SPARC T4 Processor Delivers Performance Boost for a Wide Range of Workloads

Delivers 5x Improvement in Single-Thread Performance Over Previous Generation


SPARC T4 Processor

Oracle's SPARC T4 processor combines optimized performance on single-threaded and cryptographic workloads with high throughput performance, creating a scalable system-on-a-chip ideal for a wide range of mission-critical applications.

The SPARC T4 processor delivers a 5x increase in single-thread performance over the previous generation, while maintaining the high multi-thread throughput performance of Oracle's SPARC T-Series systems. The SPARC T4 processor automatically switches to single-thread mode when only a single thread is active, dedicating all resources to that thread's execution. With faster single-threaded processing, the SPARC T4 enables rapid batch processing along with stunning throughput performance, making it the ideal platform for the consolidation and virtualization of software applications.

The SPARC T4 processor was designed from the ground up for high speed security and has a cryptographic stream processing unit (SPU) integrated directly into each processor core. These accelerators support 16 industry standard security ciphers and enable high speed encryption at rates 3 to 5 times that of competing processors. By integrating encryption capabilities directly inside the instruction pipeline, the SPARC T4 processor eliminates the performance and cost barriers typically associated with secure computing and makes it possible to deliver high security levels without impacting the user experience.

Integrating system level features such as high-speed 10 GbE networking directly onto the silicon of the SPARC T4 processor drives more efficient application performance and improves system reliability due to reduced part counts in the server.

The SPARC T4 processor leverages the unique, no-cost virtualization capabilities of Oracle Solaris Zones and Oracle VM Server for SPARC, enabling customers to run up to 128 domains on a T4-Series server, reducing server space and power requirements, conserving data center space, and minimizing operational complexity.

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