Lambda, an artificial intelligence solutions provider, has teamed up with American Razer to offer the Tensorbook, a powerful Blade 15-based laptop computer that runs on Linux.
Razer has been selling its Blade laptops for about a decade now, and from the start they’ve always sold with the Windows operating system. This would not be the case for Razer x lambda tensorbook, a $3,500 computer identical in every respect to the 2021 Razer Blade 15 Advanced that will ship for the first time with Linux (Ubuntu). This machine is beautiful and very formal, the result of a signed partnership with Razer.
Aimed at developers and researchers working in the fields of artificial intelligence and machine learning, this computer features an 11th generation Intel Core i7 processor, an Nvidia RTX 3080 Max-Q graphics card, a 2TB NVMe PCIe SSD 4.0 storage and 64GB of RAM, all supported It has an 80-watt battery with a capacity of 1440 pixels and 165 Hz with a 15.6-inch diagonal screen. Professionals who take advantage of it will be able to count on full connectivity: an HDMI 2.1 output, two Thunderbolt 4 compatible USB-C ports, three USB-A 3.2 Gen 2 ports, an SD card reader, and even Wi-Fi 6e and Bluetooth 5.2 for connectivity. 35.5 x 23.5 inches for 1.69 inches thick and 2.02 pounds on the scale.
Guaranteed software support
No wonder from a component standpoint, but this one has its own unique character: Available in silver, the blades have a black anodized aluminum finish. It also comes with the latest Linux drivers and machine learning tools such as PyTorch, TensorFlow, CUDA, and cuDNN. It is also possible to associate premium access to the support team with purchase. Lambda also highlights its expertise with this specific target, already providing turnkey solutions for dozens of research groups (GPUs, servers, workstations, etc.).
Anyway, it’s interesting to see Razer take an interest in Linux again through this partnership, as the US brand has often assumed it would invest more in this ecosystem without this actually materializing. For Lambda, this allows it to rely on an installed base of laptops, offering a high-performance configuration capable of sustaining “Four times faster in TensorFlow processing than the MacBook Pro 16 powered by the Apple M1 Max”. An assurance that AI specialists will undoubtedly fail to verify it.
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