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Dell PowerEdge R750XS – 2-Socket 24-Bay 2U Server with Dual Xeon Gold 6330, 512 GB RAM & Dual H200 NVL GPUs
Keywords
Dell PowerEdge R750XS, 2U 24-bay server, dual Xeon Gold 6330, 512 GB DDR5 RAM, H755 RAID controller, 7.68 TB SAS SSD, NVMe SSD expansion, NVIDIA H200 NVL GPU, ConnectX-7 400 Gb NIC, High-performance enterprise server, GPU accelerated server
Description
The Dell PowerEdge R750XS is a powerful 2U enterprise-grade server designed for compute-intensive tasks. Featuring dual Intel Xeon Gold 6330 processors (28 cores each), it delivers robust performance for virtualization, analytics, and AI workloads.
With a massive 512 GB of high-speed DDR5 RAM via 8 × 64GB modules, this server ensures smooth performance across memory-hungry applications. Storage is flexible: support for up to 16 SAS/SATA drives and 8 NVMe SSDs, populated with 16 × 7.68TB SAS SSDs and 8 × 7.68TB NVMe SSDs for both capacity and speed.
The onboard Dell H755 RAID controller and BOSS-S2 boot controller ensure optimized I/O and fast system startup. Networking is robust, featuring dual-port 10Gb RJ45 and 25Gb SFP28 adapters, plus a massive 400Gb ConnectX-7 NIC for low-latency data access.
GPU acceleration comes from dual NVIDIA H200 NVL cards connected via a dual-slot NVLink bridge, enabling superior AI, ML, and HPC throughput. Powerful dual 2400W PSUs ensure consistent uptime in demanding environments.
With iDRAC9 Enterprise for advanced management and a full rack-kit, this R750XS is a complete solution for AI, data center, and high-performance workloads.
Key Features
- Dual Intel Xeon Gold 6330 CPUs – 28 cores each
- 512 GB DDR5 RAM (8 × 64GB 5600MT/s)
- 24 hot-swappable 2.5″ bays: 16 SAS/SATA + 8 NVMe
- 16 × 7.68 TB SAS SSDs and 8 × 7.68 TB NVMe SSDs
- Dell H755 RAID and BOSS-S2 boot controller
- Network: 10Gb RJ45, 25Gb SFP28, and 400Gb ConnectX-7 NIC
- 2 × NVIDIA H200 NVL GPUs with NVLink
- Dual 2400W redundant PSUs for high availability
Configuration
Component | Specification |
---|---|
Chassis | 2U rack, up to 16 SAS/SATA + 8 NVMe 2.5″ bays |
Processors | 2 × Intel Xeon Gold 6330 (2.00 GHz, 28C/56T) |
Memory | 512 GB DDR5 (8 × 64 GB, 5600 MT/s) |
RAID | Dell PERC H755 |
Boot | BOSS-S2 controller with 2 × 480 GB M.2 SSDs |
Storage | 16 × 7.68 TB 12G SAS SSDs; 8 × 7.68 TB NVMe SSDs |
Network | BMC 5720 1Gb LOM; X710-T2 10Gb; 57414 25Gb; ConnectX-7 400Gb |
GPU | 2 × NVIDIA H200 NVL (141 GB HBM3e) with NVLink |
Power | Dual 2400W redundant power supplies |
Management | iDRAC9 Enterprise 16G |
Accessories | 2U Rack Kit |
Compatibility
- Supports Dell R750XS chassis (2nd/3rd Gen Intel Xeon Scalable) with PCIe Gen4 slots and OCP 3.0 network expansion :contentReference[oaicite:0]{index=0}.
- NVIDIA H200 NVL GPUs supported with NVLink connectivity; ideal for AI and HPC.
- Up to 24 × 2.5″ drive configuration supported (16 SAS/SATA + 8 NVMe).
Usage Scenarios
AI & Machine Learning Training:
With dual H200 GPUs linked via NVLink and high-density NVMe storage, this server excels in training large language models and deep learning frameworks.
Data Analytics:
Massively parallel cores and vast memory enable interactive analytics, real-time processing, and big data operations.
Virtualization & VDI:
High compute density, massive RAM, and fast storage cater perfect for virtual desktop infrastructure and multi-tenant environments.
High-Performance Compute (HPC):
Dense configuration with 400Gb networking supports low-latency, distributed compute clusters.
Frequently Asked Questions
- Are the H200 NVL GPUs supported in R750XS?
Yes—Dell’s GPU matrix confirms R750XS compatibility with H200 NVL with NVLink connectivity. - Can the R750XS house both SAS and NVMe drives?
Yes—the chassis supports up to 16 SAS/SATA and 8 NVMe 2.5″ drives concurrently. - Does the R750XS support PCIe Gen4 accelerators?
Yes, it offers multiple PCIe Gen4 slots and OCP 3.0 networking. - What workloads is this configuration best suited for?
AI/ML training, distributed analytics, HPC clusters, and high-density VDI—the combination of H200 GPUs, 400Gb networking, and 24-bay storage makes it versatile across demanding workloads.
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