deepseek-v4.1-flash-tp2-and-tp4-dgx-sparks
deepseek-v4.1-flash-tp2-and-tp4-dgx-sparks is DeepSeek-V4.1-Flash-1017 on NVIDIA DGX Sparks with TensorFold + EXL3: TP4 (4 Sparks, 93.6 tok/s, 1M context) and TP2 (2 Sparks, 73 tok/s). Launchers, run records, measured numbers. Older vLLM lanes.... It is ranked #687 on the AI Radar, in AI infra & evals, first seen 10 days ago and shared in 3 posts (8.3k views).
GitHub - tonyd2wild/DeepSeek-V4.1-Flash-TP2-and-TP4-DGX-Sparks: DeepSeek-V4.1-Flash-1017 on NVIDIA DGX Sparks with TensorFold + EXL3: TP4 (4 Sparks, 93.6 tok/s, 1M context) and TP2 (2 Sparks, 73 tok/s). Launchers, run records, measured numbers. Older vLLM lanes kept. · 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…
What people said about deepseek-v4.1-flash-tp2-and-tp4-dgx-sparks on X
DeepSeek V4.1 Flash on 4x DGX Spark, now on @bertholomusai's TensorFold v0.3.5 recipe + his 4.0bpw pack: • 29.4M-token KV pool (was 2M) • 97 tok/s at 1 user, 144 on code, 231 at 16 users • 93K prompt read in 37s, ~2s replies during long reads https://github.com/tonyd2wild/DeepSeek-V4.1-Flash-TP2-and-TP4-DGX-Sparks
— @Tech2Wild, 10 days ago · 55 likes · see the post
DeepSeek V4.1 Flash running 100% local on 4 DGX Sparks: ⚡️ 97 tok/s (110 on code) 🧠 1M token context 📄 93K-token prompt read in 36 sec 💸 $0 API bill Only got 2 Sparks? 73 tok/s, still 1M context. Everything's open 👇 https://github.com/tonyd2wild/DeepSeek-V4.1-Flash-TP2-and-TP4-DGX-Sparks
— @Tech2Wild, 3 days ago · 60 likes · see the post
Beast numbers
— @TechMDAI, 10 days ago · 2 likes · see the post
Alternatives to deepseek-v4.1-flash-tp2-and-tp4-dgx-sparks
- 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…
deepseek-v4.1-flash-tp2-and-tp4-dgx-sparks in numbers
- Rank on the AI Radar: #687 of 10410
- Shared in 3 posts by 2 accounts: @Tech2Wild, @TechMDAI
- 8.3k views on those posts
- First seen 10 days ago, last shared 3 days ago
- Pricing seen by AGK Intelligence: open source
- Market: AI infra & evals
FAQ
What is deepseek-v4.1-flash-tp2-and-tp4-dgx-sparks?
DeepSeek-V4.1-Flash-1017 on NVIDIA DGX Sparks with TensorFold + EXL3: TP4 (4 Sparks, 93.6 tok/s, 1M context) and TP2 (2 Sparks, 73 tok/s). Launchers, run records, measured numbers. Older vLLM lanes... It was first shared on X 10 days ago and is ranked #687 on the AI Radar.
Is deepseek-v4.1-flash-tp2-and-tp4-dgx-sparks free?
It is open source.
Who shared deepseek-v4.1-flash-tp2-and-tp4-dgx-sparks?
2 accounts on X, including @Tech2Wild, @TechMDAI, in 3 posts totalling 8.3k 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 16:05 UTC. Full method.