Why NVIDIA H100 NVL Matters for Modern AI Systems
Explore better alternatives to traditional AI cloud providers. Find platforms built for performance, cost control, and real AI workloads.
The Indian cloud story, for most of the last decade, has been about software. We wrote the apps, and microservice, and the infrastructure was owned by players in the west. When the LLM wave hit late 2022 – the same arrangement carried forward: teams in Bengaluru, Pune, Gurugram, and Mumbai built on top of providers […]
Nobody gets fired for choosing Azure. It’s the safe bet for companies that buy AI infrastructure the way they buy office furniture: brand, contract, done. But “safe” and “right” are different things. If you’re running AI and GPU workloads in India, Azure is a can of worms: This list is the ten alternatives worth evaluating. […]
Google Cloud Platform’s Vertex AI is the most mature MLOps platform any general purpose cloud provider offers, TPUs deliver strong performance for JAX-based workloads, and native Gemini API access is something no other provider can replicate. But GCP has a hard constraint for Indian AI teams: there are no H100 instances in any Indian region. […]
AWS has long been the default cloud choice for enterprises across India. It is mature, well-documented, and deeply embedded in how most organisations think about cloud infrastructure. But when it comes to AI and GPU workloads specifically, things have changed from the bygones era. A new category of AI-native cloud providers have emerged with infrastructure […]