MI355X
ULTIMATE AI & HPC PERFORMANCE.
Built on the cutting-edge 4th Gen AMD CDNA™ architecture to drive the next era of innovation.
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DIRECT LIQUID COOLED DESIGN
The global adoption of AI technology demands ever greater amounts of processing capacity. The direct liquid cooling option enables AMD Instinct MI355X GPUs to consume up to 1400W.
Liquid cooling helps reduce GPU die temperatures, expanding the accelerator’s power envelope, facilitating higher clock speeds and delivered performance. The use of cold plates enables the UBB to be integrated into standard and open compute servers, helping customers achieve higher densities.
INDUSTRY-STANDARD FORM FACTOR
The platform combines the power of eight accelerators on an industry-standard universal baseboard (UBB 2.0).
- • 8 OAMs connected with AMD Infinity Fabric™ mesh
- • 153.6 GB/s bidirectional links
- • 288 GB of HBM3E memory per accelerator
- • 8 TB/s of memory bandwidth
- • Massive 2.3 TB of coherent, shared memory per platform
AMD MI355x Platform Architecture
Seven links per MI355X plus one PCIe® Gen 5 x16 connection per OAM device for upstream server and/or I/O connectivity.
Multi-Chip Architecture
The MI355X uses the 4th Gen AMD CDNA™ multi-chip architecture based on 3nm process technology.
Breakthrough AI Acceleration
With new expanded FP6 and FP4 datatype support, MI355X maximizes computational throughput and energy efficiency. Enhanced FP16 and FP8 processing positions the MI350 Series to deliver exceptional performance for advanced generative AI models.
K8s Integration
AMD GPU Operator simplifies deployment in Kubernetes. Day-0 support enables optimized models upon release.
Advanced Security
Verify hardware authenticity, secure multitenant GPU sharing, and encrypted high-speed communication.
Scalable Networking
Ethernet-based AI and HPC networking enables massive hyperclass scalability and low TCO.
Optimized Software & Framework Integration
The foundation of AMD accelerated computing, AMD ROCm™ software empowers AI developers to fully leverage AMD Instinct GPUs. With Day-0 support for PyTorch, TensorFlow, JAX, and ONNX Runtime.
Reserve Your Compute
Demand for next-generation accelerators is at an all-time high. By placing a reservation today, you secure your priority spot in the deployment queue.
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