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A hardware-enforced throttling engine that guarantees predictable performance. IORM allows administrators to allocate distinct I/O bandwidth priorities across different databases, pluggable databases (PDBs), or consumer groups, preventing a single rogue query from impacting critical production workloads. 6. Deployment Models: On-Premises to Cloud
Base configuration of 384 GB DDR4 RAM, expandable up to 1.5 TB per server.
| Workload Type | Quarter Rack | Half Rack | Full Rack | |---------------|--------------|-----------|-----------| | | 3M | 6M | 12M | | Full Table Scan (TB/hr) | 4 TB/hr | 8 TB/hr | 16 TB/hr | | Redo Log Commit (PMEM) | 1.5M commits/sec | 3M commits/sec | 6M commits/sec | oracle exadata x82 datasheet
for moving on-premise systems to Exadata Share public link
The Oracle Exadata X8-2 is an engineered system designed specifically to run Oracle Database workloads with high performance, scalability, and availability. It combines compute, storage, and networking with specialized Exadata software. 🚀 Key Hardware Specifications 🚀 Key Hardware Specifications The Exadata X8-2 is
The Exadata X8-2 is designed for the most demanding database environments:
| Spec | Detail | |------|--------| | Processor | 1x Intel Xeon 4215 (8C/16T) | | RAM | 192 GB DRAM + 4.5 TB Optane PMEM (persistent) | | Flash | 12.8 TB – 51.2 TB NVMe flash per server (raw) | | HDD | 6 TB – 12 TB SAS HDD (optional cold tier) | | PMEM role | Write cache + metadata acceleration | | Network | 2x 100 Gb/s RoCE + 2x 10 GbE | and availability. It combines compute
While there isn't a specific "X82" model (this is likely a typo for the ), the following paper provides a technical overview of the Oracle Exadata Database Machine X8-2, based on official Oracle System Architecture data.
The Oracle Exadata X8-2 represents a significant leap in converged database infrastructure, designed specifically for running Oracle Database workloads. It bridges the gap between OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing) by offloading SQL processing to intelligent storage cells.