Deep technical write-ups from the TensorFact infrastructure team on GPU kernel optimization, distributed inference, and Model Context Protocol architectures.
How we redesigned tensor parallelism communication over NVLink 5.0 and implemented custom FP8 GEMM kernels with low-rank factor decomposition, achieving 68 tokens/sec per stream on 405B parameter models.
Read Article →A comprehensive guide to building stateful multi-agent systems using the open Model Context Protocol. Learn how to prevent context drift and sandbox tool execution safely.
Read Article →Decomposing convolutional and transformer projection weights into low-rank factor matrices to run trillion-parameter models on edge hardware.
Read Article →Empirical evaluation across DeepSeek-V3, Llama 3.3, and Qwen 2.5 on NVIDIA H100 and B200 GPUs. Analysis of MMLU scores vs memory throughput.
Read Article →How to architect confidential computing enclaves with AMD SEV-SNP and NVIDIA CC to guarantee zero data leakage for financial and healthcare compliance.
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