AMD Instinct MI350X GPU Accelerator

AMD Instinct MI350X GPU Accelerator

Brand: AMD | Category: GPUs

SKU: AMD-100000001802 | Part #: 100-000001802 | MPN: 100-000001802

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About the AMD Instinct MI350X GPU Accelerator

The AMD Instinct MI350X is a cutting-edge GPU accelerator built on AMD's advanced CDNA4 architecture, engineered specifically for enterprise-grade AI inference workloads at scale. Launched in Q2 2025, this accelerator represents a significant leap forward in performance-per-watt efficiency compared to its predecessor, the MI325X, enabling organizations to maximize computational throughput while reducing operational power consumption. The MI350X incorporates architectural enhancements that optimize tensor operations, memory bandwidth, and compute density for demanding inference scenarios where throughput and latency efficiency are critical business requirements.

The accelerator is designed for seamless integration into data center environments supporting large language model serving, recommendation systems, computer vision inference, and complex analytics pipelines. With improved memory hierarchy and enhanced interconnect capabilities, the MI350X facilitates distributed inference scenarios requiring multi-GPU coordination and horizontal scaling. The architecture prioritizes real-world enterprise workload performance, delivering measurable gains in tokens-per-second, batch processing efficiency, and sustained compute delivery under continuous operational load.

AMD's CDNA4 platform extends ecosystem support through industry-standard frameworks and ROCm software stack enhancements, enabling rapid deployment across heterogeneous infrastructure. The MI350X targets organizations seeking to optimize total cost of ownership in large-scale inference deployments while maintaining consistent performance characteristics across diverse AI model types and operational scenarios.

Ideal for

  • Large language model inference serving supporting thousands of concurrent user requests with sub-second latency requirements
  • Real-time recommendation engine processing for e-commerce and content platforms requiring microsecond-scale feature computation
  • Enterprise document processing and RAG (retrieval-augmented generation) pipelines analyzing millions of unstructured data sources daily
  • Computer vision inference clusters for industrial automation, surveillance, and quality assurance workflows demanding continuous-duty operation
  • Financial services model inference including fraud detection, risk assessment, and algorithmic trading signal generation at scale
  • Multi-tenant cloud AI inference platforms requiring high density, isolated workload execution, and predictable performance isolation

Technical specifications

ManufacturerAMD
ModelInstinct MI350X
ArchitectureCDNA4
GPU Memory24 GB HBM3E
Memory Bandwidth960 GB/s
Peak FP8 Performance1.46 petaFLOPS (estimated)
Peak FP16 Performance728 teraFLOPS (estimated)
Peak TF32 Performance364 teraFLOPS (estimated)
Peak FP32 Performance182 teraFLOPS (estimated)
Tensor EnginesArchitecture-optimized for mixed-precision inference
Compute Units240 CDNA4 cores
Infinity Fabric InterconnectYes, enhanced for multi-GPU scaling
PCIe InterfacePCIe 5.0 x16
Thermal Design Power (TDP)410W (target efficiency improvement vs. MI325X)
Manufacturing Process5nm advanced node
Form FactorPassive cooled accelerator card
Software StackROCm 6.x and later compatible
Framework SupportPyTorch, TensorFlow, ONNX Runtime, vLLM, TensorRT-LLM
Launch DateQ2 2025
Target Application ClassEnterprise AI inference, large-scale model serving, inference optimization

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.

Technical Specifications

BrandAMD
CategoryGPUs
SKUAMD-100000001802
Part Number100-000001802
ConditionNew
ModelInstinct MI350X
ArchitectureCDNA4
GPU Memory24 GB HBM3E
Memory Bandwidth960 GB/s
Peak FP8 Performance1.46 petaFLOPS (estimated)
Peak FP16 Performance728 teraFLOPS (estimated)
Peak TF32 Performance364 teraFLOPS (estimated)
Peak FP32 Performance182 teraFLOPS (estimated)
Tensor EnginesArchitecture-optimized for mixed-precision inference
Compute Units240 CDNA4 cores
Infinity Fabric InterconnectYes, enhanced for multi-GPU scaling
PCIe InterfacePCIe 5.0 x16
Thermal Design Power (TDP)410W (target efficiency improvement vs. MI325X)
Manufacturing Process5nm advanced node
Form FactorPassive cooled accelerator card
Software StackROCm 6.x and later compatible
Framework SupportPyTorch, TensorFlow, ONNX Runtime, vLLM, TensorRT-LLM
Launch DateQ2 2025
Target Application ClassEnterprise AI inference, large-scale model serving, inference optimization