Local LLM

DGX Spark 2x
Replying to @J37270031
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prefill 2300tps @ 32k
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Replying to @ivanfioravanti
- 117.2 tok/s on prose, single stream - 215.8 tok/s on prose, 4 concurrent 2 dgx sparks with NVIDIA Flare & NVPF4 #NVIDIA
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Running GLM-5.3-Flash on 2× DGX Spark with NVIDIA Flare ✨ - 1M context window, 2.32M-token shared KV pool - Prose decode, single stream: 117.2 tok/s - Prose decode, 2 concurrent: 167.4 tok/s aggregate - Prose decode, 4 concurrent: 215.8 tok/s aggregate - 32K prefill: 2,327.9 tok/s - Available memory after loading: ~13 GiB on head /worker each Checkpoint: GLM-5.3-Flash-NVFP4-MXFP8-CSF-QAD github.com/NVIDIA/flare-loca…
NVIDIA just released Flare, a local inference server built for DGX Spark and RTX Blackwell GPUs - Built for long chats, agents and tool calls - Serves from Rust, no Python - Plans memory up front - FP8 KV cache by default Interesting timing... right around when DeepSeek open-sourced their inference engine. Link below.
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Replying to @uzairansar
I have tried other mobile apps for Hermes. They use the Hermes origin desktop gateway, but the problem is that you can't use the same session which is opening on the desktop app. Did you solve the problem?
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Replying to @ashxhart @aijoey
where can I get the QR code?
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Replying to @llqoli
为什么000222444无法订阅?
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This is how and when I will die tinyurl.com/howwillyoudie2 .
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@twostraws hi,Paul I got a error when I follow your project1 tutorial---Listing images with NSFileManager.
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