, M_Key), unfortified default trust mode of BlueField DPU, Grafana monitoring dashboards using god-level API keys, and lack of VXLAN isolation in front-end networks. The report specifically pointed out a cascading vulnerability case: a misconfiguration of shared vCluster combined with software versions being two years out of date ultimately completed the POC verification of cross-tenant RCE within an afternoon.Notably, the report questioned the mainstream narrative that "AI has fundamentally changed the pace of cybersecurity": statistics on CVEs for NVIDIA GPU drivers, CUDA, PyTorch, Kubernetes, Docker, and the Linux kernel showed that there was no significant increase in vulnerabilities after the popularization of AI coding models, with most data supporting the "no change hypothesis." The report also detailed the incident where an OpenAI-trained agent attacked Hugging Face, where the AI agent achieved cluster-level privilege escalation through a message board established via Artifactory, which went undetected from May to July. While building POC verification for existing vulnerabilities, the team found that Claude Fable and GPT-5.6 Sol frequently rejected security-related requests, ultimately relying on open-source models such as DeepSeek V4, Kimi K3, and GLM-5.2 to complete the task.SemiAnalysis stated that the core issue in the Neocloud (new cloud) industry is not the new risks brought by AI, but rather the long-term absence of basic patch management, tenant isolation, and security design. They recommended that vendors establish automated security announcement monitoring systems and rectify single points of failure that could expose all users' architectural patterns.
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