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

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GigaIO and SourceCode have teamed up to bring the world an ultra-portable yet supercomputer-class device for AI needs. The Gryf weighs 55 pounds or less and packs into a TSA-compliant carry-on suitcase.

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

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

(Image credit: GigaIO)

Each Gryf has multiple slots populated with compute, storage, accelerator, and network sleds depending on the workload. The suitcase-sized supercomputer has six sled slots for inserting and removing modules as needed.

For AI or ML workloads, for example, you can deploy two compute sleds, one accelerator sled, two storage sleds, and one network sled. Are you moving towards a storage project? Change the configuration to include one compute sled and five storage sleds instead.

(Image credit: GigaIO)

Following are the specifications and capabilities for each type of sled and the Gryf platform itself:

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Calculate the 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
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Accelerator sled
Accelerator slot Single/double wide PCIe-FHFL form factor, up to 350W
Accelerator (1) Nvidia L40S-48GB (other options to be eligible)
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Storage sled
Storage (8) 30TB NVMe-E1.L SSD (246TB total)
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Network sled
Ports (2) QSFP56-100GbE, copper/optical
Row 1 – Cell 0 (6) SFP28-25GbE, copper/optical
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Griff Platform
Sledge slots (6) Anywhere for Compute Sledge, Accelerator Sledge, Storage Sledge, Network Sledge
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 data offload to Gryf daisy chaining or home base
Management network (5) RJ45-10GbE/1GbE for FabreX Fabric Manager and Out-of-Band (OOB) Baseboard Management Controller (BMC) / IPMI
Software The GigaIO FabreX Fabric Manager is preloaded.
Row 5 – Cell 0 Linux and 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
fan (6) 60mm fans are dynamically optimized for the system workload.
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)
The weight Less than 55 lbs (24.95 kg) maximum
Enclosure Rugged carbon fiber, detachable top with folding handle, detachable bottom with wheels
Ambient Operating Temperature: 10°C to 32°C (50°F to 90°F)
Eligibility for service Field Replaceable Units (FRUs): Sledges, Power Supplies, Fan Trays with Fan Filtration, Case Top and Bottom Covers
compliance FCC Class A, CE
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