#dgx-spark — Blog

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datereadtitle
2026-09-2817m
[DGX Spark] Qwen3.8-Flash-Next on two DGX Sparks: 51.9 to 72.0 tok/s, and a draft vocabulary built from my own text
#dgx-spark #qwen3.8-flash-next #vllm #mtp
2026-09-1416m
[DGX Spark] Two hard power-offs, reproduced on purpose — the fix, and why we turned it off again
#dgx-spark #gb10 #thermal #hardware
2026-09-1424m
[Video] MiniMax H3 Super Acceleration on a DGX Spark: 2x native cold, 3.14x warm
#dgx-spark #gb10 #minimax-h3 #ltx-2.5
2026-09-1219m
[vLLM] Qwen3.8-Flash-Next TP=2 on Two DGX Sparks: 51.9 tok/s
#dgx-spark #vllm #tensor-parallel #qwen3.8-flash-next
2026-09-0623m
[Benchmark] Qwen3.8-Flash-Next NVFP4 on a DGX Spark: 41.7 tok/s, RAM for Traffic, Disk for the Dictionary
#dgx-spark #gb10 #vllm #nvfp4
2026-08-3023m
[Benchmark] GLM-5.3-Flash 320B on One DGX Spark: 15.4 tok/s with Vision Working
#dgx-spark #gb10 #glm-5.3 #llama.cpp
2026-08-2816m
[Benchmark] A 177B MoE at Full 262K Context on a DGX Spark: 76.65 tok/s on a File Edit
#dgx-spark #gb10 #llama.cpp #moe
2026-08-2320m
[Benchmark] Qwen3.8-27B hits 65 tok/s on one DGX Spark — 12.3 without speculative decoding
#dgx-spark #gb10 #sm121 #nvfp4
2026-08-0723m
[Benchmark] Running MiniMax-H3 on a DGX Spark — and why NVIDIA VSR is off the table for now
#dgx-spark #gb10 #minimax-h3 #comfyui
2026-08-0212m
[DeepSeek-V4-Flash] A frontier-class open model on hardware you own: running DeepSeek-V4-Flash-0731 on a DGX Spark
#deepseek-v4-flash #0731 #dgx-spark #gb10
2026-07-2918m
[Junk-Tier Big Models #3] A 284B MoE on ONE 2080 Ti — and it beats my DGX Spark
#deepseek-v4-flash #moe #2080-ti #llama.cpp
2026-07-2515m
[DeepSeek-V4-Flash] The Engine Upgrade That OOM'd My DGX Spark — and Why I Rolled It Back
#deepseek-v4-flash #dgx-spark #ds4 #oom
2026-07-2112m
[DeepSeek-V4-Flash] Swapping the ds4 Engine for a Free Half-Generation Speedup on One DGX Spark
#deepseek-v4-flash #dgx-spark #ds4 #speculative-decoding
2026-07-1011m
[Local LLM] How to tell if a hyped LLM optimization is real on your hardware: read the source, find the ceiling, run one experiment
#dgx-spark #gb10 #deepseek-v4-flash #methodology
2026-07-0912m
[Local LLM] FlashMemory can't improve DeepSeek-V4-Flash's own lightning indexer — I retrained it on my exact Q2 and it still lost
#dgx-spark #gb10 #deepseek-v4-flash #kv-cache
2026-07-078m
DGX Spark in 2026: What Still Works, What Broke, and What I'd Run Today
#dgx-spark #gb10 #gemma-4 #vllm
2026-07-0712m
[Local LLM] Why a 284B fits a 128GB GB10 at long context: DeepSeek-V4-Flash attacks the KV cache, not the parameter count
#dgx-spark #gb10 #deepseek-v4-flash #kv-cache
2026-07-0610m
[Local LLM] Depth-1 MTP on V4-Flash: +9% on agent turns, −4% on prose — route speculative decode by workload
#dgx-spark #gb10 #deepseek-v4-flash #speculative-decoding
2026-07-0512m
[Local LLM] My 284B agent quietly stopped reusing its KV cache — the ds4 evict storm that re-paid prefill every turn
#dgx-spark #gb10 #deepseek-v4-flash #kv-cache
2026-06-2110m
Directional Steering on an Abliterated DeepSeek-V4 (DGX Spark): the same scalpel as abliteration, and why the second cut fights back
#deepseek-v4 #directional-steering #activation-steering #abliteration
2026-06-1310m
[vLLM] DiffusionGemma 26B NVFP4 on a DGX Spark: 158 tok/s, and why diffusion tok/s lies
#dgx-spark #gb10 #diffusiongemma #diffusion-llm
2026-06-127m
[Local LLM] Weights win: a 284B crushed to 2-bit still beats the small model that fits
#dgx-spark #gb10 #deepseek-v4-flash #quantization
2026-06-1214m
[Local LLM] Running a 15 tok/s 284B as your daily agent brain — the settings that make it bearable
#dgx-spark #gb10 #deepseek-v4-flash #kv-cache
2026-06-1210m
[Local LLM] My first Q2 model looked broken on a 128GB box — the real culprit was a parser that couldn't read DSML, not the quantization
#dgx-spark #gb10 #deepseek-v4-flash #ds4
2026-06-1116m
[Benchmark] Qwen3.5-122B on DGX Spark — 2× faster
#qwen3.5 #dgx-spark #gb10 #gdn
2026-06-059m
[Benchmark] NVFP4 Weight-Only Quantization Taxes Chinese ~2x Harder Than English (gemma-4-12B)
#dgx-spark #gb10 #gemma-4 #nvfp4
2026-06-046m
[Benchmark] Gemma 4 12B Omni on DGX Spark: Weight-Only NVFP4 Beats W4A4 (and Keeps Multimodal)
#dgx-spark #gb10 #gemma-4 #nvfp4
2026-06-0212m
[AI Agent] My Local Agent Flailed at Image Gen — It Was the Harness, Not the Weights
#ai-agent #aci #harness #comfyui
2026-06-019m
[Benchmark] NVFP4 shrinks a video model 33% on a DGX Spark — with zero speed gain
#nvfp4 #sulphur-2 #ltx-2.3 #dgx-spark
2026-06-0110m
[Benchmark] NVFP4 W4A4 beats FP8 on a DGX Spark MoE: 67 vs 52 tok/s once CUDA graphs fire
#nvfp4 #w4a4 #fp8 #dgx-spark
2026-05-309m
NVFP4 is 1.5× FP8 on a DGX Spark — but it's compression, not the FP4 cores
#nvfp4 #fp8 #dgx-spark #gb10
2026-05-2110m
Round 2 EAGLE-3 retrain didn't break the ceiling — a 60-hour null-result writeup
#gemma-4 #abliteration #eagle-3 #speculative-decoding
2026-05-1614m
EAGLE-3 fine-tune against an abliterated Gemma 4 body — Round 1 flattens the acceptance curve (plus a measurement lesson)
#gemma-4 #abliteration #eagle-3 #speculative-decoding
2026-05-146m
30 lines of docker for +34% on DGX Spark: huihui Gemma 4 FP8 + vanilla MTP n=1 deployment recipe
#gemma-4 #abliteration #mtp #speculative-decoding
2026-05-0914m
Want MTP speedup on abliterated Gemma 4? Vanilla draft can't track the modified body
#gemma-4 #abliteration #mtp #speculative-decoding
2026-05-0615m
Liftoff: Gemma 4 hits 670 tok/s aggregate on DGX Spark (108 tok/s single-stream)
#gemma-4 #mtp #speculative-decoding #vllm
2026-05-0415m
[Field Guide] Z-Image Turbo — does choosing a faster config hurt quality? LPIPS + CLIPScore answer
#z-image #comfyui #nvfp4 #fp8
2026-05-0412m
[Field Guide] Z-Image Turbo — choosing the right config (1.37× faster, 44% less RAM)
#z-image #comfyui #nvfp4 #fp8
2026-05-0113m
[vLLM] Watching English Videos with DGX Spark: Nemotron Omni Multimodal on GB10
#nemotron-omni #multimodal #vllm #dgx-spark
2026-05-0114m
[vLLM] Nemotron 3 Nano on DGX Spark: 74.75 tok/s NVFP4 — 11.5% Past the Public Baseline
#nemotron-3 #nvfp4 #vllm #dgx-spark
2026-04-289m
[SWE-bench] Where Qwen 3.6 35B Loses on SWE-bench Lite: Anatomy of 155 Unresolved Tasks
#swe-bench #qwen-3.6 #gemma-4 #failure-analysis
2026-04-2814m
[llm-compressor] Self-Quantizing a 35B Abliterated MoE to FP8 on DGX Spark: 4 OOMs, 3 Prefix Bugs, and Why the First Success Wasn't Actually FP8
#dgx-spark #gb10 #sm121 #llm-compressor
2026-04-268m
[Benchmark] Abliteration Costs 1.85pp on Traditional Chinese — and 7.7pp on Trust Law
#tmmlu+#abliteration #traditional-chinese #qwen-3.6
2026-04-257m
[Benchmark] TMMLU+ Paired Eval: Qwen 3.6 35B Sweeps Gemma 4 26B 51-of-51 on Traditional Chinese
#tmmlu+#traditional-chinese #qwen-3.6 #gemma-4
2026-04-2214m
[Hands-On] Making NVFP4 17% Faster on GB10 with a Triton FP8 Bypass
#nvfp4 #fp8 #triton #dgx-spark
2026-04-218m
[Benchmark] NVFP4 Is a Trap on GB10: FP8 Wins by 32% (vLLM + SGLang Tested)
#nvfp4 #fp8 #dgx-spark #gb10
2026-04-207m
[Benchmark] Same Scaffold, Three Models: 16% → 38% → 48% on SWE-bench Lite
#swe-bench #gemma-4 #qwen-3.6 #scaffold
2026-04-1712m
[Benchmark] SWE-bench Lite 38.67% with a 26B Local Model — 0.33% from Claude 3.5 Sonnet Scaffolds
#swe-bench #gemma-4 #mini-swe-agent #vllm
2026-04-137m
[AI Agent] Gemma 4 Went from 40 Errors to a 9-Step Bug Fix — by Switching One Thing
#swe-bench #gemma-4 #qwen-3.5 #openhands
2026-04-136m
[Benchmark] Gemma 4 on DGX Spark — Which Model Should You Pick?
#gemma-4 #dgx-spark #gb10 #benchmark
2026-04-138m
[DGX Spark] From Unboxing to Running: Complete Deployment Guide
#dgx-spark #gb10 #gx10 #vllm
2026-04-089m
[Benchmark] 4 Machines, 4 Models, 1 Answer: Memory Decides Everything
#gemma-4 #rtx-5090 #dgx-spark #gb10
2026-04-078m
[Benchmark] Gemma 4 E2B vs E4B: 81 tok/s vs 52 on Three Machines — Bandwidth Is Everything
#gemma-4 #e2b #e4b #ollama
2026-04-079m
[Benchmark] From 19 to 50 tok/s: We Quantized Gemma 4 E4B to NVFP4 Before Anyone Else
#gemma-4 #e4b #nvfp4 #fp8
2026-04-056m
[Benchmark] Gemma 4 31B Dense on DGX Spark: 7 tok/s and the Bandwidth Wall
#gemma-4 #nvfp4 #vllm #dgx-spark
2026-04-058m
[Benchmark] vLLM vs Ollama on the Same Model: Why 30% Faster on GB10
#vllm #ollama #benchmark #dgx-spark
2026-04-059m
Gemma 4 26B-A4B on DGX Spark: 52 tok/s with NVFP4, skip the 31B
#gemma-4 #nvfp4 #vllm #dgx-spark
2026-04-026m
[DGX Spark] Overheating, 100W Power Cap, 30W Safety Mode — Complete Diagnostic Guide
#gx10 #gb10 #dgx-spark #power-delivery
2026-03-238m
[AI Agent] How to Install NemoClaw on DGX Spark (4 Undocumented Fixes)
#nemoclaw #openclaw #openshell #ai-agent
2026-03-235m
[AI Agent] What Is NemoClaw? NVIDIA's AI Agent Framework for DGX Spark Explained
#nemoclaw #openclaw #openshell #ai-agent
2026-03-216m
[vLLM] FP8 KV Cache on GB10: Why Outputs Collapse into Repetition Loops
#vllm #fp8 #kv-cache #gb10
2026-03-1912m
[vLLM] Running a 120B Model on DGX Spark at 60 tok/s — Zero API Cost, Six Bugs
#dgx-spark #sm121 #vllm #gpt-oss
2026-03-197m
[vLLM] Qwen3.5-122B Runs. But at 14 tok/s.
#dgx-spark #sm121 #qwen3.5-122b #vllm
2026-03-1711m
[vLLM] Why Your DGX Spark Only Says "!!!!!": Debugging NVFP4 on SM121
#dgx-spark #sm121 #vllm #nvfp4
2026-03-1310m
[vLLM] Nemotron-3-Super-120B on a Single GB10: Full Day Debug Log
#dgx-spark #gb10 #sm121 #nemotron
2026-03-078m
[vLLM] Ollama's KEEP_ALIVE Is Silently Eating Your vLLM Headroom
#vllm #ollama #gpu-memory #dgx-spark
2026-03-067m
[vLLM] Don't Add --enable-chunked-prefill to SSM Models
#vllm #ssm #qwen #dgx-spark
2026-03-0511m
[vLLM] Qwen3.5-35B at 47 tok/s on DGX Spark: Ollama to vLLM Migration Guide
#dgx-spark #gb10 #vllm #ollama
2026-03-0510m
[AI Agent] Zero API Cost: Running OpenClaw on DGX Spark + Mac Mini
#openclaw #ai-agent #dgx-spark #mac-mini
2026-03-018m
[Benchmark] Pure MoE vs SSM Hybrid: Context Decay and Why It Matters for Agents
#benchmark #ssm #moe #dgx-spark
2026-02-1911m
[Benchmark] 8 Models on DGX Spark: Finding the Best Stack for AI Agents
#dgx-spark #gb10 #ollama #benchmark

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