Tag: MoE
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New GLM-5.3 on Four DGX Sparks: Results and Media Studio
On October 16, a community recipe put the full GLM-5.3 on four DGX Sparks, at tensor parallelism 4. The model is GLM-5.3 (753B), and the four NVIDIA DGX Spark units run it. Underneath is gr8, a from-scratch inference stack for the GB10 processor. The same weekend, keys/Wasserman AI Studio announced release 2.8.0 for Mac and…
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DeepSeek Open-Sources DeepInfer, NVIDIA Answers Quietly With Flare
by Chris DePuy, 650 Group / October 22, 2026 In the early hours of October 20, Pacific time, DeepSeek announced DeepInfer, its in-house inference framework, as fully open source under the Apache 2.0 license. DeepInfer is the stack that powers DeepSeek-V4.1-Flash at scale in the company’s own production services. The four-post thread laid out the…
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DeepSeek-V4.1-Flash on Four DGX Sparks: The Profile Day One Only Configured Now Boots, Serves and Passes a Million-Token Needle Test
by Chris DePuy / September 14, 2026 Late Sunday evening Pacific time, Mia AI Lab pushed a four-rank serving profile for DeepSeek-V4.1-Flash to its DGX Spark recipe, the same lab whose September 13 post on X put the model on four DGX Sparks and invited readers to run the stack themselves. The significance is not…
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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…
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Nemotron 3.5 Lightning: NVIDIA Carves Out an Agent Execution Layer for the Desk-Side
by Chris DePuy / August 12, 2026 NVIDIA this week released Nemotron 3.5 Lightning, an open 30B MoE model with just 3B active parameters, and I think it is the clearest signal yet that the deskside inference market is splitting into two distinct tiers. The model is built for the high-volume execution layer of long-running…
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GLM-5.3-Flash Day Two: DFlash 2 Attacks the Decode Path While 1M-Context KV Moves Onto Two DGX Sparks
by Chris DePuy / August 28, 2026 A day after Z.ai opened weights on GLM-5.3-Flash, the desk-side community pushed the model past what I thought was its practical limit on small hardware. Two bottlenecks — the decode path and the KV cache — were attacked in parallel, and both moved in the same 24 hours.…
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DeepSeek V4 Flash 0731 on the Multi-Node DGX Spark: From One Pair to an Eight-Node Cluster
by Chris DePuy / August 4, 2026 When DeepSeek shipped the official DeepSeek-V4-Flash-0731 weights on July 31, the community benchmarks that followed concentrated on single and dual DGX Spark units. Over the past several days a more interesting pattern has emerged as the same checkpoint moves up the cluster ladder, from a single GB10 to…