qwen3.8-flash-next-single-dgx-spark-tensorfold
qwen3.8-flash-next-single-dgx-spark-tensorfold is Qwen3.8 Flash Next on one DGX Spark (TensorFold). Contribute to MiaAI-Lab/Qwen3.8-Flash-Next-Single-DGX-Spark-TensorFold development by creating an account on GitHub.. It is ranked #3820 on the AI Radar, in AI infra & evals, first seen 38 days ago and shared in 9 posts (191.5k views).
GitHub - MiaAI-Lab/Qwen3.8-Flash-Next-Single-DGX-Spark-TensorFold: Qwen3.8 Flash Next on one DGX Spark (TensorFold) · GitHub Skip to content Navigation Menu Sign in Appearance settings Search / Sign in Sign up Appearance settings You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert {{ message }} Repository navigation Qwen3.8-Flash-Next-Single-DGX-Spark-TensorFold Public Notifications You must be signed in to change notification settings Fork 49 ( 49 ) Star…
What people said about qwen3.8-flash-next-single-dgx-spark-tensorfold on X
Who needs more than one Spark? Definitely not everyone. Why? Take a loot at this: @MiaAI_lab's Qwen3.8-Flash-Next recipe on one DGX Spark reached her README numbers on code: 114.3 tok/s. 114 tok/s on one Spark! And we aren't talking about Qwen 3.6 35B here. This is a 180 billion parameter model! I ran her recipe as…
— @niklaslenz_ai, 7 days ago · 49 likes · see the post
Alternatives to qwen3.8-flash-next-single-dgx-spark-tensorfold
- Spark-X2.6 — 6 open routing models from 0.3B to 27B, built to make decisions and extract exactly what you need in a single call. 🤖
- fireworks.ai — Start building through our API, no dedicated GPUs needed
- OrcaRouter — Claim yours
- aimlapi.com — Crawl Reddit with your AI agent >
- LongCatAI — Take a closer look at what it can do
- Kimi API Platform — Kimi API Platform, providing the 2.8-trillion-parameter Kimi K3 large language model API with a 1M-token context…
qwen3.8-flash-next-single-dgx-spark-tensorfold in numbers
- Rank on the AI Radar: #3820 of 10402
- Shared in 9 posts by 7 accounts: @niklaslenz_ai
- 191.5k views on those posts
- First seen 38 days ago, last shared 7 days ago
- Pricing seen by AGK Intelligence: open source
- Market: AI infra & evals
FAQ
What is qwen3.8-flash-next-single-dgx-spark-tensorfold?
Qwen3.8 Flash Next on one DGX Spark (TensorFold). Contribute to MiaAI-Lab/Qwen3.8-Flash-Next-Single-DGX-Spark-TensorFold development by creating an account on GitHub. It was first shared on X 38 days ago and is ranked #3820 on the AI Radar.
Is qwen3.8-flash-next-single-dgx-spark-tensorfold free?
It is open source.
Who shared qwen3.8-flash-next-single-dgx-spark-tensorfold?
7 accounts on X, including @niklaslenz_ai, in 9 posts totalling 191.5k views.
Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 65.6k posts from 5k X accounts over the last 14 days, 10.4k tools, 19 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 15:10 UTC. Full method.