Artificial Intelligence has made life easier than ever. However, in order to derive meaningful results from existing deep learning models, organizations require increased computing power and memory bandwidth. The drawback here is that powerful general-purpose chips cannot support such sophisticated deep learning models. This is the reason why AI chips have become increasingly popular. Additionally, AI chips enable parallel computing capabilities thereby making them way more popular. If you are in the hunt for top artificial intelligence chip makers, you are at the right place. In this article, we will talk about the top 10 artificial intelligence chip makers to look out for in 2023.
The list of top artificial Intelligence chip makers definitely has to start with IBM. The company made headlines with its "neuromorphic chip" that contains 5.4 billion transistors, 1 million neurons, and 256 million synapses, so it can efficiently perform deep network inference and deliver high-quality data interpretation. The company is actively involved in preventing fraud and memory breach, compared to previous AI chips of the company.
Nvidia has always enjoyed the popularity for producing high-quality chips for the gaming sector for some time now. What deserves special mention is that this company also makes AI chips such as Volta, Xavier, and Tesla which are designed to solve business problems in various industries. Nvidia's new AI chip model is all set to create wonders in 2023.
Who isn't aware of Intel? It is one of the largest players in the chip market? It was in the year 2017 that the company became the first AI chip company in the world to break the $1 billion sales barrier. No wonder why Intel makes it to the list of top 10 artificial intelligence chip makers n 2023. Intel NCS2 is the latest AI chip from Intel and was developed specifically for deep learning.
Google Cloud TPU is the purpose-built machine learning accelerator chip that powers Google products like Translate, Photos, Search, Assistant, and Gmail. A special feature to note is that it can be used via the Google Cloud implementation. Edge TPU is yet another accelerator chip from Google Alphabet that deserves special mention for the sole reason that it is designed for edge devices such as smartphones, tablets, and IoT devices.
This AI chip making company focuses mainly on graphics cards and GPUs. Wondering what is AMD's role in AI? Well, it aims to solve representation of the knowledge problem.
SambaNova Systems, founded in 2017, has a clear-cut goal – developing high-performance, high-precision hardware-software systems. The company is majorly into selling its AI processors. In addition to this, SambaNova Systems also builds data centers and leases them to businesses.
Cerebras Systems gained wide recognition for its new AI chip model, Cerebras WSE-2, which has 850,000 cores and 2.6 trillion transistors. What can be the after impact? This system has paired with many pharmaceutical companies such as AstraZeneca and GlaxoSmithKline because the effective technology of WSE-1 accelerates genetic and genomic research and shortens the time for drug discovery.
Graphcore, a British company founded in 2016 announced its flagship AI chip as IPU-POD256 that has already been funded with around $700 million. A point to note is that the company has strategic partnerships with data storage corporations like DDN, Pure Storage, and Vast Data. Graphcore works with research institutes around the globe like Oxford-Man Institute of Quantitative Finance, the University of Bristol, and Berkeley University of California are other reputable research organizations that use Graphcore's AI chips.
Groq represents a new model for AI chip architecture that aims to make it easier for companies to adopt their systems. The startup has already raised around $350 million and produced its first models such as GroqChip™ Processor, GroqCard™ Accelerator, etc., thus making it to the list of top 10 artificial Intelligence chip makers to lookout for in 2023.
Mythic, yet another chip making company, has developed products such as M1076 AMP, MM1076 key card, etc., and has already raised about $150 million in funding.
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