datacenter
Louer AMD AMD MI300X.
CDNA 3
192GB VRAM
From $1.95/hr
Per hour
$1.95
Per day
$46.80
Per week
$327.60
Per month
$1404
Provider spread
3 providers ·
up to 7% cheaper at the low end
Cheapest · $1.95/hr on TensorWave
Median $1.99/hr
Most expensive · $2.10/hr on Vultr
Price history
Daily median across providers.
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Where to rent it
All providers carrying this GPU.
AI models that fit
See all 6 →
Run these on this GPU.
- Baidu: ERNIE 4.5 300B A47B 1× · int4
- DeepSeek Coder V2 236B 1× · int4
- Qwen3 235B A22B Instruct 2507 FP8 Throughput 1× · int4
Cloud instances
See all 3 →
Hyperscaler bundles.
Pre-configured on 3 clouds — from $1.95/hr total
($1.95/hr per GPU).
FAQ
Frequently asked.
How is the AMD AMD MI300X price calculated?
We pull live listings from each provider's public API, take the median hourly rate across active offers, and refresh every hour. The rate shown is the median, so a single low-ball spot offer can't distort the headline.
Why does the AMD MI300X cost different amounts on different providers?
P2P marketplaces like Vast.ai aggregate offers from individual hosts who set their own rates — bidding pushes prices down. First-party clouds (Lambda, hyperscalers) charge a managed-service premium for support, SLAs, and integrated networking. Decentralized networks (io.net, Akash) settle in tokens, which adds volatility but often the lowest base rate.
Can I really train an LLM on a single AMD MI300X?
Depends on the model size. With 192GB of VRAM you can fine-tune 70B models with QLoRA, or fully fine-tune 13B-class models.
Spot vs on-demand on the AMD MI300X — which should I rent?
On-demand keeps the same instance until you stop it; spot (or interruptible) is cheaper but the host can reclaim it when a higher-paying job lands. Use on-demand for training runs and anything stateful. Use spot for stateless inference, batch jobs, and experiments where a checkpoint every few minutes is enough to recover.
How is hourly billing measured for the AMD MI300X?
Most providers bill per-second once the instance is running, with a small minimum (often 60 seconds). A handful of first-party clouds round up to the minute. Either way, headline $/hr is the right comparison unit.
Does the region of the host affect the AMD MI300X price?
Yes — US and EU regions usually carry a premium over LATAM, India, and parts of APAC, especially on first-party clouds. P2P marketplaces hide this behind one global price because supply moves wherever bids exist.
Cloud instance options
Pre-configured instances on hyperscalers.
Whole-instance bundles (GPU + vCPU + RAM + disk) on the major clouds. Per-GPU rate often drops as the count rises. View = spec page · Launch = sign up (affiliate).
Cheapest bundle
$1.95/hr
Lowest $/hr per GPU
$1.95/hr
Providers
3
Instance shapes
3
| Provider | Instance | GPUs | vCPU | RAM | Disk | $/hr | $/hr per GPU | |
|---|---|---|---|---|---|---|---|---|
| mi300x-on-demand | 1× | — | — | — | $1.95/hr | $1.95/hr | ||
| gpu-mi300x1-192gb | 1× | — | — | — | $1.99/hr | $1.99/hr | ||
|
V
Vultr
|
vc2-gpu-mi300x | 1× | — | — | — | $2.10/hr | $2.10/hr |
Looking for the cheapest rate?
Hyperscaler bundles include managed networking + SLAs. Raw per-GPU rental on P2P marketplaces is typically 3–10× cheaper.
See raw rental rates on the Overview tab →
FAQ
Cloud instances — common questions.
How is the AMD AMD MI300X price calculated?
We pull live listings from each provider's public API, take the median hourly rate across active offers, and refresh every hour. The rate shown is the median, so a single low-ball spot offer can't distort the headline.
Why does the AMD MI300X cost different amounts on different providers?
P2P marketplaces like Vast.ai aggregate offers from individual hosts who set their own rates — bidding pushes prices down. First-party clouds (Lambda, hyperscalers) charge a managed-service premium for support, SLAs, and integrated networking. Decentralized networks (io.net, Akash) settle in tokens, which adds volatility but often the lowest base rate.
Can I really train an LLM on a single AMD MI300X?
Depends on the model size. With 192GB of VRAM you can fine-tune 70B models with QLoRA, or fully fine-tune 13B-class models.
Spot vs on-demand on the AMD MI300X — which should I rent?
On-demand keeps the same instance until you stop it; spot (or interruptible) is cheaper but the host can reclaim it when a higher-paying job lands. Use on-demand for training runs and anything stateful. Use spot for stateless inference, batch jobs, and experiments where a checkpoint every few minutes is enough to recover.
How is hourly billing measured for the AMD MI300X?
Most providers bill per-second once the instance is running, with a small minimum (often 60 seconds). A handful of first-party clouds round up to the minute. Either way, headline $/hr is the right comparison unit.
Does the region of the host affect the AMD MI300X price?
Yes — US and EU regions usually carry a premium over LATAM, India, and parts of APAC, especially on first-party clouds. P2P marketplaces hide this behind one global price because supply moves wherever bids exist.
AI models
INT4
INT4
INT4
INT4
INT4
INT4
Models that run on this GPU.
GPU-count + quantization recommendations covering fine-tuning, inference, and run-it-yourself scenarios on the AMD AMD MI300X.
Baidu: ERNIE 4.5 300B A47B
by Baidu
Required GPUs
1× AMD MI300X
Total VRAM
192 GB
Parameters
300B
Context
131K tokens
DeepSeek Coder V2 236B
by DeepSeek
Required GPUs
1× AMD MI300X
Total VRAM
192 GB
Parameters
236B (21B active)
Context
128K tokens
Qwen3 235B A22B Instruct 2507 FP8 Throughput
by Alibaba (Qwen Team)
Required GPUs
1× AMD MI300X
Total VRAM
192 GB
Parameters
235B
Context
262K tokens
Qwen3-VL-235B-A22B-Instruct-FP8
by Alibaba (Qwen Team)
Required GPUs
1× AMD MI300X
Total VRAM
192 GB
Parameters
235B
Context
262K tokens
Qwen 3 235B
by Alibaba (Qwen Team)
Required GPUs
1× AMD MI300X
Total VRAM
192 GB
Parameters
235B (22B active)
Context
128K tokens
Qwen: Qwen3 Max
by Alibaba (Qwen Team)
Required GPUs
1× AMD MI300X
Total VRAM
192 GB
Parameters
235B
Context
262K tokens
Renting for inference?
Pair these models with the cheapest provider on the rental table.
See rental rates on the Overview tab →
FAQ
AI models on this GPU.
How is the AMD AMD MI300X price calculated?
We pull live listings from each provider's public API, take the median hourly rate across active offers, and refresh every hour. The rate shown is the median, so a single low-ball spot offer can't distort the headline.
Why does the AMD MI300X cost different amounts on different providers?
P2P marketplaces like Vast.ai aggregate offers from individual hosts who set their own rates — bidding pushes prices down. First-party clouds (Lambda, hyperscalers) charge a managed-service premium for support, SLAs, and integrated networking. Decentralized networks (io.net, Akash) settle in tokens, which adds volatility but often the lowest base rate.
Can I really train an LLM on a single AMD MI300X?
Depends on the model size. With 192GB of VRAM you can fine-tune 70B models with QLoRA, or fully fine-tune 13B-class models.
Spot vs on-demand on the AMD MI300X — which should I rent?
On-demand keeps the same instance until you stop it; spot (or interruptible) is cheaper but the host can reclaim it when a higher-paying job lands. Use on-demand for training runs and anything stateful. Use spot for stateless inference, batch jobs, and experiments where a checkpoint every few minutes is enough to recover.
How is hourly billing measured for the AMD MI300X?
Most providers bill per-second once the instance is running, with a small minimum (often 60 seconds). A handful of first-party clouds round up to the minute. Either way, headline $/hr is the right comparison unit.
Does the region of the host affect the AMD MI300X price?
Yes — US and EU regions usually carry a premium over LATAM, India, and parts of APAC, especially on first-party clouds. P2P marketplaces hide this behind one global price because supply moves wherever bids exist.