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The next generation of open AI models is rapidly expanding beyond text-only capabilities. One of the most significant releases in this space is Qwen3.5-397B-A17B, the flagship model of the Qwen3.5 family developed by Alibaba Cloud.
Shubham Tribedi
I just read Jensen Huang 's recent blog, AI Is a 5-Layer Cake and found his cake architecture super interesting and loved how he brilliantly breaks down the AI ecosystem into five essential layers - from energy and chips to infrastructure, models, and real-world applications. It’s not just a clever analogy; it’s a r...
Pranay Prakash
Large language models are evolving rapidly, but few releases represent meaningful architectural shifts. Qwen3.5-397B-A17B is one such model. Developed by Alibaba’s Qwen team, it introduces a hybrid Mixture-of-Experts (MoE) architecture designed to deliver frontier-level reasoning while keeping inference more efficient than traditional dense models.
Shubham Tribedi
A practical guide to selecting the best LLM for writing, summarization, classification, and other real-world text workloads.
Shubham Tribedi
What we learned about latency, reliability, GPU utilization, and scaling infrastructure while serving open-source models in production.
Shubham Tribedi
We have partnered with Pruna to bring P-Video, a real-time AI video generation model, directly to developers and enterprises through a unified API. And this isn’t just another model integration.
Shubham Tribedi
For workloads that demand consistency, control, and sustained throughput, bare-metal GPU infrastructure has become the preferred foundation
Shubham Tribedi
This isn't another wrapper around legacy OCR. Hunyuan is a large multimodal AI system trained on billions of real-world documents
Shubham Tribedi
Master long-context reasoning, coding, and agent workflows using NVIDIA’s most efficient open LLM
Shubham Tribedi
In this guide, we’ll break down what Z-Image Turbo is, how it works, and how to write prompts that consistently deliver better results
Shubham Tribedi
As models grow larger and workloads diversify across training, fine-tuning, and inference, the definition of the best GPU cloud has changed
Shubham Tribedi
As AI workloads mature from experimentation to mission-critical infrastructure, platforms built for demos begin to show their limits
Shubham Tribedi
Have questions? Want to Partner with us? Looking for larger deployments or custom fine-tuning? Let's collaborate on the right setup for your workloads.
"Qubrid's medical OCR and research parsing cut our document extraction time in half. We now have traceable pipelines and reproducible outputs that meet our compliance requirements."
Clinical AI Team
Research & Clinical Intelligence