GigaIO and SourceCode have teamed as a lot as ship the world an ultraportable nonetheless nonetheless supercomputer-class system for AI desires. The Gryf weighs 55 kilos or a lot much less and is packed proper right into a TSA-friendly carry-on suitcase.
Whatever the small variety situation, Gryf can accommodate information assortment and processing on a scale that will in another case require sending the data offsite. This revolutionary enchancment for use situations requires quick processing and analysis turnaround.
Gryf is a suitcase-sized supercomputer that helps disaggregating and reaggregating its GPUs. The buyer can customise the laptop’s {{hardware}} configuration throughout the self-discipline on the fly. You presumably can create the optimum {{hardware}} configuration for one assigned workload after which change it for the next.
Each Gryf incorporates a variety of slots populated with compute, storage, accelerator, and neighborhood sleds tailored to the workload. The suitcase-sized supercomputer has six sled slots to insert and take away modules from as wished.
For AI or ML workloads, for example, you might plug in two compute sleds, an accelerator sled, two storage sleds, and a neighborhood sled. Are you transferring on to a storage mission? Change the configuration to incorporate one compute sled and 5 storage sleds as an alternative.
The specs and capabilities for each form of sled and the Gryf platform itself are as follows:
CPU | (1) AMD EPYC 7003 sequence, 7313, 16 cores/32 threads, 155W, 3Ghz base/3.7Ghz turbo |
System Memory | (4) 64 GB DDR4 DIMMs (256 GB complete), 3,200Mhz max |
OS Storage | (1) 512GB NVMe-M.2 SSD |
OS Help | Linux Rocky 8/9 or Ubuntu 20/24 |
Networking | (2) QSFP56/QSFP28/QSFP+ 100GbE, copper/optical |
BMC / IPMI | By means of platform RJ45 |
Accelerator Slot | Single/Double-wide PCIe-FHFL variety situation, as a lot as 350W |
Accelerator | (1) Nvidia L40S-48GB (totally different decisions to be licensed) |
Storage | (8) 30TB NVMe-E1.L SSD (246TB complete) |
Ports | (2) QSFP56-100GbE, copper/optical |
Row 1 – Cell 0 | (6) SFP28-25GbE, copper/optical |
Sled Slots | (6) for Compute Sled, Accelerator Sled, Storage Sled, Group Sled in any location |
AI Memory Materials | Inside: PCIe 256Gb/s board-to-board |
Row 2 – Cell 0 | Enlargement: (8) FabreX Mini-SAS-HD-32G 32Gb/s (256Gb/s complete) for Gryf daisy-chaining or information offload at home base |
Administration Group | (5) RJ45-10GbE/1GbE for FabreX Materials Supervisor and out-of-band (OOB) baseboard administration controller (BMC) / IPMI |
Software program program | GigaIO FabreX Materials Supervisor Preloaded |
Row 5 – Cell 0 | Linux & libraries: GPUDirect RDMA (GDR), Libfabric, and NVMe-oF |
Power | Twin AC/DC 2,500W 1+1 vitality gives |
Row 7 – Cell 0 | IEC-320-C13 vitality inlet, 100-240 VAC @ 50 to 60Hz |
Followers | (6) 60mm followers 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 | With out wheels: 9.00” x 14.00” x 22.00” (228.6mm x 355.6mm x 558.8mm) |
Weight | Decrease than 55 lbs (24.95 kgs) max |
Enclosure | Ruggedized carbon fiber, detachable prime with folding take care of, detachable bottom with wheels |
Setting Working temperature: | 10°C to 32°C (50°F to 90°F) |
Serviceability | Self-discipline replaceable fashions (FRUs): sleds, vitality gives, fan tray with fan filtration, case prime and bottom covers |
Compliance | FCC Class A, CE |
In response to GigaIO and SourceCode, a single Gryf could possibly be configured to course of over a petabyte of knowledge. Using GigaIO’s FabreX memory fabric, the Gryf may also be stacked with as a lot as 4 totally different Gryfs for further demanding workloads.
As quickly as once more throughout the information center, the FabreX memory fabric permits Gryf to attach with the core laptop computer, a GigaPod, for the additional demanding processing and analysis duties. Pretty than prepared for days to transmit the data over net connections, engineers collect and begin processing the data the place it was gathered, then cart it off to the data center.
Citing the desires of Division of Safety shoppers, GigaIO CEO Alan Benjamin recognized the need to collect and course of data the place it occurred throughout the self-discipline.
“That’s true for our Division of Safety shoppers, who’ve emphasised the essential need for effectively timed and actionable intelligence throughout the self-discipline. Gryf’s novel construction, made potential by FabreX, our AI memory fabric, presents these shoppers the superior compute, storage, and GPU capabilities they crave in at current’s sensor-rich edge environments.”
The companies didn’t disclose pricing for the Gryf, nonetheless the mobile supercomputer is available for purchase now.
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