Gigabyte MS33-AR0 MicroBlade Server Sled

The Gigabyte MS33-AR0 MicroBlade Server Sled is a next-generation compute module engineered around the AMD EPYC 9004 series (Genoa) processor architecture, designed to slot directly into Gigabyte's high-density MicroBlade chassis infrastructure. Each sled supports a single AMD EPYC 9004 processor with up to 96 Zen 4 cores, paired with eight DDR5 DIMM slots supporting registered ECC memory at speeds up to 4800 MT/s. The EPYC 9004 platform introduces PCIe 5.0 and CXL 1.1 interconnect support, delivering double the I/O bandwidth compared to previous-generation Genoa predecessors, making the MS33-AR0 a compelling upgrade path for cloud service providers and hyperscale operators already invested in the MicroBlade ecosystem.

The MS33-AR0 is architected for maximum compute density within a shared chassis form factor where power delivery, cooling, and networking infrastructure are aggregated at the enclosure level. The sled exposes PCIe 5.0 lanes for NVMe storage and networking expansion, while the EPYC 9004's integrated memory controller supports up to 12-channel DDR5 per socket, enabling substantial memory bandwidth improvements critical for in-memory analytics, AI inference, and high-frequency virtualization workloads. The blade-form design eliminates redundant per-node power supplies and fans, reducing per-core TCO and physical rack footprint simultaneously.

Targeted at hyperscale cloud providers, colocation facilities, HPC centers, and enterprises managing large-scale virtualized or containerized workloads, the MS33-AR0 benefits from the EPYC 9004's advanced security features including AMD SEV-SNP (Secure Encrypted Virtualization-Secure Nested Paging) for confidential computing environments. The sled integrates with Gigabyte's IPMI-based out-of-band management framework, enabling centralized monitoring and lifecycle management across entire MicroBlade chassis deployments. The combination of high core density, PCIe 5.0 I/O, and DDR5 memory positions the MS33-AR0 as a purpose-built solution for cloud-native, AI-assisted, and data-intensive enterprise workloads.

Ideal for

• Hyperscale cloud provider infrastructure requiring maximum vCPU density per rack unit with centralized power and thermal management
• High-frequency virtualization and containerized workload consolidation using KVM or VMware vSphere at enterprise scale
• Confidential computing deployments leveraging AMD SEV-SNP for tenant workload isolation in multi-tenant colocation environments
• AI inference serving farms where high core counts and DDR5 memory bandwidth accelerate model throughput without discrete GPU dependency
• HPC cluster nodes for parallel scientific simulations and computational fluid dynamics benefiting from Zen 4 IPC improvements and PCIe 5.0 storage throughput
• Edge data center deployments demanding dense compute capacity within constrained physical footprints and shared power infrastructure

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.