feat: add 10 entries from the 2-day ecosystem sweep

monitors: parallelArchitect/sparkview (GB10 UMA/PSI/power-rail), amer8/pulsebar (macOS).
vllm: jordanovski/overdrive (concurrent-instance orchestrator), technigmaai/dgx-spark (Qwen3.6 recipes).
setup: botAGI/AGmind (one-command private RAG stack). multi-node: vroomfondel/dgxarley (K3s/Ansible 4-node),
hazyumps/deepseek-v4-flash-gb10 (dual-Spark vLLM TP+EP, 384K). audio: mARTin-B78/dgx-spark-faster-qwen3-tts.
benchmarks: marksunner ds4-benchmark + step37-flash (StepFun 198B single Spark).

Author: bidual

README.md

@@ -32,6 +32,7 @@ DGX Spark is a desktop machine built on the GB10 Grace Blackwell Superchip (SM 1
 
 ## Setup & Configuration
 
+- [botAGI/AGmind](https://github.com/botAGI/AGmind) - One-command private RAG stack for DGX Spark (aarch64/GB10), with dual-Spark cluster support and 30+ containers.
 - [GuigsEvt/dgx_spark_config](https://github.com/GuigsEvt/dgx_spark_config) - End-to-end setup for AI workloads on DGX Spark.
 - [JetBrains-Hardware/spark-setup](https://github.com/JetBrains-Hardware/spark-setup) - DGX Spark setup and vLLM deployment scripts for Qwen, GPT-OSS, and Nemotron 3.
 - [natolambert/dgx-spark-setup](https://github.com/natolambert/dgx-spark-setup) - Setup guide focused on ML training (GB10 Blackwell, CUDA 13, aarch64).
@@ -48,8 +49,10 @@ DGX Spark is a desktop machine built on the GB10 Grace Blackwell Superchip (SM 1
 - [eugr/spark-vllm-docker](https://github.com/eugr/spark-vllm-docker) - Docker configuration for running vLLM on dual DGX Sparks with Ray/PyTorch distributed mode.
 - [gyohng/spark-vllm-compose](https://github.com/gyohng/spark-vllm-compose) - Run vLLM on DGX Spark with Docker Compose.
 - [jleighfields/vllm-dgx-spark](https://github.com/jleighfields/vllm-dgx-spark) - Tools for hosting vLLM on DGX Spark.
+- [jordanovski/overdrive](https://github.com/jordanovski/overdrive) - Async TUI, CLI, and web orchestrator for launching, monitoring, and benchmarking concurrent vLLM instances on DGX Spark via NGC containers.
 - [mark-ramsey-ri/vllm-dgx-spark](https://github.com/mark-ramsey-ri/vllm-dgx-spark) - Run vLLM on 1-to-N DGX Spark servers (single Spark, 2 via direct cable, or 3+ via switched fabric) to serve or benchmark LLMs.
 - [spark-arena/sparkrun](https://github.com/spark-arena/sparkrun) - Launch, manage, and stop LLM inference workloads on DGX Spark systems.
+- [technigmaai/dgx-spark](https://github.com/technigmaai/dgx-spark) - vLLM serving recipes for Qwen3.6 (PrismaQuant and NVFP4) on DGX Spark, with chat-template fixes and benchmark notes.
 
 ### llama.cpp
 
@@ -100,6 +103,8 @@ GB10's Blackwell architecture supports NVFP4 (4-bit floating point) in hardware.
 - [bigs/deepseek-v4-flash-dgx-spark](https://github.com/bigs/deepseek-v4-flash-dgx-spark) - Runtime experiments and serving harness for DeepSeek-V4-Flash on a single DGX Spark.
 - [Kleybrink/dgx-spark-bench](https://github.com/Kleybrink/dgx-spark-bench) - Benchmarking framework measuring throughput, latency, VRAM, and accuracy with LLM-as-a-Judge.
 - [lmxxf/deepseek-v4-deployment-on-dgx-spark](https://github.com/lmxxf/deepseek-v4-deployment-on-dgx-spark) - DeepSeek-V4 deployment guide for DGX Spark.
+- [marksunner/dgx-spark-ds4-benchmark](https://github.com/marksunner/dgx-spark-ds4-benchmark) - DeepSeek-V4-Flash distributed across two DGX Sparks with antirez's ds4 engine (pipeline parallel), benchmarked across context lengths.
+- [marksunner/dgx-spark-step37-flash](https://github.com/marksunner/dgx-spark-step37-flash) - Notes on running StepFun's Step 3.7 Flash (198B MoE) on a single DGX Spark with llama.cpp at ~27 tok/s and 128K context.
 - [martimramos/dgx-spark-ml-guide](https://github.com/martimramos/dgx-spark-ml-guide) - Guide to running PyTorch and ML workloads on DGX Spark.
 - [Memoriant/dgx-spark-kv-cache-benchmark](https://github.com/Memoriant/dgx-spark-kv-cache-benchmark) - KV cache quantization on GB10: dequantization cliff (q4_0 −37% gen tps at 110K), unified-memory paradox, prefill immunity.
 - [nabe2030/dense-27b-31b-dgx-spark](https://github.com/nabe2030/dense-27b-31b-dgx-spark) - Benchmark of Qwen 3.5/3.6-27B and Gemma 4-31B on DGX Spark.
@@ -114,8 +119,10 @@ You can connect two DGX Spark units directly over 200 Gb/s QSFP for double the m
 - [ArgentAIOS/dgx-spark-cluster](https://github.com/ArgentAIOS/dgx-spark-cluster) - 2-node setup with EXO inference, NCCL tuning, NVMe-TCP storage, and 200 Gb/s fabric.
 - [bkrabach/dgx-spark-cluster](https://github.com/bkrabach/dgx-spark-cluster) - Dual-node LLM cluster setup kit with Ray + vLLM.
 - [cesarb-ai/dgx-spark-cluster-compass](https://github.com/cesarb-ai/dgx-spark-cluster-compass) - Guide to clustering DGX Spark nodes for multi-node vLLM inference (NCCL, RoCE, Ray).
+- [hazyumps/deepseek-v4-flash-gb10](https://github.com/hazyumps/deepseek-v4-flash-gb10) - Recipe and patches to serve DeepSeek-V4-Flash across two GB10 Sparks with vLLM (tensor + expert parallel over RoCE) at 384K context.
 - [makiisthenes/dgx-spark-multinode-vllm-ray](https://github.com/makiisthenes/dgx-spark-multinode-vllm-ray) - Dual-DGX Spark vLLM deployment with NVIDIA vLLM 26.04, Ray, and 200 GbE QSFP.
 - [pfn/spark-vllm-compose](https://github.com/pfn/spark-vllm-compose) - Multi-node Docker Compose configuration for vLLM on DGX Spark.
+- [vroomfondel/dgxarley](https://github.com/vroomfondel/dgxarley) - Ansible playbooks for a K3s cluster of four DGX Spark nodes and an x86 control plane, running distributed SGLang inference.
 
 ## Image & Media Generation
 
@@ -132,6 +139,7 @@ You can connect two DGX Spark units directly over 200 Gb/s QSFP for double the m
 - [AEON-7/qwen3-asr-server](https://github.com/AEON-7/qwen3-asr-server) - OpenAI /v1/audio/transcriptions server for Qwen3-ASR-0.6B, vLLM-native with sm_120 flash-attn 2, hot-path RTF 16x.
 - [AEON-7/qwen3-tts-server](https://github.com/AEON-7/qwen3-tts-server) - OpenAI /v1/audio/speech server for Qwen3-TTS-1.7B-VoiceDesign with sm_120 flash-attn 2, hot-path RTF 1.30x and free-form voice conditioning.
 - [Logos-Flux/spark-voice-pipeline](https://github.com/Logos-Flux/spark-voice-pipeline) - Real-time voice assistant on DGX Spark achieving ~766 ms latency to first audio.
+- [mARTin-B78/dgx-spark-faster-qwen3-tts](https://github.com/mARTin-B78/dgx-spark-faster-qwen3-tts) - Faster-Qwen3-TTS on DGX Spark (GB10) as an OpenAI-compatible TTS API with CUDA-graph acceleration and four voice backends.
 - [Mekopa/whisperx-blackwell](https://github.com/Mekopa/whisperx-blackwell) - GPU-accelerated WhisperX on Blackwell (sm_121) for DGX Spark.
 - [rappdw/transcribe-dgx](https://github.com/rappdw/transcribe-dgx) - Audio transcription with speaker diarization for DGX Spark using WhisperX.
 
@@ -142,10 +150,12 @@ You can connect two DGX Spark units directly over 200 Gb/s QSFP for double the m
 
 ## Tools & Monitoring
 
+- [amer8/pulsebar](https://github.com/amer8/pulsebar) - Unofficial macOS menu bar monitor that streams GPU and memory telemetry from the DGX Spark dashboard.
 - [ateska/dgx-spark-prometheus](https://github.com/ateska/dgx-spark-prometheus) - Prometheus metrics exporter for DGX Spark clusters.
 - [chronosolidus/dgxsparkmonitor](https://github.com/chronosolidus/dgxsparkmonitor) - Cyberpunk-themed real-time monitoring dashboard for DGX Spark over SSH.
 - [DanTup/dgx_dashboard](https://github.com/DanTup/dgx_dashboard) - Simple monitoring dashboard for DGX Spark.
 - [jasonacox/dgx-spark](https://github.com/jasonacox/dgx-spark) - Tools for the NVIDIA DGX Spark AI personal supercomputer.
+- [parallelArchitect/sparkview](https://github.com/parallelArchitect/sparkview) - Terminal GPU monitor with GB10-aware unified-memory reporting, memory-pressure (PSI) and power-rail readouts, and an anomaly auto-logger.
 - [paul-aviles/NVIDIA-DGX-Spark-Dashboard](https://github.com/paul-aviles/NVIDIA-DGX-Spark-Dashboard) - Browser-based monitoring dashboard for DGX Spark nodes.
 - [thx0701/dgx-spark-status](https://github.com/thx0701/dgx-spark-status) - Real-time system monitoring dashboard built with SvelteKit and SSE.