heterogeneous computing power Up to 8 x dual width PCIe Gen4 acceleration cards in 4U: verified support for NVIDIA A100/H100, AMD Instinct, Intel Habana, Cambrian MLU, Suiyuan, Inspur self-developed M10A VPU, etc 2 x AMD EPYC 7003 (Milan/Milan-X), up to 64 cores/280 W per chip, 128 cores/256 threads, 1536 MB L3 Cache; 32 x DDR4 DIMM, maximum 8 TB, memory bandwidth 750 GB/s CPU-GPU direct connection topology (without PCIe Switch), latency reduced by 200-300 ns, single CPU ? GPU bandwidth of 128 GB/s, 4 times higher than traditional solutions Storage and IO Front window 12 × 3.5 ″/2.5 ″ hot swappable (SAS/SATA/NVMe hybrid)+2 × M.2 NVMe mirror boot Rear window 2 x 2.5 "+1 x OCP 3.0 network card (hot swappable, 1 min replacement)+3 x single width PCIe x16 (25/100/200 GbE or RAID card) Optional 8/16 port 12 Gb/s RAID card, supporting RAID 0/1/5/6/10/50/60 Power supply and heat dissipation 4 x 2200 W 80 PLUS Platinum (1600-3000 W range), supporting 3+1 or 2+2 redundancy Mid mounted "fan wall" (6 sets of sub fan modules)+partitioned air guide cover, forming CPU/GPU independent air ducts; Can stably load 2 × 280 W CPUs+8 × 300 W GPUs, with a temperature of approximately 60 ℃ when the GPU continues to operate at 330-340 W Performance testing (official prototype: 2 x EPYC 7543 32C+512 GB DDR4+8 x A100 40 GB) HPL CPU Floating Point: 4.2 TFLOPS (Double Precision) Memory bandwidth: 373 GB/s (efficiency 91%) ResNet50 training: 21 486 images/s (8 × A100) ResNet50 inference: 13% increase compared to T4 nominal value Video transcoding: M10A VPU single card ETHASH 108 MH/s, RTX3090 350 W continuous 60 ℃ typical scenario Billion parameter large model training/fine-tuning, CV/NLP/speech recognition, video encoding and decoding, blockchain HPC、 Cloud gaming, metaverse rendering
ציינו מק"ט, כמות ותאריך יעד. נאשר מלאי או זמן אספקה, נציע חלופה אם אין במלאי, ונוציא חשבונית מסחרית עם קוד מכס.
