Cloud
Best GPU Cloud Providers
How to evaluate GPU cloud providers beyond the advertised hourly rate.
Editorial
Guides
Evergreen guides to AI infrastructure: what a GPU is, how AI data centers use power, H100 vs H200, GPU cloud economics and more.
Cloud
GPU Cloud Pricing Explained: On-Demand, Spot and Reserved
How GPU cloud pricing models work, why the cheapest hourly number can be misleading, and how to compare on-demand, spot and reserved GPU capacity.
Cloud
What Is GPU Cloud Computing?
Renting accelerated compute instead of buying it, and when each approach makes sense.
Data centers
Largest Data Center Markets in Europe
The established European hubs, the emerging ones, and what constrains each.
Data centers
What Is an AI Data Center?
How AI data centers differ from traditional cloud facilities in power, cooling and network design.
Data Centers
What is a data center?
A plain-English guide to data centers: what they are, how they work, their main components and types, and what makes AI data centers different.
Energy
How AI Data Centers Use Electricity
Where the power actually goes in an AI facility, and why grid connections are the real bottleneck.
Fundamentals
What Is a GPU?
A plain explanation of graphics processors and why they became the engine of modern artificial intelligence.
GPUs
B200 vs B300: Blackwell vs Blackwell Ultra
How NVIDIA B200 and B300 differ in memory, reasoning workloads, inference performance, infrastructure requirements and cloud pricing.
GPUs
B200 vs H200
Comparing the Blackwell generation with the memory-upgraded Hopper part.
GPUs
H100 PCIe vs SXM: What Is the Difference?
A practical comparison of NVIDIA H100 PCIe and SXM: memory, power, interconnect, multi-GPU scaling and which format fits different AI workloads.
GPUs
H100 vs H200
What actually changed between NVIDIA's two Hopper-generation data-center accelerators.
GPUs
How Much Does an H100 Cost?
Why there is no single H100 price, and how to think about cost per unit of work.
GPUs
How Much GPU VRAM Does an LLM Need?
A practical guide to estimating GPU memory for LLM inference and training, including parameter count, precision, quantization, context length and multi-GPU setups.
GPUs
What Is NVIDIA Blackwell?
The architecture behind the B200 and GB200, and what it changes at rack scale.