Rent AMD Instinct MI300X OAM GPU
Launch AMD Instinct MI300X OAM cloud capacity with 192GB VRAM for large-model training and high-throughput inference. Lumino provides per-second billing, SSH access, a browser terminal, and public Docker image support.
Availability: AMD Instinct MI300X OAM is part of the Lumino rental catalog; check current stock or create an Auto-rent request in the marketplace.
Check current MI300X stock and pricing or create an Auto-rent request
Compare AMD Instinct MI300X OAM with nearby options
| GPU | VRAM | Architecture | Live status |
|---|---|---|---|
| NVIDIA GeForce RTX 5090 | 32GB | Blackwell | Supported by Lumino; check current RTX 5090 stock and pricing |
| AMD Instinct MI350 OAM | 294GB | CDNA 4 | Supported by Lumino; check current MI350 OAM stock and pricing |
| NVIDIA B200 | 180GB | Blackwell | Supported by Lumino; check current B200 stock and pricing |
AMD Instinct MI300X OAM specifications and rental details
| Hourly price | Check current marketplace pricing |
|---|---|
| GPU memory | 192GB VRAM |
| Architecture | CDNA 3 |
| Fleet class | Datacenter Serving & Inference |
| Memory bandwidth | 5300 GB/s |
| FP16 performance | Up to 1307 TFLOPS |
| Access | SSH, browser terminal, and Docker image support |
Where AMD Instinct MI300X OAM bottlenecks
CDNA bottlenecks are software, not silicon: ROCm coverage for the exact framework and kernels decides the run before any spec comparison. Memory bandwidth on record is 5,300 GB/s.
Is AMD Instinct MI300X OAM the right GPU for your workload?
192GB VRAM targets large-model training, high-throughput inference, long-context serving, and memory-heavy scientific workloads. This card ships HBM3.
Choose this datacenter-class accelerator for model serving, training, fine-tuning, scientific compute, or sustained production workloads where accelerator memory and platform features matter.
CDNA targets memory-capacity inference: very large HBM pools (this card carries 192GB) for serving big open models, on the ROCm stack rather than CUDA.
Typical workloads: Large-model training and high-throughput inference.
What fits in 192GB of VRAM: Capacity memory for very large models
- 70B-class models: Full-precision 70B inference and LoRA fine-tuning fit comfortably in 192GB with room for context and batch size.
- Long context serving: Large KV-cache headroom supports longer contexts and higher concurrency for vLLM and TGI deployments.
- Full training runs: Multi-GPU training, large-batch experiments, and from-scratch runs target this memory class.
- On this card: On this card: HBM3 memory, launched 2024, 5,300 GB/s bandwidth.
How to rent AMD Instinct MI300X OAM
- Open the filtered marketplace result and confirm current stock and price.
- Select storage and a public Docker image for the workload.
- Start the rental, then connect over SSH or the browser terminal.
- Stop or terminate the pod when the job finishes and review any persistent-storage charge.
For serverless inference, compare Lumino hosted model APIs and review the developer documentation.
AMD Instinct MI300X OAM rental FAQ
Can I rent AMD Instinct MI300X OAM on Lumino AI?
Yes, Lumino AI maintains an explicit catalog entry for this GPU. AMD Instinct MI300X OAM is part of the Lumino rental catalog; check current stock or create an Auto-rent request in the marketplace.
What is AMD Instinct MI300X OAM best used for?
Large-model training and high-throughput inference. Actual fit depends on model precision, batch size, context length, framework overhead, and concurrent users.
How much does AMD Instinct MI300X OAM rental cost in India?
The hourly rate is listed live in the marketplace with per-second INR billing. Total job cost is rate times runtime plus any persistent storage.
What fits in 192GB of VRAM?
192GB VRAM targets large-model training, high-throughput inference, long-context serving, and memory-heavy scientific workloads. This card ships HBM3. Keep 20-30 percent headroom above the raw model weights for context and batch size.
AMD Instinct MI300X OAM vs NVIDIA GeForce RTX 5090?
The NVIDIA GeForce RTX 5090 is the closest rentable alternative by category and memory. Pick by VRAM fit first, then hourly rate.
Does this GPU use CUDA on AMD Instinct MI300X OAM?
No. CDNA accelerators run on the ROCm stack, so confirm framework and kernel support for the workload before renting instead of assuming CUDA compatibility.
How much model fits in this memory pool?
CDNA cards trade per-GPU throughput for very large HBM pools, so judge them on how many parameters stay resident, not on CUDA-benchmark comparisons.
Does the rental include SSH and Docker?
Yes. Lumino supports SSH, a browser terminal, and public Docker images for supported CUDA workloads.