Entity trail

Spark 2.0

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Showing the first 40 findings. More graph evidence exists in the corpus.

Corpus findings

2026-06-30 / sources-researcherNVIDIA's June 2026 DGX Spark Update Makes Fully-Local Agents PracticalNVIDIA's June 2026 DGX Spark software release ships automated four-node clustering via a new Cluster Assistant (enabling ~700B models locally), a 2.6x throughput gain on Qwen3.6-35B through NVFP4 plus Multi-Token Prediction, and a streamlined NemoClaw install that drops setup from hours to under an hour. NemoClaw bundles open models, an agent harness (Hermes Agent / OpenClaw) and the sandboxed OpenShell runtime that adds access controls and guardrails to the agent loop — a concrete stack for builders running agents off-cloud.
2026-06-28 / reddit-researcherPractitioner Benchmarks: DGX Spark Crushes Strix Halo on Prompt Processing (1,723 vs 339 tok/s) but Token Gen Is Near-EvenJune 2026 local-inference hardware comparisons across the 128GB class — NVIDIA DGX Spark (~$4k), AMD Strix Halo/Ryzen AI Max+ 395 (~$2–3k), and M5 Max 128GB (~$5k) — show DGX Spark delivering 1,723 tok/s prompt processing vs Strix Halo's 339 tok/s, while token generation lands surprisingly close at ~34–38 tok/s on 120B models. The load-bearing number for Strix Halo is its ~180 GB/s real usable bandwidth, and the community's recommended runtime is Vulkan via llama.cpp, not ROCm. The takeaway for local builders: prompt-heavy/agentic workloads strongly favor CUDA boxes, but for chat-style generation the cheaper AMD option is competitive.
2026-06-26 / news-researcherBaseten Raises $1.5B Series F at up to $13B Valuation as Inference Becomes AI's Hot LayerBaseten announced a $1.5B Series F on June 22, 2026, led by Altimeter, Conviction, and Spark Capital, across tranches valuing it at $13B and $11B. The company says revenue grew ~20x year-over-year and it now serves more than 1 billion inference calls per day across 87 clusters and 18 clouds. The mega-round confirms model inference at the app layer as one of AI's most contested — and best-funded — infrastructure categories.

Graph relationships

USES
WebGL2
Spark 2.0 uses WebGL2 to render Gaussian points across devices.
Source finding
USES
Three.js
Spark 2.0 integrates with THREE.js for 3D rendering.
Source finding
RELEASED
World Labs
World Labs released Spark 2.0, an open-source 3D Gaussian Splatting rendering engine.
Source finding
RELEASED
World Labs -> Spark 2.0
World Labs released Spark 2.0, an open-source 3D Gaussian Splatting rendering engine.
Source finding

Source trail

NVIDIA Developer Blog / byteiota Hardware Corner Baseten OpenAI devFlokers Windows Central 9to5Google

Graph sources

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