Alex Medick

Explore Meta’s powerful new Llama 4 models—Scout and Maverick—on TensorWave’s high-performance AMD-powered AI cloud.

TensorWave Empowers Developers with Meta’s Llama 4 Scout and Maverick Models

Meta has unveiled its latest advancements in AI: Llama 4 Scout and Llama 4 Maverick. These cutting-edge, multimodal models are designed to process and integrate various data types—including text, images, and video—ushering in a new era of AI capabilities.

As a proud Llama partner, TensorWave is excited to offer optimized infrastructure tailored for these models. Our AI and HPC cloud, powered by the latest AMD Instinct™ accelerators, provides developers with the high-performance compute resource

Meta has unveiled its latest advancements in AI: Llama 4 Scout and Llama 4 Maverick. These cutting-edge, multimodal models are designed to process and integrate various data types—including text, images, and video—ushering in a new era of AI capabilities.

As a proud Llama partner, TensorWave is excited to offer optimized infrastructure tailored for these models. Our AI and HPC cloud, powered by the latest AMD Instinct™ accelerators, provides developers with the high-performance compute resources necessary to fully leverage Llama 4’s potential. 


Meet the Models

Llama 4 Maverick: The Multilingual Workhorse

Built for scale and performance in demanding AI applications.

✅ 1M-token context*: Handle massive codebases, research archives, or years of chat history
✅ 400B total params, 128 experts: Precision, speed, and creativity
✅ 12-language support: Global reach out of the box

Use Cases:

🌍 Multilingual agents w/ visual input🎨 Creative generation from multimodal docs (PDFs, slides)📑 Complex document Q&A (text + charts + diagrams)

Llama 4 Scout: Efficient, Long-Context Reasoning

Smaller footprint, still massive capability.

✅ 10M-token context: Think textbooks, full repositories, long user histories
✅ 109B total params, 16 experts: Highly efficient and surprisingly powerful
✅ Multimodal support: Handle images with ease

Use Cases:

📚 Legal or financial multi-doc summarization
🤖 Agent memory over years of user interaction
🖼️ Lightweight multimodal input parsing

Key Features of TensorWave’s Infrastructure for Llama 4:

 * Bare-Metal Performance: Experience zero virtualization overhead with direct hardware access, ensuring maximum efficiency for your AI workloads.
 * Scalability: Seamlessly scale your applications to meet the demands of Llama 4’s advanced processing capabilities.
 * Cost-Effective Solutions: Benefit from our competitive pricing models, designed to provide top-tier performance without breaking the bank.

By integrating Meta’s Llama 4 models with TensorWave’s robust infrastructure, developers can unlock unprecedented opportunities in AI development. Whether you’re working on complex data analysis, creating immersive multimedia experiences, or pushing the boundaries of machine learning, TensorWave is here to support your journey.

Explore the future of AI with Llama 4 and TensorWave’s high-performance cloud solutions.

Get started → https://tensorwave.com


About TensorWave

TensorWave is the AI and HPC cloud purpose-built for performance. Powered exclusively by AMD Instinct™ Series GPUs, we deliver high-bandwidth, memory-optimized infrastructure that scales with your most demanding models—training or inference.

Ready to get started? Connect with a Sales Engineer.

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TensorWave Empowers Developers with Meta’s Llama 4 Scout and Maverick Models

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