Tag: RDMA
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NVIDIA Throws Official Support Behind Eight-Node DGX Spark Clusters
by Chris DePuy, 650 Group / November 2, 2026 NVIDIA has announced official support for eight-node DGX Spark clusters. The configuration scales unified memory from 128 GB on one machine to 1 TB across eight. As a result, frontier-class models fit on the desk. The company detailed the configuration, the benchmark data, and the supporting…
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TensorFold 1.0.0 and Multi-Model gr8: Two Release Notes Date the Desk-Side Stack
by Chris DePuy, 650 Group / November 3, 2026. On November 2, the TensorFold Mac application and the gr8 cluster stack, two community inference projects this blog has followed all autumn, published release notes that move this hardware tier toward installed software. Ash Hart, the maintainer of the TensorFold Mac application, announced version 1.0.0, “our…
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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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The Spark Fleet Learns to Run Itself
by Chris DePuy, 650 Group / October 21, 2026 The last month of desk-side serving stories were about engines. Athena put two frontier models on one 128 GB box at 262K context with a 141,519-token conversation restored from disk in 2.1 seconds; Imprint turned that same restore trick into a standalone context-cache service with a…