Google Edge TPU Alternatives (January 2026)

Google Cloud's Tensor Processing Units (TPUs) are custom-built to help speed up machine learning workloads. Contact Google Cloud today to learn more.

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1.
Tensor Processing Units (TPUs) | Google Cloud
https://cloud.googl
.com/tpu/

Google Cloud's Tensor Processing Units (TPUs) are custom-built to help speed up machine learning workloads. Contact Google Cloud today to learn more.

2.
Compute Engine | Google Cloud
https://cloud.googl
.com/products/compute/

Easily create and run online VMs on Google Cloud. Choose from preset or custom machine types for web servers, databases, AI, and more.

3.
Deep Learning Containers  |  Google Cloud
https://cloud.googl
.com/deep-learning-containers/

Prepackaged and optimized deep learning containers for developing, testing, and deploying AI applications on TensorFlow, PyTorch, and scikit learn.

6.
Vertex AI with Gemini 1.5 Pro and Gemini 1.5 Flash | Google Cloud
https://cloud.googl
.com/vertex-ai/

Try Vertex AI, a fully-managed AI development platform for building generative AI apps, with access to 130+ foundation models including Gemini 1.5 models.

7.
Assured Workloads | Google Cloud
https://cloud.googl
.com/security/products/assured-workloads/

Assured Workloads allows customers to confidently secure and configure sensitive workloads to support their regulatory compliance requirements.

8.
DGX-2 : AI Servers for Solving Complex AI Challenges | NVIDIA
https://www.nvidi
.com/en-in/data-center/dgx-2/

Experience 10X the Deep Learning performance with NVIDIA DGX-2. Build your own private enterprise-grade AI cloud with virtualization support.

9.
DGX-1 for AI Research | NVIDIA
https://www.nvidi
.com/en-gb/data-center/dgx-systems/dgx-1/

Fast-track your AI initiatives with a supercomputing solution that gives you insights in hours, instead of weeks or months. Learn more.