IBM Cloud will roll out Intel’s Gaudi 3 AI accelerator chips in early 2025.
This partnership aims to boost cloud computing capabilities for AI.
As more businesses look for efficient AI solutions, this collaboration is vital.
The Gaudi 3 chip was announced in December 2023.
It showcases Intel’s latest technology aimed at competing with Nvidia and AMD.
Built using a five-nanometer process, the chip has a unique design.
It features 64 Tensor Processing Cores and eight Matrix Multiplication Engines.
These advancements make it suitable for many AI tasks.
When handling BF16 data, it can perform an impressive 1,835 trillion calculations per second.
Gaudi 3 vs Nvidia H100 GPUs
Gaudi 3 and Nvidia H100 are two of the strongest AI accelerators available.
However, they have key differences.
Architecture
- Gaudi 3 uses a 5nm process with 64 Tensor Processing Cores and 8 Matrix Multiplication Engines.
- H100 relies on a 4nm process, featuring 16,896 shading units and 528 tensor cores.
Performance
- Gaudi 3 delivers up to 1,835 TFLOPS in BF16 performance.
- H100 provides 1,920 GB/s bandwidth on its SXM5 version.
Memory
- Gaudi 3 has a maximum of 128 GB of HBM2e memory.
- H100 SXM5 comes with 80 GB of HBM3 memory.
Cost-Effectiveness
- Gaudi 3 aims to be a more affordable choice compared to H100.
- Early tests show that Gaudi 3 might offer better performance for the price.
Interconnect
- H100 connects with the Grace CPU using Nvidia’s fast chip-to-chip interconnect.
IBM Cloud plans to implement Intel’s Gaudi 3 AI accelerator chips in early 2025. This collaboration aims to enhance cloud resources tailored for artificial intelligence.
As the demand for effective AI solutions grows, this partnership is becoming increasingly important. The Gaudi 3 chip was first introduced in December 2023 and represents Intel’s latest technological advancement in the competitive AI arena against rivals like Nvidia and AMD.
This chip is manufactured using a cutting-edge five-nanometer fabrication process, featuring an innovative architecture designed to optimize performance. It includes 64 Tensor Processing Cores and eight Matrix Multiplication Engines to excel in a wide range of AI applications.
When processing data in the BF16 format, the Gaudi 3 can achieve an impressive capacity of 1,835 trillion calculations per second.
Comparing Gaudi 3 and Nvidia H100 GPUs
Both the Gaudi 3 and Nvidia H100 are among the most powerful AI accelerators available today, yet they differ significantly in design and performance.
Design
- The Gaudi 3 chip utilizes a 5nm process along with 64 Tensor Processing Cores and 8 Matrix Multiplication Engines.
- In contrast, the H100 is built on a 4nm process, equipped with 16,896 shading units and 528 tensor cores.
Performance Capabilities
- The Gaudi 3 chip can reach up to 1,835 TFLOPS for BF16 data processing.
- The H100 SXM5 offers a bandwidth of 1,920 GB/s in terms of memory performance.
Memory Specifications
- Gaudi 3 supports up to 128 GB of HBM2e memory.
- The H100 SXM5 variant includes 80 GB of HBM3 memory.
Affordability
- Intel positions the Gaudi 3 as a budget-friendly option in comparison to the H100.
- Initial benchmarks indicate that the Gaudi 3 could provide superior value for money.
Interconnect Technology
- The H100 utilizes Nvidia’s advanced chip-to-chip interconnect paired with the Grace CPU, offering significant bandwidth capabilities.
The integration of Gaudi 3 into IBM Cloud’s services will allow customers to harness powerful AI tools for both hybrid and on-premises applications. This is expected to significantly enhance the efficiency of IBM’s Watsonx AI and data platforms.
As the demand for AI services continues to escalate, the collaboration between IBM and Intel may reshape the field of cloud-based AI technologies. With Gaudi 3 incorporated into its offerings, IBM Cloud is set to not only expand its portfolio but also establish itself as a key player for businesses seeking innovative and cost-effective computing solutions.
