Tag: EXL3
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Five Spark Clusters, Two Kinds of Proof: TP5 GLM-5.3 Runs as Beam Sets the Efficiency Bar
by Chris DePuy, 650 Group / October 6, 2026 Five DGX Sparks now carry the full 753-billion-parameter GLM-5.3: an operator reported the first working five-board tensor-parallel build on Monday, with 1.5 million tokens of KV cache, prefill above 2,000 tokens per second, and 76 tokens per second single-stream — rising to 98–113 tokens per second…
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New TensorFold LLM Model Serving Software Dramatically Improves Decode Speed on Macs and Sparks
by Chris DePuy, 650 Group / September 27, 2026 Two repositories shipped from one maintainer this week and made the same promise in two different places. On September 25 and 26, a developer publishing under the name Ash Hart released TensorFold, a local inference engine for Apple Silicon and NVIDIA GPUs, and Imprint, a tool…
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GLM-5.3-Flash on a Single DGX Spark: Three Community Quantizations Fit Where the Vendor’s Does Not
by Chris DePuy / September 13, 2026 On September 9, NVIDIA published an official NVFP4 quantization of Z.ai’s GLM-5.3-Flash. Its Model Optimizer recipe leaves the key-value cache at FP8 and compresses only the linear layers inside the transformer blocks — the sparse-MoE shared experts and the dense MLP — from 16 bits down to 4,…
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Day One on Three and Four Sparks: Community Recipes Put DeepSeek-V4.1-Flash on the Desk
by Chris DePuy / September 12, 2026 On September 10, DeepSeek released DeepSeek-V4.1-Flash, a multimodal mixture-of-experts model with a 552-billion-parameter backbone and a context window of one million tokens. The launch kits for NVIDIA’s desk-side DGX Spark machines arrived the same day: a four-machine stack on vLLM was serving requests by 9:17 Eastern time, roughly…