AI Now ‘Sees’ and Speaks! Gemma 4, Opening the Era of Real-time Multimodal with Speeds Beyond GPUs on Cerebras

Imagine this: you wake up, show a picture to your AI assistant, and ask, “What kind of flower is this, and how do I grow it?” The AI immediately recognizes the flower in the photo and responds with detailed information in text. This is no longer an AI that only understands text. Now, AI can ‘see’ the images we show it and ‘speak’ about them. The technology making this future a reality is Gemma 4, the latest Multimodal AI Model (Artificial intelligence that understands and processes multiple forms of information simultaneously) developed by Google DeepMind. This powerful AI model is now available through Cerebras Inference, and what’s astounding is that it operates at speeds up to 10 times faster than traditional GPUs (Graphics Processing Units). This is a historic moment that will fundamentally change how we interact with AI. Source Gemma 4 on Cerebras—The Fastest Inference is Now Multimodal, Source Gemma 4 on Cerebras—The Fastest Inference is Now Multimodal, Source The fastest inference is now - Cerebras, Source Gemma 4 on Cerebras: 1,851 TPS Multimodal Inference …, Source Welcome Gemma 4: Frontier multimodal intelligence on device, Source Gemma4is nowon@CerebrasInference, running up to 10xfasterthan GPUs (1,500 tokens/sec). Multimodal generations you can iterate on in real time, Source Gemma4models are multimodal, handling text and image input and generating text output.

Why It Matters

Why does the combination of Gemma 4 and Cerebras hold such significant meaning? The core lies in AI’s ability to process complex information ‘in real-time’. Previous AIs were often excellent at understanding text, or took considerable time for image analysis. However, this innovative combination allows AI to grasp images we show it in the blink of an eye, simultaneously understand text commands, and react instantly.

Simply put, AI goes beyond merely processing information; it can fully perceive and communicate with the surrounding world, much like a human seeing with eyes and hearing with ears. Imagine this: analyzing complex CCTV footage in real-time to immediately detect potential threats or unusual signs, or a surgeon in an operating room showing a patient’s medical image to AI to instantly obtain crucial information and utilize it for diagnosis. Or a robot arm in a factory accurately recognizing and picking up countless parts in front of it. In almost every field imaginable, AI’s capabilities will improve explosively, to an incomparable degree. This doesn’t just mean AI gets smarter; it means AI can ‘see’ and ‘understand’ our surrounding world and interact with us much more naturally and intuitively. It’s a revolutionary change, much like the technological upgrade from an old black-and-white telephone to high-definition video calls, completely altering the way we communicate with AI. Source Gemma 4 on Cerebras—The Fastest Inference is Now Multimodal, Source Gemma 4 on Cerebras—The Fastest Inference is Now Multimodal, Source Gemma4is nowon@CerebrasInference, running up to 10xfasterthan GPUs (1,500 tokens/sec). Multimodal generations you can iterate on in real time

The Explainer: The Magic of Gemma 4 and Cerebras

Gemma 4: AI’s ‘Brain’ Traversing Text and Images

Gemma 4 is the latest series of AI models developed by Google DeepMind, an embodiment of Google’s capabilities as a leader in artificial intelligence research. These models are built upon the same research and technology as the existing powerful Gemini models and are specifically designed as Open Models (AI models whose source code is open, allowing anyone to freely use and modify them) for free use by many developers and enterprises. Source Gemma 4 — Google DeepMind, Source Gemma 4 by Google - Open AI Language Model, Source The Gemma 4 family of multimodal models by Google DeepMind is out on Hugging Face, with support for your favorite agents, inference engines, and fine-tuning libraries.

While previous AIs specialized primarily in either text or images, Gemma 4’s biggest feature is its multimodal (the ability to simultaneously understand and process various forms of data) capability. Source Gemma 4 is a multimodal model. For example, imagine taking a photo of a plant with your smartphone and asking, “What is this plant called, and how do I grow it?” Gemma 4 can ‘see’ the photo, recognize the plant, and then answer your text question. This enables much more natural interaction that was impossible for AIs that only understood text. Source Gemma 4 models are multimodal, handling text and image input and generating text output.

Cerebras: The ‘Super Engine’ Accelerating AI

So, why is such a smart Gemma 4 gaining attention with ‘Cerebras’? Cerebras Systems is a company that manufactures hardware specialized for AI computation, particularly known for its technology that dramatically shortens inference (the process by which an AI model predicts or classifies new data based on learned data) speed. It drastically reduces the time it takes for AI to receive input information and produce results. Source The fastest inference is now - Cerebras

When running Gemma 4 in a Cerebras Inference environment, it can astonishingly process over 1,500 tokens (the smallest unit of information such as text or images) per second. Source Gemma 4 on Cerebras—The Fastest Inference is Now Multimodal, Source Gemma 4 on Cerebras: 1,851 TPS Multimodal Inference … The specific model, Gemma 4 31B, boasts an astounding speed of 1,851 tokens per second. This is up to 10 times faster than conventional GPUs (Graphics Processing Units)! Source The fastest inference is now - Cerebras, Source Gemma4is nowon@CerebrasInference, running up to 10xfasterthan GPUs (1,500 tokens/sec). Multimodal generations you can iterate on in real time Such overwhelmingly fast speeds are essential for AI applications that need to react instantly to real-time changing situations. Metaphorically, if Gemma 4 is a ‘genius brain’ processing complex information, Cerebras is like a ‘high-speed nervous system’ and ‘super engine’ that helps that brain react instantaneously and produce results at tremendous speed.

Where We Stand

Currently, Gemma 4 on Cerebras is in a Private Preview (a stage where features are released to specific users for feedback before official launch) phase, available only to a few partners, and is scheduled for public release at the end of June. Source Gemma 4 on Cerebras—The Fastest Inference is Now Multimodal, Source Gemma 4 on Cerebras—The Fastest Inference is Now Multimodal, Source Gemma 4 on Cerebras — The Fastest Inference is Now Multimodal This collaboration marks the first instance of multimodal models like Gemma 4 running on the Cerebras platform, opening wide the door for the development of various AI applications that were previously technically impossible. Source Gemma4is the first multimodal model on Cerebras!

The Gemma 4 model itself can already be found on AI model sharing platforms like Hugging Face and can be used with various inference frameworks (software tools required to run AI models and derive results) such as llama.cpp, vLLM, and MLX, providing developers with a wide range of options. Source The Gemma 4 family of multimodal models by Google DeepMind is out on Hugging Face, with support for your favorite agents, inference engines, and fine-tuning libraries., Source You can now run all GGUFs, MLX and fine-tune Gemma 4 in Unsloth Studio (see right). Furthermore, these models adhere to an open nature under the Apache 2.0 license, combined with robust enterprise-grade security protocols and reliability, making them safe to use. Source Safety Gemma 4 models undergo the same rigorous infrastructure security protocols as our proprietary models.

Notably, the Gemma 4 26B A4B model features a massive context window (the amount of information an AI model can understand and process at once) of 262,144 tokens and can output up to 32,768 tokens. This means AI can perfectly understand and remember the context of very long documents or complex conversations. Additionally, the QAT (Quantization-Aware Training) variant model (a model that maintains the performance of the original model while improving its size or efficiency) reduces memory requirements by approximately 3 times while preserving model quality, allowing powerful AI to run with fewer resources. Source Gemma 4 26B A4B is an instruction-tuned Mixture-of-Experts (MoE) model., Source QAT variants of Gemma 4 reduce memory requirements around 3x while preserving model quality.

To celebrate the advent of such innovative technology, Cerebras and Google DeepMind even hosted a 24-hour virtual hackathon to explore what can be built with the Gemma 4 31B model running at 1500 tokens/second on Cerebras. This makes us eager to see what ingenious ideas developers will bring to life using this powerful AI. Source Gemma4is the first multimodal model on Cerebras! What can you build with Gemma 4 31B running at 1500 tokens per second? Join the Cerebras x Gemma 4 24-hour virtual hackathon this Sunday to compete for $5,000 in prizes., Source Cerebras and Google DeepMind Gemma 4 24-Hour Hackathon!

What’s Next

The combination of Gemma 4 and Cerebras further heightens expectations for the future of AI technology. Moving forward, we will increasingly encounter AI applications capable of real-time image analysis. For instance, pointing a smartphone camera at a specific sign could instantly translate it into the desired language, assistive technologies for the visually impaired could provide richer descriptions of the environment to guide them or warn of dangers, or AI agents could visually understand complex data dashboards and take immediate action. These are just some of the possibilities that will transcend our imagination.

With the fusion of multimodal understanding and ultra-high-speed inference, humans and AI will be able to collaborate more naturally and seamlessly. AI’s ability to ‘see’ and ‘understand’ our world is no longer a distant future story but a reality deeply integrating into our daily lives. We can look forward to the astonishing changes AI will bring.

AI’s Take

The convergence of Gemma 4 and Cerebras marks a monumental event, elevating AI’s real-time multimodal processing capabilities to the next level. This signifies that AI can perceive and react to visual information, such as images, much faster and more accurately than just text. This advancement will trigger revolutionary changes across a wide range of fields including medical diagnosis, security surveillance, robotics, and user interfaces. Especially, the ‘real-time’ attribute is expected to enhance AI’s proactive interaction with our lives, strengthening its ability to predict and control. We anticipate AI becoming even more deeply embedded in our daily lives, functioning much like another intelligent companion.

References

1. Gemma 4 on Cerebras—The Fastest Inference is Now Multimodal - https://www.cerebras.ai/blog/gemma-4-on-cerebras-the-fastest-inference-is-now-multimodal
2. Gemma 4 on Cerebras—The Fastest Inference is Now Multimodal - https://www.linkedin.com/pulse/gemma-4-cerebrasthe-fastest-inference-now-multimodal-n8jve
3. The fastest inference is now - Cerebras - https://www.cerebras.ai/?via=aitoolhunt&ref=aitoolhunt&fpr=aitoolhunt
4. Gemma 4 on Cerebras: 1,851 TPS Multimodal Inference … - https://explainx.ai/blog/gemma-4-31b-cerebras-fastest-multimodal-inference-2026
5. Gemma 4 — Google DeepMind - https://gemma4.com/
6. Welcome Gemma 4: Frontier multimodal intelligence on device - https://huggingface.co/blog/gemma4
7. Gemma 4 on Cerebras — The Fastest Inference is Now Multimodal - https://x.com/cerebras
8. Gemma 4 models are multimodal, handling text and image input and generating text output. - https://ollama.com/library/gemma4
9. Gemma4is the first multimodal model on Cerebras! What can you build with Gemma 4 31B running at 1500 tokens per second? Join the Cerebras x Gemma 4 24-hour virtual hackathon this Sunday to compete for $5,000 in prizes. - https://digg.com/tech/fdounimc
10. Gemma 4 — Google DeepMind - https://deepmind.google/models/gemma/gemma-4/
11. Gemma 4 by Google - Open AI Language Model - https://gemmai4.com/
12. You can now run all GGUFs, MLX and fine-tune Gemma 4 in Unsloth Studio (see right). - https://unsloth.ai/docs/models/gemma-4
13. Cerebras and Google DeepMind Gemma 4 24-Hour Hackathon! - https://luma.com/cerebras-piwl
14. Safety Gemma 4 models undergo the same rigorous infrastructure security protocols as our proprietary models. - https://deepmind.google/models/gemma/gemma-4/
15. Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model. $0 per million input tokens, $0 per million output tokens. 262,144 token context window, maximum output of 32,768 tokens. Higher uptime with 11 providers. - https://openrouter.ai/google/gemma-4-26b-a4b-it:free
16. QAT variants of Gemma 4 reduce memory requirements around 3x while preserving model quality. - https://unsloth.ai/docs/models/gemma-4