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Architects' Tech Alliance

Sharing project experiences, insights into cutting-edge architectures, focusing on cloud computing, microservices, big data, hyper-convergence, storage, data protection, artificial intelligence, industry practices and solutions.

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Architects' Tech Alliance
Architects' Tech Alliance
Sep 19, 2026 · Industry Insights

2026 FMS: Flash Memory Industry Shifts to AI Memory Hierarchy with HBM, CXL, and HBF Standards

The 2026 Future of Memory and Storage conference reveals a decisive industry pivot from traditional SSD scaling to AI-centric memory architectures, highlighted by Samsung's zHBM stacking, Kioxia's GPU-direct XL-FLASH SSD, SK Hynix/WD's open HBF standard, and CXL-enabled memory pooling and tiering for next-generation AI data centers.

AI storageCXLFMS 2026
0 likes · 10 min read
2026 FMS: Flash Memory Industry Shifts to AI Memory Hierarchy with HBM, CXL, and HBF Standards
Architects' Tech Alliance
Architects' Tech Alliance
Sep 17, 2026 · Artificial Intelligence

Huawei Atlas 960E SuperPoD: First NPO Super Node for 10-Trillion-Parameter Models

Huawei unveils Atlas 960E SuperPoD, the industry's first super node using Near Package Optics (NPO) technology, scaling to 4,096 Ascend 960 chips delivering 8 EFLOPS FP8 and 16 EFLOPS FP4 for trillion-parameter model training, with 5,500 Hi-ONE optical engines replacing 48,000 modules to cut 550 kW power and achieve 99.8% availability.

AI super nodeAscend 960Atlas 960E
0 likes · 7 min read
Huawei Atlas 960E SuperPoD: First NPO Super Node for 10-Trillion-Parameter Models
Architects' Tech Alliance
Architects' Tech Alliance
Sep 17, 2026 · Artificial Intelligence

Moore Threads MTT C256 Supernode: 256-GPU Single-Layer Scale-Up Architecture & S5000 Chip Deep Dive

Moore Threads unveils the MTT C256 supernode at WAIC 2026, packing 256 GPUs into a single Scale-up network layer with compute-switch integration, breaking the 64-GPU limit. The MTT S5000 chip delivers 95,920 tok/s FP8 throughput, native FP8 KV Cache, and CUDA-source-level MUSA compatibility for heterogeneous prefill/decode inference.

FP8MTT C256MTT S5000
0 likes · 6 min read
Moore Threads MTT C256 Supernode: 256-GPU Single-Layer Scale-Up Architecture & S5000 Chip Deep Dive
Architects' Tech Alliance
Architects' Tech Alliance
Sep 13, 2026 · Artificial Intelligence

Alibaba Panjiu AL128: 128-Chip AI Super Node Achieves Pb/s Bandwidth, Sub-150ns Latency

Alibaba's Panjiu AL128 super node integrates 128 custom Zhenwu M890 AI chips in a liquid-cooled cabinet delivering Pb/s-scale bandwidth and sub-150ns P2P latency, using a decoupled open architecture with ICN Switch 1.0 and ALink System interconnect to boost inference performance 50% over traditional designs.

AI super nodeALink SystemAlibaba
0 likes · 8 min read
Alibaba Panjiu AL128: 128-Chip AI Super Node Achieves Pb/s Bandwidth, Sub-150ns Latency
Architects' Tech Alliance
Architects' Tech Alliance
Sep 12, 2026 · Artificial Intelligence

Ruijie RG-ETH 128 Supernode: Dual Architecture Scales AI Clusters to 1024 GPUs

Ruijie's RG-ETH 128 supernode uses a dual compute-switch architecture with 51.2 Tb/s switch chips to scale from 64 to 128 GPUs per cabinet via Host Tray decoupling, and up to 1024 GPUs across cabinets through 32×800G expansion ports, with a roadmap from 112G copper SerDes to 224G and LPO→NPO→CPO optical interconnects.

AI supernodeGPU clusterHost Tray
0 likes · 7 min read
Ruijie RG-ETH 128 Supernode: Dual Architecture Scales AI Clusters to 1024 GPUs
Architects' Tech Alliance
Architects' Tech Alliance
Sep 11, 2026 · Artificial Intelligence

scaleFabric: IBGDA-Powered GPU-Autonomous Communication Validated at 100K-GPU Scale

Sugon's scaleFabric achieves China's first large-scale IBGDA deployment, letting GPUs directly drive InfiniBand NICs without CPU involvement; validated in 100K-GPU clusters, it eliminates the CPU penalty for small-packet MoE All-to-All communication, cuts latency by two orders of magnitude, and integrates NVMe-over-RDMA and XPU Direct Storage for end-to-end Token acceleration.

All-to-AllGPUDirect RDMAIBGDA
0 likes · 11 min read
scaleFabric: IBGDA-Powered GPU-Autonomous Communication Validated at 100K-GPU Scale