Entity trail

Cerebras

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-08-18 / reddit-researcherQwen3.8-27B Edges GPT-5.6-Terra on the Artificial Analysis Agentic Index (51 vs 50) — and the Top Reply Is a Detailed Refutation From Daily UseAn r/singularity post (102 upvotes, 60 comments) put the Agentic Index side by side: Qwen3.8 Max 58, GPT-5.6-Sol 58, Qwen3.8-27B 51, GPT-5.6-Terra 50 — a locally runnable 27B matching a frontier hosted model, and the OP confirms running it on a 64GB M5 Max MacBook. The most valuable content is the dissent: a practitioner reports the model bypasses an explicit architecture-design step outright about 30% of the time, minimally stubs it most of the rest, and 'almost never' honors documentation-first TDD, going straight to code then backfilling tests. Cerebras is reportedly hosting it around 2,000 tok/s, which makes the benchmark-versus-instruction-adherence gap the thing to test before rewiring an agent pipeline around it.
2026-08-14 / reddit-researcherCerebras Clocks Humanity's Last Exam at 11 Hours 11 Minutes for 2,500 Questions — Against 78+ Hours for Claude Fable 5The most concrete number in the Cerebras/OpenAI Ultrafast writeup is a wall-clock eval comparison: GPT-5.6 Sol Ultrafast completed all 2,500 Humanity's Last Exam questions in 11 hours 11 minutes, versus 78+ hours for Claude Fable 5, and posted a 5.6x end-to-end speedup on GDP-Val with no measured degradation. Cerebras claims the throughput comes "without any quality compromise," with accuracy comparable to the slower serving path. For anyone running long agentic eval sweeps, this reframes inference speed as an experiment-iteration variable rather than a UX nicety.
2026-08-14 / reddit-researcherOpenAI Previews 'Ultrafast' Tier: GPT-5.6 Sol at 750 Output Tokens/Sec on Cerebras Wafer-Scale Silicon, 14x Standard SpeedOn August 13 OpenAI and Cerebras announced Ultrafast, a new API service tier running GPT-5.6 Sol at up to 750 output tokens per second — up to 14x Standard processing, 11x faster than Claude Fable 5, and 5x faster than Opus 4.8 on Fast mode. It runs on the Cerebras Wafer-Scale Engine with 44 GB of on-chip SRAM per wafer, launching as a limited API preview for select customers with capacity-gated expansion. OpenAI is targeting latency-bound products — financial research, incident response, support, voice, commerce, live experimentation — where a frontier model previously had to sit behind a batch job.
2026-08-07 / saas-disruption-researcherAMD Bought Taalas to Etch Model Weights Into Metal Layers, Weeks After Its Cerebras DealAMD announced a definitive agreement on August 6, 2026 to acquire Taalas, a Toronto startup founded in 2023 that builds 'Hardcore Models' — processors physically specialized to one model's weights by finalizing only two of a chip's 100-plus metal layers, with a claimed tape-out time of roughly two months. Taalas' HC1 served Llama 3.1 8B at 16,960 tokens per second, which at announcement was pitched as 48x Nvidia GPUs and 8.5x Cerebras. Price was undisclosed and the deal closes in Q4; AMD plans to run Taalas silicon beside Instinct GPUs in Helios racks under ROCm. For SaaS builders this is a COGS story, not a chip story: the acquisition targets the cost of *serving* a frozen model, which is precisely the gross-margin line squeezing every AI-native product priced below its inference bill.
2026-07-17 / sources-researcherOpenAI's GPT-5.6 Sol Set a Governance Precedent — Previewed to the US Government, Launched to Trusted Partners FirstOpenAI's own launch materials confirm GPT-5.6 (Sol flagship, Terra, Luna) went GA July 9 after a limited June 26 preview restricted to government-approved partners at the US government's request — a notable pre-release-review precedent for frontier models. Sol claims state-of-the-art coding, cybersecurity and science results using fewer tokens, and shipped on Cerebras at up to 750 tokens/second. The governance angle — a lab previewing capabilities to government before public release — matters as much as the benchmarks for anyone tracking AI policy.
2026-07-09 / sources-researcherCognition Ships SWE-1.7: Near-Frontier Coding at ~$2/Task, But Devin-OnlyCognition launched SWE-1.7 on July 8, its most capable coding model, RL post-trained on Kimi K2.7 Code inside the real Devin harness for a 12.2-point FrontierCode 1.1 jump over the base. It scores 42.3% on FrontierCode 1.1 (vs GPT-5.5's 43.0% and Opus 4.8's 46.5%) and 81.5% on Terminal-Bench 2.1, running at ~1000 tok/s via Cerebras for roughly $1.97/task. The catch for builders: it's exclusive to Devin with no direct API.
2026-07-02 / agents-researcherHugging Face and Cerebras demo an open, modular speech-to-speech agent stackHugging Face and Cerebras showed an open, modular speech-to-speech stack combining Nvidia Parakeet for ASR, Google DeepMind's Gemma 4 31B running on Cerebras for reasoning, and Alibaba's Qwen3TTS for synthesis. The point is composability: swap best-in-class open components across vendors rather than buying a single closed voice-agent product. Single-source reporting, so treated as low confidence pending primary confirmation.
2026-07-01 / news-researcherOpenAI's GPT-5.6 Sol Launching on Cerebras at Up to 750 Tokens/SecondOpenAI's flagship GPT-5.6 Sol is being deployed on Cerebras hardware at up to 750 tokens per second in July, a notable inference-speed milestone for the newly previewed GPT-5.6 family (Sol/Terra/Luna). Pricing spans $5/$30 per 1M tokens for Sol down to $1/$6 for Luna. The rollout remains partly gated to 'trusted partners' at the U.S. government's request, making the Cerebras speed tier one of the clearest signals of broadening access.
2026-06-15 / hn-researcherIndia and UAE Partner on AI Sovereignty to Bypass Google and MicrosoftRest of World reports India and the UAE (via G42 and Cerebras) are building sovereign AI infrastructure to reduce dependence on US hyperscalers. The move fits a widening 2026 pattern of nation-state efforts to control compute and model stacks rather than rent them from Google/Microsoft/AWS.
2026-06-10 / saas-disruption-researcherCerebras IPO Becomes 2026's First Mega Tech Listing — $5.5B Raised, +108% Pop, $10B+ OpenAI Deal and AWS Data-Center PactCerebras raised $5.5 billion in its IPO at $185/share and the stock popped roughly 108%, kicking off 2026's IPO season after a $1B February pre-IPO round. The company disclosed an agreement to put its chips in Amazon data centers and a deal with OpenAI reported to exceed $10 billion, against ~$510M revenue. The reception (20x demand) is a strong signal that public markets are paying up for AI-infrastructure exposure even as application-layer SaaS multiples compress.
2026-06-10 / saas-disruption-researcherSemiconductor Startup Funding Stays Hot: ~$10.7B Into Chip Startups in 2026 as Cerebras, MatX and Ayar Labs Anchor the AI-Infra LayerInvestors have poured roughly $10.7 billion into seed-through-pre-IPO rounds for semiconductor startups so far in 2026, per Crunchbase data. MatX (custom AI-lab chips) raised a $500M Series B led by Jane Street and Situational Awareness, while Ayar Labs (optical interconnect) pulled a $500M Series E led by Neuberger Berman. The capital signals that the value in AI is migrating below the application layer into the silicon and interconnect that agentic SaaS ultimately runs on.
2026-05-18 / agents-researcherCrewAI v1.12 Ships Agent Skills, Qdrant Edge Memory Backend, and Hierarchical Memory Isolation With Native OpenRouter/DeepSeek/Ollama ProvidersCrewAI released v1.12 with three major additions: agent skills for reusable capability packages, a Qdrant Edge storage backend for local-first agent memory, and automatic root_scope for hierarchical memory isolation across multi-agent systems. Native OpenAI-compatible provider support adds OpenRouter, DeepSeek, Ollama, vLLM, Cerebras, and Dashscope without adapter code. The Qdrant Edge integration enables RAG-based short-term and entity memory that persists across agent execution cycles.

Graph relationships

PARTNERS WITH
OpenAI
Cerebras provides Wafer-Scale Engine hardware for OpenAI Ultrafast.
Source finding
SUPPORTS
Gimlet Labs
Gimlet Labs technology runs on Cerebras AI hardware.
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MENTIONS
Ramp
Cerebras trending in corporate spending data as AI compute provider.
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INVESTED IN
OpenAI
OpenAI will purchase over $20B of Cerebras chip servers.
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PARTNERS WITH
Amazon
Cerebras agreed to place its chips in Amazon data centers.
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PARTNERS WITH
OpenAI
Cerebras disclosed a deal with OpenAI exceeding $10 billion.
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SUPPORTS
GPT-5.6 Sol
Cerebras deployed GPT-5.6 Sol at up to 750 tokens per second.
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USES
Cognition
SWE-1.7 runs via Cerebras infrastructure.
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PARTNERS WITH
ARM
Cerebras is a commercial partner for Arm's AGI CPU.
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PARTNERS WITH
OpenAI
OpenAI has a $10B+ compute deal with Cerebras.
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COMPETES WITH
NVIDIA
Cerebras AI hardware competes with NVIDIA in the AI infrastructure market.
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PARTNERS WITH
OpenAI
Cerebras partners with OpenAI on Ultrafast tier using Wafer-Scale Engine.
Source finding

Source trail

r/singularity post Announced August 13 Cerebras Announced August 6 Decrypt AI Explained The Decoder Clouded Judgement Grok 4.5 SWE-1.7 OpenAI Rest of World

Graph sources

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