Oracle Exadata X82 Datasheet [better]
| Feature | Specification | | --- | --- | | | 2-socket Intel Xeon (Cascade Lake) | | Storage Servers | 2-socket Intel Xeon with PMEM and NVMe flash | | Max Rack Configuration | 18 database servers + 18 storage servers (Full Rack) | | Key Innovation | Persistent Memory (PMEM) as extended cache / memory tier | | Network | RoCE (100 Gbps) for low-latency RDMA | | Maximum DRAM (per DB server) | 1.5 TB | | Maximum PMEM (per storage cell) | 12.8 TB | | Use Cases | High-throughput OLTP, AI/ML data pipelines, consolidated databases |
This comprehensive overview compiles critical specifications, architecture details, and core functionalities directly from the official system datasheet. Hardware Architecture and Configuration
PMEM is optional and requires Oracle Linux 8+ oracle exadata x82 datasheet
Options for 10/25 GbE SFP28 or 10GBASE-T ports.
HCC allows enterprises to dramatically compress data stores, typically achieving a 10x to 15x reduction for data warehouses and archiving workloads. Instead of organizing data strictly by rows or columns, HCC utilizes a hybrid approach within database blocks. This maximizes compression ratios while maintaining high query performance, directly lowering storage acquisition costs. Smart Flash Cache and Log Write Acceleration | Feature | Specification | | --- |
| Workload Type | X7-2 | X8M-2 | Improvement | | --- | --- | --- | --- | | | 150,000 IOPS | 1,200,000 IOPS | 8x | | Average Read Latency | 120 µs | 19 µs | 6.3x | | Redo Write Latency | 110 µs | 25 µs | 4.4x | | Data Warehousing (Smart Scan) | 12 GB/s | 48 GB/s (per rack) | 4x | | SQL*Net Messages (Small packet) | 300k msg/sec | 2.5M msg/sec | 8.3x |
The represents a significant milestone in Oracle’s engineered systems portfolio, specifically optimized to run Oracle Database workloads. By combining hardware, software, and networking into a single, cohesive architecture, it removes the performance bottlenecks associated with traditional, fragmented data center deployments. Instead of organizing data strictly by rows or
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