MI300 GPU Hosting in India: Price, Plans & What You Need to Know

The AMD Instinct MI300 Series - notably the MI300A and MI300X - is a leap forward in data center GPUs, delivering cutting-edge performance for AI, HPC, and generative AI workloads. For businesses in India, leveraging MI300-class cloud hosting opens doors to faster model training, inference, and high-performance computing at scale.

In this article, we'll cover:

1. What makes the MI300 Series special
   

2. Cloud providers offering MI300 GPUs
   

3. Price and plans - global vs. India
   

4. Choosing the right configuration
   

5. Use cases & benefits
   

6. How Go4hosting can help
   

1. What Makes MI300 Special

The MI300 Series builds on AMD's leading CDNA 3 architecture and unified memory (HBM3) to deliver robust performance:

• MI300X: 192?GB of HBM3 memory, 5.3?TB/s bandwidth, up to ~1.3?PFLOPs (FP16/BF16) and ~163?TFLOPs (FP32)
  

• MI300A: Combines GPU + Zen?4 CPU cores in a single APU with 128?GB HBM3; excellent for HPC and AI workloads
  

• Industry partners (Azure, Oracle, Dell, HPE, Lenovo, Supermicro) have backed and deployed MI300 hardware
  

In benchmarks, MI300X outperforms Nvidia H100 on metrics like FP32 throughput and memory capacity, making it ideal for large models 

2. Cloud Providers with MI300 Access

MI300 hosting options include:

a) Azure ND MI300x VMs

Microsoft offers MI300X on Azure as part of its ND MI300x v5 VM series, giving developers flexible on-demand access 

b) Oracle Cloud Infrastructure (OCI) Bare-Metal

OCI supports MI300X accelerators in its BM.GPU.MI300X.8 bare-metal instances and Supercluster configurations 

c) Specialist Providers

• Hot Aisle: Offers on-demand MI300x VMs, with pricing from $3.00/hr (1x) to $2.00/hr (1-year commitment)
  

• Vultr: Provides MI300X access starting at USD?1.841/hr
  

Others like Runpod also provide hourly MI300X rentals via marketplace access 

3. MI300 Hosting Price & Plans : India Perspective

There's no dedicated India-hosted MI300 yet, but you can leverage international offerings with competitive pricing. Approximate rates (USD - Rs.):

Actual INR pricing depends on FX and provider billing.
Azure/OCI may add charges for networking, storage, reserved capacity.

4. Choosing the Right Configuration

Selecting the best MI300 setup depends on your workload:

• Single-GPU VM (Vultr/Hot Aisle/Azure): Great for experimentation, small-scale training/inference tasks.
  

• Multi-GPU or bare-metal cluster (OCI, Hot Aisle): Ideal for large LLM training, HPC simulations, or deep learning at scale.
  

• Commitment options (Hot Aisle): Reduce cost by ~30-50% if you plan long-term workloads.
  

Consider the GPU type, memory needs, performance, and networking (RDMA, NVLink, PCIe vs. OAM form factors).

5. Top Use Cases & Benefits

AI Training & Fine-tuning

Massive memory (HBM3) and high TFLOPs are perfect for LLMs like Llama?2, Falcon, or dedicated chatbots.

For Large-Scale Inference

High bandwidth ensures quick response times for inference-heavy apps (recommendation engines, image/video AI).

HPC & Scientific Computing

Ideal for simulations, computational chemistry, genomics, weather modeling, etc.

Hybrid Deployments

Pair MI300X VMs with Epyc CPU nodes (as in OCI Supercluster) to support complex multi-phase workloads.

6. How Go4hosting Makes It Easier

At Go4hosting, we help Indian businesses access MI300-class performance with:

Hybrid/Global Setup

Deploy compute-heavy tasks on MI300 VMs via Azure or Vultr, with data stored securely in Go4hosting's local infrastructure.

Optimized AI Workflows

We assist in containerizing models (Docker/Kubernetes/ROCm), setting up CI/CD pipelines, and infrastructure automation.

Cost & Performance Advisory

We analyze your workloads to recommend the ideal provider and instance type, balancing performance needs and cost.

Managed Support

We handle deployment, monitoring, scaling, and infrastructure optimization tailored for high-hot AI workloads.

7. Example Use Case

AI Research Startup in India

• Need: Train a 70B parameter LLM using MI300X
  

• Setup: Use Vultr single GPU for dev ($1.84/hr) + Azure ND MI300x VMs for scale
  

• Strategy: Begin with rentals, shift to 6-month Hot Aisle commitment when scale increases
  

• Result: Save up to 50% through hybrid allocation and resource optimization
  

8. Key Considerations Before You Buy

1. Data Location & Compliance
   Keep sensitive data within India using on-prem backups or Go4hosting data centers; compute can run globally.
   
   

2. Network Latency & Bandwidth
   Select providers with good connectivity (e.g., Azure/OCI India region, or use VPN server/MPLS).
   
   

3. Software Compatibility
   MI300 requires ROCm ecosystem; ensure your ML frameworks and drivers are production-ready.
   
   

4. Billing Structure
   Review hourly charges, egress fees, GPU hours, and commitment terms.
   
   

5. Support Level
   Make sure you have reliable tech support, especially for high-stakes AI workloads.
   

Why MI300 Matters in India

With India's rise in AI startups, research, and enterprise AI adoption, MI300 enables:

• Faster model iteration and time-to-market
  

• Cost-effective scaling compared to legacy chips
  

• Entry into LLM, GenAI, HPC, and simulation markets
  

• Independence from Nvidia-dominated stacks via open ROCm
  

Conclusion

AMD's MI300 GPU hosting accessible via Azure, OCI, Vultr, Hot Aisle, and others offers outstanding compute power for CPU-/GPU-intensive workloads. Prices range from Rs.140/hr (Vultr) to Rs.300/hr (Azure/OCI), with commitment options bringing it down to Rs.150/hr.

Go4hosting can help your Indian business:

• Choose the right MI300 package
  

• Set up pipelines and environments optimized for ROCm
  

• Implement hybrid cloud strategies for security and cost-efficiency
  

• Provide ongoing infrastructure management and AI support

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