cerebras.ai traffic, backlinks, authority, and more

Cerebras.ai is the corporate website for Cerebras Systems, a computer hardware and AI infrastructure company that designs wafer-scale AI accelerators and integrated systems for deep learning, serving AI researchers, machine learning engineers, data center operators, and enterprises deploying large-scale model training and inference. The site is well-known within the AI and high-performance computing community and among enterprise customers but less prominent to the general public, attracting targeted professional traffic with estimated daily visits in the hundreds.

Domain Authority
Authority score: 41/100
41/100

Score assigned based on the strength of the domain online

Monthly Traffic-1.8%
29.4K

Estimated monthly organic traffic from search engines

Backlinks
238.7K

Total number of links from other websites pointing to this domain

Traffic Analysis

-1.8% vs last month

The site's traffic has grown by 113% year-over-year with over 29,387 monthly visits driven primarily by a mix of brand-focused queries, investor- and product-related interest (including IPO/stock signals), technical AI model and troubleshooting searches, and common misspellings or variant-name lookups. Traffic is heavily concentrated in North America (65.2% combined US and Canada), followed by Europe (roughly 19.4%) and Asia-Pacific (about 12.6%), underscoring strong demand from enterprise and investor audiences in core Western markets while highlighting growing technical interest and adoption in APAC.

Domain Preview & WHOIS Information

Domain Preview
Cerebras
Cerebras

Cerebras

Cerebras is the go-to platform for fast and effortless AI training. Learn more at cerebras.ai.

WHOIS
Namecerebras.ai
Registrargodaddy.com, llc
Registered OnDec 15, 2017
Expires OnJul 5, 2029
Updated OnApr 2, 2025
Name Serversns03.domaincontrol.com
DNSSEC

The domain cerebras.ai was registered on December 16, 2017, through godaddy.com, llc and uses Domaincontrol for DNS and security. At 8 years old, the domain benefits from a proven track record, accumulated authority, and established credibility, indicating a mature online presence that can strengthen trust signals and SEO performance.

Domain Authority & SEO Metrics

Authority Metrics
41
Domain Authority
51
Page Authority
41
Trust Score

Cerebras shows moderate authority and trust alongside good page-level authority, indicating it has specific pages that can rank well and attract targeted traffic, but it will struggle to scale against higher-authority competitors without improving backlink quality and trust signals—achievable steps that would strengthen its competitive position vs. enterprise-level rivals.

Keyword Rankings

Top Ranking Keywords

cerebras systems
5.4K/moSearch Volume
#1Position
cerebras api key
1K/moSearch Volume
#1Position
cerebra
4.4K/moSearch Volume
#1Position
cerebras ai
720/moSearch Volume
#1Position
cerebras inference pricing
480/moSearch Volume
#1Position

The domain cerebras.ai presents a focused keyword portfolio centered on brand and product terms across AI hardware and developer access, with search intent spanning brand discovery, API usage, and pricing that collectively position the site as an authoritative, commercially-oriented resource in the AI accelerator niche. The top keyword 'cerebras systems' attracts daily searches in the hundreds with a $1.56 CPC, indicating solid brand recognition. The other four keywords — 'cerebras api key' (1,000 SV, $3.32 CPC, 26% competition), 'cerebra' (4,400 SV, $10.2 CPC, 11% competition), 'cerebras ai' (720 SV, $1.68 CPC, 23% competition), and 'cerebras inference pricing' (480 SV, $4.77 CPC, 43% competition) — show predominantly low competition (0–33%) with one moderate (34–66%) term, revealing a mix of high-intent commercial queries and developer-focused long-tail interest that gives the brand a defensible niche against broad competitors. Overall the domain demonstrates strong organic visibility, a healthy keyword portfolio, and competitive SEO performance.

Technology Stack

Frontend
React
Next.js
jQuery
Font Awesome
Infrastructure
Amazon
Cloudflare
Vercel
Kinsta
Analytics & Tools
Google Analytics
Google Tag Manager
Hubspot
Google Adsense
Security
LetsEncrypt
HSTS
DMARC
SPF

cerebras.ai is built on a modern technology stack that leverages React and Next.js alongside legacy helpers like jQuery and icon tooling such as Font Awesome, providing a strong combination of component-driven development, server-side rendering for optimal SEO, and improved performance and developer experience. On the backend and hosting side the site uses infrastructure components including Amazon (AWS EC2), Cloudflare, Vercel, and Kinsta, which together enable reliability, scalability, and global distribution via serverless functions, edge computing and CDN optimizations.

The security and DNS layer uses certificates and policies such as LetsEncrypt, HSTS, DMARC, and SPF to ensure encrypted traffic, HSTS enforcement, and email protection, while Cloudflare and the CDN footprint help with DDoS mitigation, DNS management and fast load times across geographic regions. Analytics and marketing tools like Google Analytics, Google Tag Manager, Hubspot, and Google Adsense provide monitoring, tagging and lead-generation capabilities that enhance UX and operational insight, and while the detected stack does not list TypeScript or GraphQL, adopting type safety/GraphQL and modern CSS solutions would be a natural way to further streamline development and data fetching.

Competitive Landscape

cerebras.ai competes in the AI accelerator and high-performance AI compute infrastructure space against established players like NVIDIA, Google/TPU, Intel, and Graphcore, as well as newer alternatives and focused entrants such as Groq, The Data Exchange, and Intellyx. In this space cerebras.ai is positioned as a specialized, research- and enterprise-focused supplier—its traffic profile (moderate organic traffic relative to a challenger like Groq) and broad backlink footprint indicate strong technical credibility and awareness among ML engineers and HPC buyers, while its niche differentiator of offering wafer-scale systems and custom software stacks has enabled growth in enterprise and research pockets rather than mass-market visibility.

With a Domain Authority score of 41 in the AI hardware and accelerator industry, cerebras.ai sits on par with listed competitors (all shown at DA 41), signalling similar domain-level SEO authority but divergent organic reach—cerebras.ai’s 29,387 organic visits vs Groq’s 72,046 show room to convert authority into higher traffic. By targeting ML researchers, large enterprises, and HPC teams and emphasizing wafer-scale architecture, full-stack integration, and low-latency large-model performance as key capabilities, cerebras.ai has driven organic visibility and niche market penetration that translate into concentrated, high-value inquiries and steadily growing technical mindshare.

FAQ on cerebras.ai

Everything you need to know about cerebras.ai.

What is cerebras.ai's primary business model?

Cerebras.ai (Cerebras Systems) sells specialized AI hardware and accompanying software designed to accelerate large-scale model training and inference, primarily to enterprise and research customers. Its business model centers on selling integrated systems (like the CS-2 and wafer-scale engines), providing software and support, and forming strategic partnerships to deploy their accelerators in datacenters and supercomputing environments.

Is cerebras.ai considered a market leader, a challenger, or a niche player?

Challenger. Cerebras is widely regarded as an innovative challenger in the AI accelerator market: it is highly visible for its novel wafer-scale chip architecture and strong performance on large models, but it is not the dominant market leader compared with incumbent suppliers like NVIDIA.

What makes cerebras.ai unique compared to its competitors?

Cerebras is distinctive for its wafer-scale engine approach — building the largest single silicon chips to provide very high on-chip memory and bandwidth — and for offering tightly integrated systems and software optimized for training extremely large neural networks. Its emphasis on extreme single-node scale, specialized interconnects, and an end-to-end software stack for model orchestration differentiates it from competitors that rely on many smaller chips or more conventional accelerator designs.

What are the most recent major updates or strategic shifts seen on cerebras.ai?

Recent public activity has focused on product iterations and ecosystem expansion: rolling out and shipping upgraded systems (e.g., CS-2 and subsequent wafer-scale processor improvements), maturing their software stack for large language models, and expanding deployments with research institutions and enterprise customers. If specific very recent announcements are not available, the broader strategic direction is clear: prioritize scalability for massive models, improve software/hardware integration, and increase adoption through partnerships and cloud or on-premises offerings.