Home Artificial Intelligence Portable AI supercomputer comes as a carry-on suitcase with wheels — four GPUs, 246TB of storage, and a 2,500W integrated power supply

Portable AI supercomputer comes as a carry-on suitcase with wheels — four GPUs, 246TB of storage, and a 2,500W integrated power supply

GigaIO and SourceCode have teamed up to bring the world an ultraportable but still supercomputer-class device for AI needs. The Gryf weighs 55 pounds or less and is packed into a TSA-friendly carry-on suitcase.

Despite the small form factor, Gryf can accommodate data collection and processing on a scale that would otherwise require sending the data offsite. This revolutionary development for use cases requires quick processing and analysis turnaround.

Gryf is a suitcase-sized supercomputer that supports disaggregating and reaggregating its GPUs. The user can customize the computer’s hardware configuration in the field on the fly. You can create the optimal hardware configuration for one assigned workload and then change it for the next.

(Image credit: GigaIO)

Each Gryf contains multiple slots populated with compute, storage, accelerator, and network sleds tailored to the workload. The suitcase-sized supercomputer has six sled slots to insert and remove modules from as needed. 

For AI or ML workloads, for example, you might plug in two compute sleds, an accelerator sled, two storage sleds, and a network sled. Are you moving on to a storage project? Change the configuration to incorporate one compute sled and five storage sleds instead.

(Image credit: GigaIO)

The specifications and capabilities for each type of sled and the Gryf platform itself are as follows:

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Compute sled
CPU (1) AMD EPYC 7003 series, 7313, 16 cores/32 threads, 155W, 3Ghz base/3.7Ghz turbo
System Memory (4) 64 GB DDR4 DIMMs (256 GB total), 3,200Mhz max
OS Storage (1) 512GB NVMe-M.2 SSD
OS Support Linux Rocky 8/9 or Ubuntu 20/24
Networking (2) QSFP56/QSFP28/QSFP+ 100GbE, copper/optical
BMC / IPMI Via platform RJ45
Swipe to scroll horizontally
Accelerator sled
Accelerator Slot Single/Double-wide PCIe-FHFL form factor, up to 350W
Accelerator (1) Nvidia L40S-48GB (other options to be qualified)
Swipe to scroll horizontally
Storage sled
Storage (8) 30TB NVMe-E1.L SSD (246TB total)
Swipe to scroll horizontally
Network sled
Ports (2) QSFP56-100GbE, copper/optical
Row 1 – Cell 0 (6) SFP28-25GbE, copper/optical
Swipe to scroll horizontally
Gryf platform
Sled Slots (6) for Compute Sled, Accelerator Sled, Storage Sled, Network Sled in any location
AI Memory Fabric Internal: PCIe 256Gb/s board-to-board
Row 2 – Cell 0 Expansion: (8) FabreX Mini-SAS-HD-32G 32Gb/s (256Gb/s total) for Gryf daisy-chaining or data offload at home base
Management Network (5) RJ45-10GbE/1GbE for FabreX Fabric Manager and out-of-band (OOB) baseboard management controller (BMC) / IPMI
Software GigaIO FabreX Fabric Manager Preloaded
Row 5 – Cell 0 Linux & libraries: GPUDirect RDMA (GDR), Libfabric, and NVMe-oF
Power Dual AC/DC 2,500W 1+1 power supplies
Row 7 – Cell 0 IEC-320-C13 power inlet, 100-240 VAC @ 50 to 60Hz
Fans (6) 60mm fans dynamically optimized for system workloads
Fan Filters Removable 45 PPI filters
Dimensions With wheels: 9.00″ x 14.00″ x 24.50″ (228.6mm x 355.6mm x 622.3mm)
Row 11 – Cell 0 Without wheels: 9.00” x 14.00” x 22.00” (228.6mm x 355.6mm x 558.8mm)
Weight Less than 55 lbs (24.95 kgs) max
Enclosure Ruggedized carbon fiber, detachable top with folding handle, detachable bottom with wheels
Environment Operating temperature: 10°C to 32°C (50°F to 90°F)
Serviceability Field replaceable units (FRUs): sleds, power supplies, fan tray with fan filtration, case top and bottom covers
Compliance FCC Class A, CE



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