UPGRADE FOR LESS*FREE SHIPPING**NEW! GET AN M2 WITH i9-14900HX

Focus M2 GEN 5

Developer and Data Science Laptop

Get the best Machine Learning and AI Laptop with a 32-core i9-14900HX processor and up to 16 GB RTX 4090 Use the GPU-accelerated Focus Deep Learning Suite to start developing AI pipelines in minutes.

Up to 30x Faster ML

AI & MACHINE LEARNING

UP TO 30X FASTER TENSORFLOW[1]

Run GPU-accelerated AI in minutes with the Focus Deep Learning Suite. This installs and test Anaconda, TensorFlow, PyTorch, and Jupyter Notebook. Use industry-standard PyCharm from the included Jetbrains Toolbox. Work reliably with Focus validated upgrades for this the suite, CUDA, cuDNN, and TensorRT libraries. All delivered through normal software updates.

See an astounding 90% performance increase with the RTX 4090 over the RTX 3080 Ti on AI Bench. Even the RTX 4080 is 53% faster. The 40-series GPUs use TSMC "4N" lithography and therefore are substantially more efficient and faster than the 30-series GPUs.

AI BENCH RESULTSRTX 4090 MRTX 4080 MRTX 4070 MRTX 3080 Ti MRTX 4060 MRTX 3070 Ti MRTX 3060 M
Inference25,76521,07713,34314,24511,84313,15310,265
Training31,36125,20115,87216,03414,16414,78211,806
AI Score57,12646,27729,21530,27926,00727,93522,071
Video RAM16 GB12 GB8 GB16 GB8 GB8 GB6 GB

Of course, the M2 can do far more than just AI, ML, and data science! Develop Apache Spark big data projects. Render Blender Optix scenes. Coordinate Kubernetes clusters. Build every asset of a web app simultaneously. Experience complex games and simulations with incredible frame rates. Focus on your work while our team delivers powerful optimizations, tools, and upgrades developed and tested for your hardware[2].

[1] Versus CPU-only ML pipelines.

[2] Focus retains copies of models and validates upgrades on them for a minimum of 3 years after last sale date. Canonical, Ubuntu, and Kubuntu define LTS OS support periods, and Focus provides optimizations, tools, and docs for a given OS during this time.

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