TPU
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Explore more → **TPU**
What is TPU?
A Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google specifically for neural network machine learning. TPUs are designed to speed up TensorFlow workloads. They are used in Google's data centers and are available for use via Google Cloud.
What other technologies are related to TPU?
TPU Competitor Technologies
GPU
GPUs are a key competitor to TPUs in the machine learning acceleration space, especially for training and inference.
Nvidia
Nvidia is the leading manufacturer of GPUs, which are a primary competitor to TPUs in the machine learning acceleration market.
FPGAs
FPGAs are another type of hardware accelerator that can be used for machine learning, making them a competitor to TPUs.
FPGA
FPGAs are another type of hardware accelerator that can be used for machine learning, making them a competitor to TPUs.
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TPU Complementary Technologies
CPU
CPUs are used for general-purpose computing and often work in conjunction with TPUs, handling tasks like data preprocessing and control flow.
TVM
TVM is a compiler framework that can be used to optimize and deploy machine learning models on TPUs, making it a complementary technology.
RDMA
RDMA is a network technology that allows for high-throughput, low-latency communication between nodes, and is complementary to TPUs in distributed training scenarios.
Which job functions commonly mention TPU?
AI Engineer
0.1% of all AI Engineer jobs mention TPU
View 108
jobs on Sumble
Applied Scientist
0.1% of all Applied Scientist jobs mention TPU
View 14
jobs on Sumble
Machine Learning
0.1% of all Machine Learning jobs mention TPU
View 107
jobs on Sumble
Chip Designer
0.1% of all Chip Designer jobs mention TPU
View 42
jobs on Sumble
Hardware Engineer
49 Hardware Engineer jobs mention TPU
View 49
jobs on Sumble
Which organizations are mentioning TPU?
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