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American Focus > Blog > Tech and Science > Cerebras just announced 6 new AI datacenters that process 40M tokens per second — and it could be bad news for Nvidia
Tech and Science

Cerebras just announced 6 new AI datacenters that process 40M tokens per second — and it could be bad news for Nvidia

Last updated: March 11, 2025 7:28 am
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Cerebras just announced 6 new AI datacenters that process 40M tokens per second — and it could be bad news for Nvidia
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Cerebras Systems, a leading AI hardware startup, is making waves in the artificial intelligence market with a significant expansion of its data center footprint and strategic partnerships that position the company as a key player in high-speed AI inference services. The company’s expansion includes the addition of six new AI data centers across North America and Europe, increasing its inference capacity twentyfold to over 40 million tokens per second.

James Wang, Director of Product Marketing at Cerebras, stated in an interview with VentureBeat, “This year, our goal is to truly satisfy all the demand and all the new demand we expect will come online as a result of new models like Llama 4 and new DeepSeek models. This is our huge growth initiative this year to satisfy almost unlimited demand we’re seeing across the board for inference tokens.”

The data center expansion reflects Cerebras’ confidence in the growing market for high-speed AI inference, as companies seek faster alternatives to GPU-based solutions from competitors like Nvidia. Cerebras’ specialized hardware, including the Wafer-Scale Engine (WSE-3) processor, is designed to run AI models 10 to 70 times faster than GPU-based solutions, giving the company a competitive edge in accelerating complex AI workloads.

In addition to its infrastructure expansion, Cerebras announced partnerships with Hugging Face, a popular AI developer platform, and AlphaSense, a market intelligence platform used in the financial services industry. The integration with Hugging Face will allow its five million developers to access Cerebras Inference with a single click, while the partnership with AlphaSense represents a significant enterprise customer win as the financial intelligence platform switches to Cerebras for AI-powered search capabilities.

Cerebras’ compelling economics, which combine speed and cost efficiency, are attracting companies already using leading models like GPT-4. By optimizing open-source models like Llama 3.3 70B for its hardware, Cerebras is able to offer comparable intelligence test scores to GPT-4 at a significantly lower cost. Wang explained, “The price for GPT-4 is [about] $4.40 in blended terms. And Llama 3.3 is like 60 cents. We’re about 60 cents, right? So you reduce cost by almost an order of magnitude. And if you use Cerebras, you increase speed by another order of magnitude.”

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As Cerebras continues to expand its data center footprint and forge strategic partnerships, the company is poised to lead the way in high-speed AI inference services, challenging the dominance of competitors like Nvidia and OpenAI. With its focus on accelerating complex AI workloads and providing cost-effective solutions, Cerebras is setting a new standard for AI hardware innovation. Cerebras, a leader in AI hardware, is set to open its new facility in Oklahoma City in June 2025. Designed to withstand extreme weather events such as tornadoes and seismic activity, the facility is a testament to Cerebras’ commitment to reliability and resilience.

The partnership with Scale Datacenter will see the Oklahoma City facility house over 300 Cerebras CS-3 systems. These systems will be supported by triple redundant power stations and custom water-cooling solutions tailored specifically for Cerebras’ wafer-scale systems. The facility is built to ensure continuous operation even in the face of the most severe weather conditions.

Cerebras has come a long way in establishing itself as a key player in the AI hardware market. With a focus on fast inference, the company has found a niche where it can excel, particularly in real-time voice and video processing, reasoning models, and coding applications. By prioritizing speed and efficiency, Cerebras is carving out a space for itself in a market dominated by giants like Nvidia.

The expansion of Cerebras’ facilities in the US is significant not just for the company, but also for the AI industry as a whole. As companies increasingly rely on AI for production applications, the need for fast and cost-effective inference solutions is growing. With a majority of its inference capacity located in the US, Cerebras is playing a crucial role in advancing domestic AI infrastructure and ensuring technological sovereignty.

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The demand for faster inference solutions is only expected to increase as reasoning models like DeepSeek R1 and OpenAI’s o3 become more prevalent. Cerebras’ systems, which operate near-instantaneously compared to traditional hardware, are well-positioned to meet this demand. For technical decision-makers looking for AI infrastructure options, Cerebras’ expansion offers a compelling alternative to GPU-based solutions, especially for applications where response time is critical.

While Cerebras may not directly challenge Nvidia’s dominance in the AI hardware market, its strategic focus on high-speed inference and substantial infrastructure investment demonstrate a clear vision for the company’s future. The opening of the Oklahoma City facility marks a significant milestone for Cerebras and underscores its commitment to innovation and reliability in the ever-evolving AI landscape. The Benefits of Yoga for Mental Health

Yoga is a holistic practice that combines physical postures, breathing techniques, meditation, and mindfulness to promote overall well-being. While many people are familiar with the physical benefits of yoga, such as increased flexibility and strength, fewer are aware of the positive impact it can have on mental health. In recent years, there has been a growing body of research that supports the use of yoga as a complementary treatment for various mental health conditions, including anxiety, depression, and PTSD.

One of the key ways that yoga benefits mental health is by reducing stress and anxiety. The practice of yoga encourages deep breathing and relaxation, which can help calm the nervous system and reduce the body’s stress response. By focusing on the present moment and connecting with the breath, practitioners can learn to let go of worries and fears, leading to a greater sense of calm and peace.

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Yoga also promotes mindfulness, or the practice of being fully present and aware in the moment. This can help individuals with anxiety or depression learn to observe their thoughts and feelings without judgment, and to cultivate a greater sense of self-awareness. By becoming more mindful, individuals can develop a greater sense of control over their emotions and reactions, leading to a reduced risk of mood disorders.

In addition to reducing stress and promoting mindfulness, yoga can also help improve mood and boost feelings of happiness. The physical postures and breathing techniques used in yoga can stimulate the release of endorphins, the body’s natural feel-good chemicals. This can lead to an improved mood and a greater sense of well-being.

Furthermore, yoga can help individuals develop a greater sense of self-compassion and self-acceptance. The practice of yoga encourages individuals to be kind to themselves and to treat themselves with love and respect. This can be particularly beneficial for individuals struggling with low self-esteem or negative self-talk, as it can help them develop a more positive relationship with themselves.

Overall, the practice of yoga offers a wide range of benefits for mental health. By reducing stress and anxiety, promoting mindfulness, improving mood, and fostering self-compassion, yoga can be a valuable tool for individuals seeking to improve their mental well-being. Whether practiced in a group setting or at home, yoga can be a powerful practice for cultivating a greater sense of peace, balance, and overall mental health.

TAGGED:40MannouncedBadCerebrasdatacentersNewsNvidiaProcesstokens
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