Figma - MultiAgents April 16, 2026

Debugging Dead MoE Models: A Step-by-Step Guide August 19, 2025

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

MoE at Scale: Making Sparse Models Fast on Real Hardware September 03, 2025

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

Cerebras and Docker Compose: Building Isolated AI Code Environments September 17, 2025

AI Developers run Cerebras inference inside Docker containers, with Docker Compose, to create safe environments for AI-generated code and inference speed

Cerebras CS-3 vs. Groq LPU September 19, 2025

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

Cerebras CS-3 vs. Nvidia DGX B200 Blackwell September 19, 2025

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

Cerebras API Certification Partner Program for LLM API Providers September 22, 2025

Cerebras inference - the fastest inference API for generative AI.

The Fastest AI Datacenters will run on Cerebras: Meet OKC September 22, 2025

Cerebras inference - the fastest inference API for generative AI.

Cerebras Inference: Now Available via Pay Per Token October 13, 2025

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

MoE Math Demystified: What Does 8x7B Actually Mean? October 14, 2025

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

REAP: One-Shot Pruning for Trillion-Parameter Mixture-of-Experts Models October 16, 2025

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

Building Instant RL Loops with Meta Llama Tools and Cerebras October 27, 2025

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

Cerebras October 2025 Highlights November 03, 2025

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

Cerebras February 2026 Highlights November 03, 2025

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

OpenAI GPT-OSS 120B Benchmarked – NVIDIA Blackwell vs. Cerebras November 06, 2025

Nvidia Blackwell is upgrade over Hopper, with top speed of GPU inference by 2-3x and leapfrogging small-chip AI competitors. Cerebras outperforms Nvidia,

The world’s fastest GLM-4.6 – now available on Cerebras November 18, 2025

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

Scaling Code-Repair Agents with Reinforcement Learning: Extending OpenHands for Real-World Repositories November 24, 2025

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

Scaling SWE Agent Data Collection with Dockerized Environments for Execution November 24, 2025

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

Rox × Cerebras: Real-time speed for agentic sales workflows November 25, 2025

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

Cerebras at NeurIPS 2025: Nine Papers From Pretraining to Inference December 04, 2025

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

Jais 2: A Blueprint for Sovereign AI December 09, 2025

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

Case Study - Cognition x Cerebras December 10, 2025

Powered by Cerebras Inference, Cognition’s SWE-1.5 and the SWE-grep family deliver frontier-level coding performance up to 13x faster than general-purpose models—keeping developers in flow while they explore codebases, ship features, and debug complex systems

Thinking Inside the Box: The Implicit Chain Transformer for Efficient State Tracking December 12, 2025

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

2026: Fast Inference Finds its Groove January 06, 2026

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

GLM-4.7: Frontier intelligence at record speed — now available on Cerebras January 08, 2026

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

This new model is smarter than Sonnet 4.5…and 20X faster? January 08, 2026

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

OpenAI Partners with Cerebras to Bring High-Speed Inference to the Mainstream January 14, 2026

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

StackAI × Cerebras: enabling the fastest inference for enterprise AI agents January 28, 2026

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

Fast inference is going mainstream — the Cerebras ecosystem is scaling access January 28, 2026

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

The Year of Latency Debt (And How Big Tech Is Paying It Down) January 28, 2026

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

Introducing OpenAI GPT-5.3-Codex-Spark Powered by Cerebras February 12, 2026

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

Why speed wins: faster inference is about more than just quicker answers–it’s the new path to accuracy February 19, 2026

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

ExomeBench: A Benchmark for Clinical Variant Interpretation in Exome Regions February 23, 2026

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

Stop Shipping AI Slop: How Codex Spark Changes The Way You Code March 04, 2026

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

Cerebras is coming to AWS March 13, 2026

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

How to stop your autoresearch loop from cheating March 19, 2026

Stop autoresearch loops from “cheating” by enforcing strict evaluation, isolating experiments, and designing metrics that prevent shortcuts and false gains.

The GPU Is Being Split in Half March 26, 2026

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

Partner Spotlight: Armis + Cerebras Enable Teams Build and Secure Software Faster March 27, 2026

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

The Debate of MCP vs. CLI Centers on Speed April 06, 2026

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

Lessons learned from building multi-agent workflows April 16, 2026

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

March 20, 2026 Why the AI Race Shifted to Speed Read blog post

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

Router Wars: Which MoE Routing Strategy Actually Works August 04, 2025

MoE Fundamentals | Router Wars | Debugging Dead MoE Models | MoE at Scale | MoE Math Demystified Here’s what nobody tells you about Mixture-of-Experts (MoE): the router can single-handedly destroy your model. You can have perfect expert network architecture, tuned hyperparameters, and unlimited compute, but if your router collapses, you’re back to dense model performance regardless of number of experts you choose. The router’s job sounds simple – it needs to decide which expert handles each token. In practice, it’s where most MoE implementations go wrong. With wrong strategy you can spend weeks debugging and be completely lost. So which routing strategy should you use and what to expect from it? Let’s examine the most common approaches, their real-world tradeoffs, and what works in practice. The Routing Landscape: Oh So Many Flavors… Table 1: MoE routing reality. Behind the…

MoE Fundamentals: Sparse Models Are the Future July 22, 2025

MoE Fundamentals | Router Wars | Debugging Dead MoE Models | MoE at Scale | MoE Math Demystified Why Choose MoE Here's a counterintuitive fact: The most powerful language models today use less than 10% of their parameters for any given token (Yang et al., 2025, DeepSeek-AI et al., 2024). This isn't a bug - it's the feature that makes trillion-parameter models possible. Why does this matter? We've hit a scaling wall. The progression from GPT-3's parameter scaling (Brown et al., 2020) to Chinchilla's compute-optimal ratios (Hoffmann et al., 2022) drove AI training compute up by a factor of 10^21 since AlexNet (Krizhevsky et al., 2012). But we can't just keep making models bigger forever - as we increase parameters, we need to proportionally increase compute. Eventually it becomes prohibitively expensive to train these models and impossible to sustain. Mixture-of-Experts…

OpenAI GPT OSS 120B Runs Fastest on Cerebras August 06, 2025

OpenAI’sGPT OSS 120B model is now available on Cerebras. The first open weight reasoning model by OpenAI, OSS 120B delivers model accuracy that rivals o4-mini while running at up to 3,000 tokens per second on the Cerebras Inference Cloud. Reasoning tasks that take up to a minute to complete on GPUs finish in just one second on Cerebras. OSS 120B is available today with 131K context at $0.25 per M input tokens and $0.69 per M output tokens. GPTOSS120B is a 120 billion parameter mixture-of-expert model that delivers near parity performance with OpenAI’s popular o4mini on core reasoning benchmarks. It excels at chain of thought tasks, tackling coding, mathematical reasoning, and health related queries with class leading accuracy and efficiency. With its public weights release under Apache 2.0, it offers transparency, finetuning flexibility, and the ability to run on the…

Cerebras Launches OpenAI’s gpt-oss-120B at a Blistering 3,000 tokens/sec August 05, 2025

Cerebras is a day one launch partner for OpenAI’s new open-weight model, gpt-oss-120B, now available on Cerebras Cloud. Developers can run the model at 3000 tokens per second at full 128k context with streaming, high-throughput inference that scales from prototype to production. Cerebras makes it possible to integrate gpt-oss-120B into demanding workloads—including agentic reasoning, knowledge retrieval, and long-context generation—with ease and speed. Performance and Pricing - Throughput: 3000 tokens per second - Input: $0.25 per million tokens - Output: $0.69 per million tokens About the Model: OpenAI’s gpt-oss-120B gpt-oss-120B is OpenAI’s most capable open-weight model, released under the Apache 2.0 license. It uses a Mixture-of-Experts architecture with 117 billion total parameters, 5.1 billion active parameters per token, and a 128-expert configuration across 36 layers. The model supports a 128k context window, enabling complex multi-turn reasoning and long-form memory. The model…

Qwen3 Coder 480B is Live on Cerebras August 01, 2025

Alibaba's Qwen3 Coder 480B Instruct model is now available on Cerebras. Qwen3 Coder is one of the top coding models in the world with coding ability that rivals Claude 4 Sonnet and Gemini 2.5. Running on the Cerebras Wafer Scale Engine, Qwen3 Coder reaches an unprecedented 2,000 tokens per second. Coding problems that take 20 seconds on Sonnet 4 finish in just one second on Cerebras. To make Qwen3 Coder widely accessible, we are also launching Cerebras Code – two monthly subscription plans with generous rate limits at $50 and $200 per month. Just two weeks after launch, Alibaba’s Qwen3 Coder 480B has soared in adoption, reaching #2 in OpenRouter’s coding model leaderboard, overtaking Gemini 2.5, DeepSeek V3, Kimi K2, and Claude 4 Opus. It’s widely praised as the first model that matches Claude 4 Sonnet – the industry’s leading…

Introducing Cerebras Code August 01, 2025

We are launching two new plans designed to make AI coding faster and more accessible: Cerebras Code Pro ($50/month) and Code Max ($200/month). Both plans give you access to Qwen3-Coder, the world’s leading open-weight coding model—running at speeds of up to 2,000 tokens per second, with a 131k-token context window, no proprietary IDE lock-in, and no weekly limits! Cerebras Makes Code Generation Instant Even with the best frontier models, you still end up waiting around for completions. And as coding workflows get more agentic, the latency adds up fast. You’re not just waiting once. You have to wait on every LLM call across multi-step edits, tool use, retries, and planning. At 2,000 tokens per second, code generation becomes instant. And starting at $50/month, anyone can use Cerebras Code and enjoy fast code generation that keeps you in flow. Powered by…

From Zero to Sudoku Hero: An RL Adventure August 01, 2025

Abstract To tackle complex, real-world problems, Large Language Models (LLMs) need to learn how to reason, plan, and adapt. Our recent work on test-time scaling, CePO, demonstrated that even medium-sized models (<= 32B parameters) can outperform much larger frontier models by using adaptive planning, tool use, and self-correction [1]. We believe we can push these capabilities even further by teaching LLMs to break down challenging tasks into smaller steps, advancing when successful and backtracking when they hit a wall. This post presents our work on teaching these skills using online Reinforcement Learning (RL). Our journey begins with an ideal proxy for this kind of challenge: Sudoku. While its rules are simple, solving difficult puzzles requires significant planning and the ability to backtrack from incorrect assumptions, making it a perfect testbed for teaching an LLM the foundational skills of long-horizon reasoning.…

Qwen3 235B 2507 Instruct Now Available on Cerebras July 29, 2025

Alibaba's Qwen3 235B 2507 Instruct model is now available on Cerebras. The world’s leading non-reasoning model – Qwen3 235B Instruct runs at over 1,400 tokens per second – 11x faster than the leading GPU cloud. We serve the model with 131K context and FP8 weights from our US based data centers. Priced at $0.60 per million input tokens and $1.20 per million output tokens, Qwen3 235B 2507 on Cerebras delivers best-in-class intelligence, speed, and price-performance. Qwen3 235B2507 Instruct Following developer feedback, the Qwen team developed two separate models based on Qwen3 235B – a thinking and non-thinking version. Qwen3-235B-A22B-Instruct-2507 is the non-thinking model, achieving state-of-the-art results among non-reasoning models. It outperforms GPT-4.1, Claude Opus 4, DeepSeek V3, and Kimi K2 in the Artificial Analysis Intelligence Index – a blended score across seven benchmarks representing general knowledge, reasoning, coding, and STEM.…

Cerebras June Highlights July 02, 2025

🔥 June at : Speed, Scale & Real-World AI 🔥 - No more waitlist – the world’s fastest inference API is now open to all - SUPERNOVA goes global – next stop: Paris, for the RAISE Summit - Live at ICML – meet us in Vancouver for talks, demos, and real-time ML - ICYMI – Mistral’s Magistral, IBM enterprise AI, and NinjaTech’s 16-agent super-assistant are all running on Cerebras Ready to see what next-gen AI really looks like? Let’s dive in 👇 Supernova Takes Paris | July 8–9, 2025 This is your exclusive invitation to Supernova Paris: THE VIP Experience at the RAISE Summit in Paris. We’re bringing the world’s fastest inference engine and most powerful AI training system to the stage, with speakers including Jessica Liu (Cerebras), Dr. Shant Ayanian (Mayo Clinic), Andrei Papancea (NLX), Robin Rombach (Black Forest…