--- title: "TPUs vs GPUs: When to Choose What for AI/ML Workloads" url: https://daily.dev/posts/tpus-vs-gpus-when-to-choose-what-for-ai-ml-workloads-mofyxyzgg source_url: https://cast.ai/blog/tpu-vs-gpu type: article source: "Cast AI" published: 2026-06-26T07:39:00.339Z updated: 2026-06-26T07:39:24.655Z tags: ["machine-learning", "kubernetes", "gpu", "finops"] reading_time: 11 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # TPUs vs GPUs: When to Choose What for AI/ML Workloads **[Cast AI](https://daily.dev/sources/castai)** · 11 min read · 0 upvotes · 0 comments ## Summary A practical framework for choosing between TPUs and GPUs for AI/ML workloads, covering silicon architecture differences, use-case fit, and total cost of ownership. TPUs excel at large-scale JAX-based pretraining (100B+ params) on GCP with committed-use discounts, but their static shape requirements, GCP-only availability, and smaller ecosystem make GPUs the default for most teams. GPUs dominate due to PyTorch/CUDA ecosystem maturity, dynamic shape support, multi-cloud portability, and viable spot automation. The post also covers GPU cost optimization strategies including rightsizing via DCGM, spot instance automation, MIG partitioning, and inference density improvements, with Cast AI promoted as a solution for automating these optimizations. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Why AI Needs GPUs and TPUs: The Hardware Behind LLMs](https://daily.dev/posts/why-ai-needs-gpus-and-tpus-the-hardware-behind-llms-6l5t8bybp) · ByteByteGo · 1 upvotes · 0 comments - [The Hardware That Makes AI Possible](https://daily.dev/posts/the-hardware-that-makes-ai-possible-oso4ilnea) · Towards Data Science · 0 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#kubernetes](https://daily.dev/tags/kubernetes), [#gpu](https://daily.dev/tags/gpu), [#finops](https://daily.dev/tags/finops) [View this post on daily.dev](https://daily.dev/posts/tpus-vs-gpus-when-to-choose-what-for-ai-ml-workloads-mofyxyzgg)