HPC-Ready GPU Power for Demanding AI, Scientific & Engineering Workloads — Built for Density, Speed & Performance
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AMD Instinct MI210 GPU Server Price
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🚀 Core Specifications
- Architecture: AMD CDNA 2 (Aldebaran, 6 nm).
- Compute Units / Stream Processors: 104 CUs, 6,656 stream processors.
- Memory: 64 GB HBM2e on 4096‑bit bus (1.6 TB/s) with ECC.
- Clock Speed: 1.0 GHz base → 1.7 GHz boost
- Performance:
- FP64: 22.6 TFLOPS
- FP32: 22.6 TFLOPS
- FP16/BF16/INT8: 181 TFLOPS/181 TOPS
- FP64: 22.6 TFLOPS
- Form Factor: Dual‑slot, PCIe 4.0 ×16, 300 W TDP, passive cooling.
- Infinity Fabric I/O: Up to 3× 300 GB/s P2P links enabling 4‑GPU hives with 600 GB/s.
- Virtualization: ECC memory + PCIe fabric, ROCm 5 support.
⚡ Why Choose Instinct MI210?
HPC & AI leader in FP64
Delivers 2.3× higher FP64 per watt versus Nvidia A100.
Massive HBM & I/O density
64 GB of HBM2e and 1.6 TB/s memory bandwidth in a PCIe card , unmatched in mainstream servers.
Scale with peer links
Build high-bandwidth GPU clusters via Infinity Fabric, 600 GB/s cross‑GPU in a hive.
Energy-efficient dual-slot design
300 W TDP supports passive cooling, ideal for dense rack deployments.
Open compute stack
Seamless with ROCm, optimized containers, and Infinity Hub tools.
🎯 Ideal Use Cases
🔬 Scientific & Engineering HPC
Ideal for FP64 workloads like CFD, molecular dynamics, climate modeling, fast, efficient, and dense.
🤖 AI Training & Mixed‑Precision Compute
Supports FP32, BF16, INT8, great for mid-sized transformer fine-tuning, language models, and reinforcement learning.
💾 Large In-Memory Compute & Simulations
Ideal for database caching, graph analytics, and processing large datasets in memory.
🧪 GPU Hive Acceleration
Up to 4 MI210s peer-linked for high-bandwidth multi-GPU training and compute bursts.
☁️ Private Cloud & Cloud Repatriation
Replace cloud GPU nodes with powerful, cost-effective bare metal featuring ECC and open-stack software.
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Deep Dive & FAQs
How many MI210 GPUs per server?
Typically 2–4 in PCIe racks, with peer linking for high-bandwidth compute clusters.
Is Infinity Fabric better than PCIe?
Yes, dedicated peer links deliver up to 300 GB/s between GPUs, far exceeding PCIe capabilities.
Does ROCm fully support this GPU?
Absolutely, ROCm 5 and Infinity Hub offer optimized frameworks, container images, and HPC tooling.
Is 64 GB HBM enough?
Yes, for large models, graph datasets, and full double-precision workflows, without compromising high throughput.
Passive cooling: any risk?
No, dual-slot design and 300 W TDP work ideally in airflow-optimized rack servers designed for HPC.
Not sure exactly what you need?
No problem! Our talented engineers are here to help!
We will consult, architect, migrate, manage and do whatever it takes to help your business grow and succeed.
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