- Joined
- Oct 9, 2007
- Messages
- 47,308 (7.52/day)
- Location
- Hyderabad, India
| System Name | RBMK-1000 |
|---|---|
| Processor | AMD Ryzen 7 5700G |
| Motherboard | ASUS ROG Strix B450-E Gaming |
| Cooling | DeepCool Gammax L240 V2 |
| Memory | 2x 8GB G.Skill Sniper X |
| Video Card(s) | Palit GeForce RTX 2080 SUPER GameRock |
| Storage | Western Digital Black NVMe 512GB |
| Display(s) | BenQ 1440p 60 Hz 27-inch |
| Case | Corsair Carbide 100R |
| Audio Device(s) | ASUS SupremeFX S1220A |
| Power Supply | Cooler Master MWE Gold 650W |
| Mouse | ASUS ROG Strix Impact |
| Keyboard | Gamdias Hermes E2 |
| Software | Windows 11 Pro |
SK hynix Inc. announced today that the key features of its Heterogeneous Memory Software Development Kit (HMSDK) are now available on Linux, the world's largest open source operating system. HMSDK is SK hynix's proprietary software for optimizing the operation of Compute Express Link (CXL), which is gaining attention as a next-generation AI memory technology along with High Bandwidth Memory (HBM). Having received global recognition for HMSDK's performance, SK hynix is now integrating it with Linux. This accomplishment marks a significant milestone for the company as it highlights the company's competitiveness in software, adding to the recognition for its high-performance memory hardware such as HBM.
In the future, developers around the world working on Linux will be able to use SK hynix's technology as the industry standard for CXL memory, putting the company in an advantageous position for global collaboration on next-generation memory. SK hynix's HMSDK enhances memory package's bandwidth by over 30% without modifying existing applications. It achieves this by selectively allocating memory based on the bandwidth between existing memory and expanded CXL memory. Additionally, the software improves performance by more than 12% over conventional systems through optimization based on access frequency, a feature which relocates frequently accessed data to faster memory.
The semiconductor industry anticipates full commercialization of CXL in the second half of 2024, coinciding with the release of the first server CPUs featuring the "CXL 2.0" specification. In preparation for this, SK hynix is currently validating CXL 2.0 memory in 96 GB and 128 GB capacities with customers. The company plans to begin mass production by the end of the year.
"For the development and spread of AI systems such as large language models (LLMs), it is now necessary to significantly improve not only semiconductors but also the level of system applications to support them," said Youngpyo Joo, Head of Software Solution at SK hynix. "With this Linux integration and collaboration, we will strive to improve our status as a total AI memory solutions provider by innovating technologies and expanding the ecosystem in this field."
View at TechPowerUp Main Site
In the future, developers around the world working on Linux will be able to use SK hynix's technology as the industry standard for CXL memory, putting the company in an advantageous position for global collaboration on next-generation memory. SK hynix's HMSDK enhances memory package's bandwidth by over 30% without modifying existing applications. It achieves this by selectively allocating memory based on the bandwidth between existing memory and expanded CXL memory. Additionally, the software improves performance by more than 12% over conventional systems through optimization based on access frequency, a feature which relocates frequently accessed data to faster memory.
The semiconductor industry anticipates full commercialization of CXL in the second half of 2024, coinciding with the release of the first server CPUs featuring the "CXL 2.0" specification. In preparation for this, SK hynix is currently validating CXL 2.0 memory in 96 GB and 128 GB capacities with customers. The company plans to begin mass production by the end of the year.
"For the development and spread of AI systems such as large language models (LLMs), it is now necessary to significantly improve not only semiconductors but also the level of system applications to support them," said Youngpyo Joo, Head of Software Solution at SK hynix. "With this Linux integration and collaboration, we will strive to improve our status as a total AI memory solutions provider by innovating technologies and expanding the ecosystem in this field."
View at TechPowerUp Main Site
