Brand: AMD | Category: GPUs
SKU: AMD-MI100-32GB | Part #: 100-000000246 | MPN: 100-000000246
Contact for Pricing — Request a Quote
The AMD Instinct MI100 32GB HBM2 GPU Accelerator is a powerful compute engine tailored for high-performance computing (HPC) and scientific workloads. Featuring 32GB of high-bandwidth HBM2 memory, the MI100 delivers rapid data processing and high throughput for complex simulations, data analytics, and AI training. Based on AMD’s innovative CDNA architecture, it provides excellent scalability, energy efficiency, and compatibility with leading HPC platforms. Designed for data centers and supercomputing environments, the MI100 offers enterprise-class reliability, robust error correction, and support for PCIe 4.0, ensuring seamless integration into existing infrastructure. This GPU is the ideal choice for organizations seeking to accelerate research and computational science projects.
| Brand | AMD |
| Category | GPUs |
| SKU | AMD-MI100-32GB |
| Part Number | 100-000000246 |
| Condition | New |
| Capacity | 32GB |
| Form Factor | PCIe |
| Interface | PCIe Gen4 |
| GPU Memory Type | HBM2 |
| GPU Platform | Data Center |
| GPU Architecture | CDNA |
| GPU Memory | 32GB |
| GPU Form Factor | PCIe |
| GPU Interface | PCIe Gen4 |
| NVLink Support | No |
| AI Optimized | Yes |
The AMD Instinct MI100 32GB HBM2 GPU Accelerator accelerates AI/ML training, inference, scientific HPC, and virtualization (vGPU) workloads. Typical deployments include LLM training clusters, computer-vision pipelines, financial risk modeling, and rendering farms.
Key specifications for the AMD Instinct MI100 32GB HBM2 GPU Accelerator: new condition; gpu memory type HBM2; gpu platform Data Center; gpu architecture CDNA; gpu memory size 32GB; gpu form factor PCIe; gpu interface version PCIe Gen4. Manufacturer part number 100-000000246. For the full datasheet with electrical, environmental, and compliance details, contact our pre-sales engineering team.
The AMD Instinct MI100 32GB HBM2 GPU Accelerator requires a PCIe Gen4 or Gen5 x16 slot, server power adequate for the card's TDP, and CUDA/ROCm driver support in your hypervisor or bare-metal OS. Sales engineering will confirm chassis fit (1U/2U/4U), PCIe lane count, and PSU headroom before quoting.