G2

Luis M.

CEO

Electrical/Electronic Manufacturing

Small-Business (50 or fewer emp.)

12/9/2025

"Excellent toolbox for AI implementation in the cloud"

4.5/5

What do you like best about Google Cloud AI Infrastructure?

Dramatic Cost Savings on AI Inference and Training

TPUs deliver 4x better performance-per-dollar for inference compared to Nvidia GPUs, with companies like Midjourney slashing costs by 65% after switching EngageBay. Salesforce and Cohere report 3x gains EngageBay in throughput. Three-year TCO analysis for 1,000-device deployments shows $8.8M TPU savings versus H100, driven by energy efficiency and per-workload economics.

2. Superior Energy Efficiency and Performance

Google's TPUv7 (Ironwood) is 100% better in performance per watt than their TPUv6e (Trillium). TPUv7 Ironwood has a peak computational performance rate of 4,614 TFLOP/s FinancesOnline. A TPU v5e pod delivers up to 100 quadrillion int8 operations per second, or 100 petaOps of compute power

Flexibility Across Hardware Options

With Google Cloud, you can choose from GPUs, TPUs, or CPUs to support a variety of use cases including high performance training, low cost inference, and large-scale data processing. This flexibility means you're not locked into a single vendor or architecture. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud AI Infrastructure?

Sometimes you have to constantly review the relevant documentation, and the parameters that can be configured for the development of a particular model tend to involve concepts that must be read carefully so as NOT to make mistakes when generating said models. Review collected by and hosted on G2.com.

What problems is Google Cloud AI Infrastructure solving and how is that benefiting you?

We are currently conducting some business models focused on the area of electricity generation and some of its commodities. With the platform, we have managed to develop points that provide concrete answers to questions that specialists from the different areas that make up the project may have. The agility in obtaining answers and synthesizing concepts into more than just characteristics maximizes the activities of the TEAM. Review collected by and hosted on G2.com.