Cerebras
AI-hardware · On-Prem · Native (own / self-hosted weights)
Designs wafer-scale AI chips and serves open models (Llama) at record speed on its own systems.
Cloud · On-Prem
14 companies in the Modeling Warehouse run on On-Prem, and how directly they consume their foundational models. Avg Foundation Proximity Score 75/100.
AI-hardware · On-Prem · Native (own / self-hosted weights)
Designs wafer-scale AI chips and serves open models (Llama) at record speed on its own systems.
Infrastructure · On-Prem · Native (own / self-hosted weights)
Cloudflare runs its own Linux-based servers and private backbone as a globally anycasted edge and core network, with most products (CDN, Zero Trust, R2, KV, Queues, Agents, Containers) built on an internal proxy chain and the Workers/Durable Objects developer platform.[3][9][10] Control planes and schedulers (for Containers, Workers AI, agents, etc.) are themselves implemented on Cloudflare’s stack, indicating a predominantly self-hosted, on-prem architecture rather than dependence on hyperscale public clouds.[7][8][10]
AI Hardware · On-Prem · Native (own / self-hosted weights)
Groq builds and operates its own on-premise inference infrastructure around custom Language Processing Units (LPUs) and GroqChip hardware, exposing this via stateless, multi-region HTTP/gRPC APIs used by customers’ gateways, queues, and orchestrators.[1][3][6][7] The production patterns described in public materials place Groq as a dedicated low-latency inference backend behind customer-managed proxies, Redis queues, and Kubernetes-based orchestrators, rather than as a full cloud stack provider.[1][3][4][6]
Electronics (Korea) · On-Prem · Native (own / self-hosted weights)
Trains EXAONE, its own foundation models, for products/enterprise on its own infrastructure.
Banking · On-Prem · Native (own / self-hosted weights)
Canadian bank running large in-house risk ML; Cohere models deployed in-VPC for sovereign generative AI (Borealis AI).
Telecom (India) · On-Prem · Native (own / self-hosted weights)
Telecom/digital giant building sovereign Indian-language models (Jio Brain / BharatGPT) on its own infrastructure.
AI-hardware · On-Prem · Native (own / self-hosted weights)
Own RDU AI chips plus its Samba-1 model and hosted open models for enterprise/government.
Internet · On-Prem · Native (own / self-hosted weights)
Tencent’s production stack is hybrid in practice, combining large-scale self-hosted infrastructure (notably OpenStack/TStack and Tencent Cloud-native/TCE/TCS) with major open-source infrastructure components such as Apache Kafka. Its database layer is centered on Tencent-built systems like TDSQL/TDSQL Boundless, with enterprise controls spanning regional deployment, access control, encryption, and auditing.
AI/LLM · On-Prem · Native (own / self-hosted weights)
The provided sources do not expose xAI’s actual production infrastructure, and most search results are generic XAI architecture guidance rather than xAI company disclosures. The only xAI-specific material in the results points to an internal product architecture (Home Mixer, Thunder, Phoenix, Grox) but does not establish cloud, database, or compliance stack details for xAI’s core production environment.[9][5]
SaaS (India) · On-Prem · Native (own / self-hosted weights)
Bootstrapped SaaS suite on its own Indian data centers; builds its own Zia AI models for privacy + cost control.
Enterprise · On-Prem · Cloud-hosted (Bedrock/Vertex/Azure)
Runs its own OCI; OCI Generative AI hosts Cohere + Llama for enterprise.
FinTech · On-Prem · Off the LLM map (in-house non-LLM ML)
Unusually for its scale, runs its own data centers (not a hyperscaler) on a single Java platform over PostgreSQL for full control of the payment path. RevenueProtect fraud scoring is in-house ML.
AI-infra · On-Prem · Off the LLM map (in-house non-LLM ML)
GPU hyperscaler renting NVIDIA capacity to AI labs; infrastructure layer, runs customers models not its own.
Cybersecurity · On-Prem · Off the LLM map (in-house non-LLM ML)
Own global proxy cloud + in-house ML; off the LLM map at the core.
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