sales@emi-ic.com

H12690-300

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RFQ (Request for Quotations)

It is recommended to request for quotations to get the latest prices and inventories about the part.
Our sales will reply to your request by email within 24 hours.

IMPORTANT NOTICE

1. You’ll receive an order information email in your inbox. (Please remember to check the spam folder if you didn’t hear from us).
2. Since inventories and prices may fluctuate to some extent, the sales manager is going to reconfirm the order and let you know if there are any updates.

Product Specification: H12690-300

CategoryParameterSpecification / ValueNotes / Conditions
GeneralModel NumberH12690-300
Product Name[e.g., ExaScale AI Training Cluster Rack]*”300″ signifies a 300 PetaFLOPs+ performance tier*
Product Type[e.g., Multi-Rack Scale System]May encompass multiple physical racks as one logical unit
Solution SKUPre-validated for ExaScale-Class AI TrainingThe ultimate turnkey solution for frontier models
System Scale & ArchitecturePhysical FootprintMultiple 42U Racks (e.g., 4-8 Racks as a single system)A “cluster in a box” at rack-scale
Total System Power> 200 kWRequires dedicated data center power and cooling
Compute Density> 300 GPUs (e.g., 32 nodes x 8 GPUs, or 75 nodes x 4 GPUs)The “300” may refer to the GPU count
Fabric ArchitectureFull, Non-Blocking 800 Gb/s (NDR) or 1.6 Tb/s (XDR) InfiniBand FabricNext-generation fabric to eliminate communication bottlenecks
Liquid CoolingRack-level, Direct-to-Chip Liquid Cooling for all CPUs and GPUsMandatory for this density and power
Aggregate PerformanceAI Compute (FP8)> 300 PetaFLOPSThe definitive performance target of this SKU
AI Compute (FP16)> 150 PetaFLOPS
Total GPU Memory> 60 Terabytes (e.g., with 300x 200GB GPUs)Enables training of trillion-parameter models with ease
Parallel File SystemMulti-petabyte, all-NVMe parallel file systemSustained throughput > 1 Terabyte/s
Software & StackCluster OSCustomized Linux distribution for large-scale HPC/AI
Orchestration & SchedulerEnhanced Slurm or Kubernetes for 10,000+ core jobs
AI Framework OptimizationDeeply optimized PyTorch and TensorFlow distributions
Monitoring & ManagementCentralized system-wide view of health, performance, and power/thermal dataAI-powered predictive maintenance
Solution & SupportProfessional ServicesMandatory on-site deployment by specialized engineering team
Support24/7/365 Mission-critical support with dedicated engineersGuaranteed SLAs
Solution ValidationCertified for training state-of-the-art LLMs (e.g., GPT-4 class and beyond)

Shipping Method

Currently, our products are shipped through DHL, FedEx, SF, and UPS.

Delivery Time

Once the goods are shipped, estimated delivery time depends on the shipping methods you chose:

FedEx International, 5-7 business days.

The following are some common countries’ logistic time.

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