Instead of offering us an alternative plan they told us all others are sold out and have kicked us off their platform.
Their Discord support group has multiple Enterprise customers all getting the same treatment. Their own support staff is telling them to migrate to Groq.
You can\u2019t build a stable business with a company that randomly terminates models this frequently. Who does not respect their customers (especially Enterprise customers, not even small utilizers), offering zero contingency plans if they decide to axe your model.
Because of their architecture, they can only host a finite number of models. Turnover is fast, so if your model gets marked for deprecation, you will get forced off the platform.
Cerebras is cool for personal Hobby projects, but is in absolutely no position to be selling "Enterprise" accounts to businesses."},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["cerebras"],"value":"Tell HN: Avoid Cerebras if you are a founder"}},"_tags":["story","author_remusomega","story_46707904","ask_hn"],"author":"remusomega","children":[46707992,46709069,46710129,46710880,46716090],"created_at":"2026-01-21T16:29:09Z","created_at_i":1769012949,"num_comments":14,"objectID":"46707904","points":35,"story_id":46707904,"story_text":"I was an Enterprise customer on their platform. Cerebras began terminating production models and replacing them every few months. This time they notified us they are terminating Llama 3.3 70B, which is the model my plan was subscribed to.
Instead of offering us an alternative plan they told us all others are sold out and have kicked us off their platform.
Their Discord support group has multiple Enterprise customers all getting the same treatment. Their own support staff is telling them to migrate to Groq.
You can\u2019t build a stable business with a company that randomly terminates models this frequently. Who does not respect their customers (especially Enterprise customers, not even small utilizers), offering zero contingency plans if they decide to axe your model.
Because of their architecture, they can only host a finite number of models. Turnover is fast, so if your model gets marked for deprecation, you will get forced off the platform.
Cerebras is cool for personal Hobby projects, but is in absolutely no position to be selling "Enterprise" accounts to businesses.","title":"Tell HN: Avoid Cerebras if you are a founder","updated_at":"2026-04-26T10:19:21Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"rbanffy"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["cerebras"],"value":"AMD and Cerebras Launch AI Inference Solution"},"url":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["cerebras"],"value":"https://www.cerebras.ai/press-release/amd-and-cerebras-announce-industry-leading-ultra-low-latency-and-high-throughput-ai-inference"}},"_tags":["story","author_rbanffy","story_49041347"],"author":"rbanffy","children":[49041413,49042468,49044348,49044810],"created_at":"2026-07-24T20:44:05Z","created_at_i":1784925845,"num_comments":9,"objectID":"49041347","points":28,"story_id":49041347,"title":"AMD and Cerebras Launch AI Inference Solution","updated_at":"2026-08-01T12:36:50Z","url":"https://www.cerebras.ai/press-release/amd-and-cerebras-announce-industry-leading-ultra-low-latency-and-high-throughput-ai-inference"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"alcasa"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["cerebras"],"value":"OpenAI is partnering with Cerebras to add 750MW of compute in 10B USD deal"},"url":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["cerebras"],"value":"https://openai.com/index/cerebras-partnership/"}},"_tags":["story","author_alcasa","story_46622763"],"author":"alcasa","children":[46622956,46624557,46629128,46630457,46631546,46642587,46707952],"created_at":"2026-01-14T20:32:49Z","created_at_i":1768422769,"num_comments":9,"objectID":"46622763","points":25,"story_id":46622763,"title":"OpenAI is partnering with Cerebras to add 750MW of compute in 10B USD deal","updated_at":"2026-03-05T23:24:13Z","url":"https://openai.com/index/cerebras-partnership/"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"Tiberium"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["cerebras"],"value":"Gemma 4 on Cerebras - The Fastest Inference Is Now Multimodal"},"url":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["cerebras"],"value":"https://www.cerebras.ai/blog/gemma-4-on-cerebras-the-fastest-inference-is-now-multimodal"}},"_tags":["story","author_Tiberium","story_48729020"],"author":"Tiberium","children":[48729083,48729086,48733021],"created_at":"2026-06-30T06:04:53Z","created_at_i":1782799493,"num_comments":8,"objectID":"48729020","points":24,"story_id":48729020,"title":"Gemma 4 on Cerebras - The Fastest Inference Is Now Multimodal","updated_at":"2026-07-01T19:48:17Z","url":"https://www.cerebras.ai/blog/gemma-4-on-cerebras-the-fastest-inference-is-now-multimodal"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"noob_hardy"},"story_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["cerebras"],"value":"Post by ex-employee.
In the cutthroat AI world, Cerebras Systems, despite colossal wafers and bold claims, faces collapse. Its fragile foundation stems from brittle hardware, astonishingly narrow in practical application. Optimized primarily for LLaMA model finetuning, touted "speed boosts" often use speculative decoding, masking that many "supported" models run inefficiently, if at all. This rigidity mirrors a Formula 1 engine demanding one fuel under lab conditions.
This compounds with a poorly conceived software and kernel stack. The current infrastructure restricts Cerebras systems almost exclusively to LLaMA-family transformer LLMs. Modern vision pipelines, diffusion models, or other AI paradigms are beyond reach. In a rapidly evolving field, this narrow focus is a death sentence. A complete software overhaul is desperately needed, yet internal motivation is absent, hinting at leadership either oblivious or unwilling to invest in survival.\nTechnical woes are exacerbated by third-class ML expertise and rudderless, top-down leadership. Non-technical decision-makers lead to misguided strategies and poor adaptation. ML expertise is subpar and highly politicized; questionable ideas from figures like Head of AI Ganesh Venkatesh are reportedly prioritized, wasting resources.\nAn extreme resource shortage \u2013 Cerebras hardware and even GPUs \u2013 cripples meaningful work, making numbers in reports untrustworthy fiction. The chasm between rhetoric and reality widens.
A palpable resignation within the ranks further indicts the company. Employees are "waiting it out" or trading stocks, not contributing. This disengagement highlights deep problems, where personal finance trumps innovation.
Cerebras appears a bloated, incompetent, and culturally bankrupt company. Any stock price would be a scam. The rare "A players" have left or are leaving.
The writing is on the wall. Cerebras, despite grand pronouncements, is a company built on sand, destined to crumble under its limitations and poor choices.
Get out while you still can."},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["cerebras"],"value":"Cerebras: The AI hardware giant facing imminent collapse"}},"_tags":["story","author_noob_hardy","story_45477162","ask_hn"],"author":"noob_hardy","children":[45478517,45479244,45480572,45486695,45510370],"created_at":"2025-10-04T22:08:08Z","created_at_i":1759615688,"num_comments":7,"objectID":"45477162","points":22,"story_id":45477162,"story_text":"Post by ex-employee.
In the cutthroat AI world, Cerebras Systems, despite colossal wafers and bold claims, faces collapse. Its fragile foundation stems from brittle hardware, astonishingly narrow in practical application. Optimized primarily for LLaMA model finetuning, touted "speed boosts" often use speculative decoding, masking that many "supported" models run inefficiently, if at all. This rigidity mirrors a Formula 1 engine demanding one fuel under lab conditions.
This compounds with a poorly conceived software and kernel stack. The current infrastructure restricts Cerebras systems almost exclusively to LLaMA-family transformer LLMs. Modern vision pipelines, diffusion models, or other AI paradigms are beyond reach. In a rapidly evolving field, this narrow focus is a death sentence. A complete software overhaul is desperately needed, yet internal motivation is absent, hinting at leadership either oblivious or unwilling to invest in survival.\nTechnical woes are exacerbated by third-class ML expertise and rudderless, top-down leadership. Non-technical decision-makers lead to misguided strategies and poor adaptation. ML expertise is subpar and highly politicized; questionable ideas from figures like Head of AI Ganesh Venkatesh are reportedly prioritized, wasting resources.\nAn extreme resource shortage \u2013 Cerebras hardware and even GPUs \u2013 cripples meaningful work, making numbers in reports untrustworthy fiction. The chasm between rhetoric and reality widens.
A palpable resignation within the ranks further indicts the company. Employees are "waiting it out" or trading stocks, not contributing. This disengagement highlights deep problems, where personal finance trumps innovation.
Cerebras appears a bloated, incompetent, and culturally bankrupt company. Any stock price would be a scam. The rare "A players" have left or are leaving.
The writing is on the wall. Cerebras, despite grand pronouncements, is a company built on sand, destined to crumble under its limitations and poor choices.
Get out while you still can.","title":"Cerebras: The AI hardware giant facing imminent collapse","updated_at":"2026-04-26T11:02:21Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"rntn"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["cerebras"],"value":"Cerebras's Condor Galaxy AI supercomputer takes flight carrying 36 exaFLOPS"},"url":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["cerebras"],"value":"https://www.theregister.com/2023/07/20/cerebras_condor_galaxy_supercomputer/"}},"_tags":["story","author_rntn","story_36800196"],"author":"rntn","children":[36800301,36800302,36800758,36801349],"created_at":"2023-07-20T13:33:09Z","created_at_i":1689859989,"num_comments":5,"objectID":"36800196","points":21,"story_id":36800196,"title":"Cerebras's Condor Galaxy AI supercomputer takes flight carrying 36 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wafer-size chip is 10k times faster than a GPU"},"url":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["cerebras"],"value":"https://venturebeat.com/2020/11/17/cerebras-wafer-size-chip-is-10000-times-faster-than-a-gpu/"}},"_tags":["story","author_jonbaer","story_25195236"],"author":"jonbaer","children":[25195666,25195838,25195921,25196155,25196400],"created_at":"2020-11-24T04:20:30Z","created_at_i":1606191630,"num_comments":16,"objectID":"25195236","points":17,"story_id":25195236,"title":"Cerebras' wafer-size chip is 10k times faster than a GPU","updated_at":"2025-10-10T03:24:49Z","url":"https://venturebeat.com/2020/11/17/cerebras-wafer-size-chip-is-10000-times-faster-than-a-gpu/"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"rbanffy"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["cerebras"],"value":"Cerebras Release 2.0: 50% Faster Training, PyTorch 2.0, Diffusion Transformers"},"url":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["cerebras"],"value":"https://www.cerebras.net/blog/cerebras-software-release-2.0-50-faster-training-pytorch-2.0-support-diffusion-transformers-and-more"}},"_tags":["story","author_rbanffy","story_38458346"],"author":"rbanffy","children":[38459509],"created_at":"2023-11-29T11:57:28Z","created_at_i":1701259048,"num_comments":7,"objectID":"38458346","points":16,"story_id":38458346,"title":"Cerebras Release 2.0: 50% Faster Training, PyTorch 2.0, Diffusion Transformers","updated_at":"2024-09-20T15:49:51Z","url":"https://www.cerebras.net/blog/cerebras-software-release-2.0-50-faster-training-pytorch-2.0-support-diffusion-transformers-and-more"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"hochmartinez"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["cerebras"],"value":"Cerebras fastest host for DeepSeek R1 70B, 57x faster than Nvidia 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Since most people run inference in the cloud anyway, why aren't more datacenters being built with this technology instead of Nvidia GPUs? Is it simply a production bottleneck? Given the magnitude of hype around any AI-related advances, I'm surprised that Cerebras doesn't get more press."},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["cerebras"],"value":"Ask HN: Why isn't everyone talking about (and using) Cerebras?"}},"_tags":["story","author_ray__","story_46379843","ask_hn"],"author":"ray__","created_at":"2025-12-24T22:14:28Z","created_at_i":1766614468,"num_comments":0,"objectID":"46379843","points":10,"story_id":46379843,"story_text":"Cerebras' wafer-scale chips seem like the outperform any of Nvidia's solutions for inference workloads. Since most people run inference in the cloud anyway, why aren't more datacenters being built with this technology instead of Nvidia GPUs? Is it simply a production bottleneck? 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