Easily Run Qwen-3 VL on HPC-AI.com

Hacker News

Came across HPC-AI.COM, a platform that lets you easily run Qwen-3 VL on high-performance GPUs without managing hardware. - Two versions available: 235B-A22B-Instruct (general multimodal tasks) and 235B-A22B-Thinking (complex reasoning, math, and 2D/3D understanding) - Preconfigured 8× H200 GPU cluster, optimized CUDA environment - Launch in minutes, pay-as-you-go, repeat experiments freely A convenient way to experiment with cutting-edge multimodal AI.

Visit product View on Hacker NewsSep 29, 2025

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: tasks · Missing: mac, agents, macos

70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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