datacenter
Louer AMD MI300.
CDNA 3
192GB VRAM
750W
Price history
Daily median across providers.
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Where to rent it
All providers carrying this GPU.
No fresh prices yet.
FAQ
Frequently asked.
How is the AMD MI300 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 MI300 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 MI300?
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 MI300 — 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 MI300?
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 MI300 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
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Models that run on this GPU.
GPU-count + quantization recommendations covering fine-tuning, inference, and run-it-yourself scenarios on the AMD MI300.
Llama 3.3 70B
by Meta AI
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
128K tokens
Qwen 2.5 72B
by Alibaba (Qwen Team)
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
73B
Context
128K tokens
DeepSeek R1 Distill Llama 70B
by DeepSeek
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
128K tokens
Llama 3.1 70B
by Meta AI
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
128K tokens
Code Llama 70B
by Meta AI
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
16K tokens
Hermes 3 70B
by Nous Research
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
128K tokens
Nous: Hermes 4 70B
by Nous Research
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
131K tokens
Qwen: Qwen2.5 VL 72B Instruct
by Alibaba (Qwen Team)
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
72B
Context
131K tokens
Sao10K: Llama 3.1 70B Hanami x1
by Sao10k
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
16K tokens
Sao10K: Llama 3.3 Euryale 70B
by Sao10k
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
131K tokens
Magnum v4 72B
by Anthracite Org
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
72B
Context
33K tokens
Sao10K: Llama 3.1 Euryale 70B v2.2
by Sao10k
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
131K tokens
Sao10k: Llama 3 Euryale 70B v2.1
by Sao10k
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
8K tokens
Meta: Llama 3 70B Instruct
by Meta AI
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
8K tokens
Meta Llama 3.3 70B Instruct Turbo
by Meta AI
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
131K tokens
Meta Llama 3.1 70B Instruct Turbo
by Meta AI
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
131K tokens
nim/meta/llama-3.1-70b-instruct
by Meta AI
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
16K tokens
nim/nvidia/llama-3.1-nemotron-70b-instruct
by Nvidia
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
16K tokens
Cogito V1 Preview Llama 70B
by Deepcogito
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
131K tokens
Cogito V1 Preview Llama 70B Turbo
by Deepcogito
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
131K tokens
Qwen 2 (72B)
by Alibaba (Qwen Team)
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
72B
Context
33K tokens
Qwen2.5 72B
by Alibaba (Qwen Team)
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
72B
Context
131K tokens
Llama 3.1 70B
by Meta AI
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
131K tokens
Meta Llama 3 70B Instruct Turbo
by Meta AI
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
8K tokens
nim/meta/llama-3.3-70b-instruct
by Meta AI
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
16K tokens
Llama 3.1 Nemotron 70B Instruct HF
by Nvidia
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
33K tokens
meta-llama/Llama-3.3-70B-Instruct
by Meta AI
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
131K tokens
Llama 3.3 70B Instruct FP8 Lora
by Meta AI
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
131K tokens
Qwen2.5 72B Instruct
by Alibaba (Qwen Team)
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
72B
Context
33K tokens
Qwen2 72B Instruct
by Togethercomputer
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
72B
Context
33K tokens
Qwen2.5 72B Instruct Turbo
by Alibaba (Qwen Team)
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
72B
Context
131K tokens
Qwen2-VL (72B) Instruct
by Alibaba (Qwen Team)
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
72B
Context
33K tokens
Hermes-3-Llama-3.1-70B
by Nous Research
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
131K tokens
L3.1-70B-Euryale-v2.2
by Sao10k
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
131K tokens
Meta-Llama-3.1-70B-Instruct
by Meta AI
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
131K tokens
Xiaomi: MiMo-V2.5-Pro
by Xiaomi
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
65B
Context
1M tokens
Writer: Palmyra X5
by Writer
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
1M tokens
Morph: Morph V3 Large
by Morph
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
70B
Context
262K tokens
Mistral Large 2
by Mistral AI
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
123B
Context
128K tokens
Mixtral 8x22B
by Mistral AI
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
141B (39B active)
Context
66K tokens
GPT-OSS 120B
by OpenAI
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
120B (5B active)
Context
128K tokens
NVIDIA: Nemotron 3 Super
by Nvidia
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
120B
Context
1M tokens
Qwen: Qwen3.5-122B-A10B
by Alibaba (Qwen Team)
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
122B
Context
262K tokens
Nvidia Nemotron 3 Super 120B A12b Fp8
by Nvidia
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
120B
Context
262K tokens
Nvidia Nemotron 3 Super 120B A12b Bf16
by Nvidia
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
120B
Context
262K tokens
Qwen3.5 122B A10b Fp8
by Alibaba (Qwen Team)
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
122B
Context
262K tokens
NVIDIA-Nemotron-3-Super-120B-A12B
by Nvidia
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
120B
Context
262K tokens
gpt-oss-120b-Turbo
by OpenAI
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
120B
Context
131K tokens
Qwen 3 235B
by Alibaba (Qwen Team)
Required GPUs
4× AMD MI300
Total VRAM
768 GB
Parameters
235B (22B active)
Context
128K tokens
DeepSeek Coder V2 236B
by DeepSeek
Required GPUs
4× AMD MI300
Total VRAM
768 GB
Parameters
236B (21B active)
Context
128K tokens
Qwen: Qwen3 VL 235B A22B Thinking
by Alibaba (Qwen Team)
Required GPUs
4× AMD MI300
Total VRAM
768 GB
Parameters
235B
Context
131K tokens
Qwen: Qwen3 VL 235B A22B Instruct
by Alibaba (Qwen Team)
Required GPUs
4× AMD MI300
Total VRAM
768 GB
Parameters
235B
Context
262K tokens
Qwen: Qwen3 235B A22B Thinking 2507
by Alibaba (Qwen Team)
Required GPUs
4× AMD MI300
Total VRAM
768 GB
Parameters
235B
Context
262K tokens
Qwen: Qwen3 235B A22B Instruct 2507
by Alibaba (Qwen Team)
Required GPUs
4× AMD MI300
Total VRAM
768 GB
Parameters
235B
Context
262K tokens
Qwen: Qwen3 235B A22B
by Alibaba (Qwen Team)
Required GPUs
4× AMD MI300
Total VRAM
768 GB
Parameters
235B
Context
131K tokens
Baidu: ERNIE 4.5 300B A47B
by Baidu
Required GPUs
4× AMD MI300
Total VRAM
768 GB
Parameters
300B
Context
131K tokens
Qwen3 235B A22B Instruct 2507 FP8 Throughput
by Alibaba (Qwen Team)
Required GPUs
4× AMD MI300
Total VRAM
768 GB
Parameters
235B
Context
262K tokens
Qwen3-VL-235B-A22B-Instruct-FP8
by Alibaba (Qwen Team)
Required GPUs
4× AMD MI300
Total VRAM
768 GB
Parameters
235B
Context
262K tokens
Qwen3-235B-A22B-Instruct-2507
by Alibaba (Qwen Team)
Required GPUs
4× AMD MI300
Total VRAM
768 GB
Parameters
235B
Context
262K tokens
Qwen: Qwen3.5 Plus 2026-04-20
by Alibaba (Qwen Team)
Required GPUs
4× AMD MI300
Total VRAM
768 GB
Parameters
235B
Context
1M tokens
Qwen: Qwen3 Max
by Alibaba (Qwen Team)
Required GPUs
4× AMD MI300
Total VRAM
768 GB
Parameters
235B
Context
262K tokens
Qwen: Qwen3 Coder 480B A35B
by Alibaba (Qwen Team)
Required GPUs
8× AMD MI300
Total VRAM
1536 GB
Parameters
480B
Context
1M tokens
Qwen3 Coder 480B A35B Instruct Fp8
by Alibaba (Qwen Team)
Required GPUs
8× AMD MI300
Total VRAM
1536 GB
Parameters
480B
Context
262K tokens
Qwen3-Coder-480B-A35B-Instruct-Turbo
by Alibaba (Qwen Team)
Required GPUs
8× AMD MI300
Total VRAM
1536 GB
Parameters
480B
Context
262K tokens
Qwen: Qwen3 Coder Next
by Alibaba (Qwen Team)
Required GPUs
8× AMD MI300
Total VRAM
1536 GB
Parameters
480B
Context
262K tokens
Mistral Large 2
by Mistral AI
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
123B
Context
128K tokens
Mixtral 8x22B
by Mistral AI
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
141B (39B active)
Context
66K tokens
GPT-OSS 120B
by OpenAI
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
120B (5B active)
Context
128K tokens
NVIDIA: Nemotron 3 Super
by Nvidia
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
120B
Context
1M tokens
Qwen: Qwen3.5-122B-A10B
by Alibaba (Qwen Team)
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
122B
Context
262K tokens
Nvidia Nemotron 3 Super 120B A12b Fp8
by Nvidia
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
120B
Context
262K tokens
Nvidia Nemotron 3 Super 120B A12b Bf16
by Nvidia
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
120B
Context
262K tokens
Qwen3.5 122B A10b Fp8
by Alibaba (Qwen Team)
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
122B
Context
262K tokens
NVIDIA-Nemotron-3-Super-120B-A12B
by Nvidia
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
120B
Context
262K tokens
gpt-oss-120b-Turbo
by OpenAI
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
120B
Context
131K tokens
Qwen 3 235B
by Alibaba (Qwen Team)
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
235B (22B active)
Context
128K tokens
DeepSeek Coder V2 236B
by DeepSeek
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
236B (21B active)
Context
128K tokens
Qwen: Qwen3 VL 235B A22B Thinking
by Alibaba (Qwen Team)
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
235B
Context
131K tokens
Qwen: Qwen3 VL 235B A22B Instruct
by Alibaba (Qwen Team)
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
235B
Context
262K tokens
Qwen: Qwen3 235B A22B Thinking 2507
by Alibaba (Qwen Team)
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
235B
Context
262K tokens
Qwen: Qwen3 235B A22B Instruct 2507
by Alibaba (Qwen Team)
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
235B
Context
262K tokens
Qwen: Qwen3 235B A22B
by Alibaba (Qwen Team)
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
235B
Context
131K tokens
Baidu: ERNIE 4.5 300B A47B
by Baidu
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
300B
Context
131K tokens
Qwen3 235B A22B Instruct 2507 FP8 Throughput
by Alibaba (Qwen Team)
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
235B
Context
262K tokens
Qwen3-VL-235B-A22B-Instruct-FP8
by Alibaba (Qwen Team)
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
235B
Context
262K tokens
Qwen3-235B-A22B-Instruct-2507
by Alibaba (Qwen Team)
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
235B
Context
262K tokens
Qwen: Qwen3.5 Plus 2026-04-20
by Alibaba (Qwen Team)
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
235B
Context
1M tokens
Qwen: Qwen3 Max
by Alibaba (Qwen Team)
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
235B
Context
262K tokens
Qwen: Qwen3 Coder 480B A35B
by Alibaba (Qwen Team)
Required GPUs
4× AMD MI300
Total VRAM
768 GB
Parameters
480B
Context
1M tokens
Qwen3 Coder 480B A35B Instruct Fp8
by Alibaba (Qwen Team)
Required GPUs
4× AMD MI300
Total VRAM
768 GB
Parameters
480B
Context
262K tokens
Qwen3-Coder-480B-A35B-Instruct-Turbo
by Alibaba (Qwen Team)
Required GPUs
4× AMD MI300
Total VRAM
768 GB
Parameters
480B
Context
262K tokens
Qwen: Qwen3 Coder Next
by Alibaba (Qwen Team)
Required GPUs
4× AMD MI300
Total VRAM
768 GB
Parameters
480B
Context
262K tokens
Kimi K2
by Moonshot AI
Required GPUs
8× AMD MI300
Total VRAM
1536 GB
Parameters
1000B (32B active)
Context
256K tokens
Kimi K2 Thinking
by Moonshot AI
Required GPUs
8× AMD MI300
Total VRAM
1536 GB
Parameters
1000B (32B active)
Context
256K tokens
Kimi K2.5
by Moonshot AI
Required GPUs
8× AMD MI300
Total VRAM
1536 GB
Parameters
1000B (32B active)
Context
256K tokens
Kimi K2.6
by Moonshot AI
Required GPUs
8× AMD MI300
Total VRAM
1536 GB
Parameters
1000B (32B active)
Context
256K tokens
MoonshotAI Kimi Latest
by Moonshot AI
Required GPUs
8× AMD MI300
Total VRAM
1536 GB
Parameters
1000B
Context
262K tokens
MoonshotAI: Kimi K2 0905
by Moonshot AI
Required GPUs
8× AMD MI300
Total VRAM
1536 GB
Parameters
1000B
Context
262K tokens
Qwen 3 235B
by Alibaba (Qwen Team)
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
235B (22B active)
Context
128K tokens
DeepSeek Coder V2 236B
by DeepSeek
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
236B (21B active)
Context
128K tokens
Qwen: Qwen3 VL 235B A22B Thinking
by Alibaba (Qwen Team)
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
235B
Context
131K tokens
Qwen: Qwen3 VL 235B A22B Instruct
by Alibaba (Qwen Team)
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
235B
Context
262K tokens
Qwen: Qwen3 235B A22B Thinking 2507
by Alibaba (Qwen Team)
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
235B
Context
262K tokens
Qwen: Qwen3 235B A22B Instruct 2507
by Alibaba (Qwen Team)
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
235B
Context
262K tokens
Qwen: Qwen3 235B A22B
by Alibaba (Qwen Team)
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
235B
Context
131K tokens
Baidu: ERNIE 4.5 300B A47B
by Baidu
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
300B
Context
131K tokens
Qwen3 235B A22B Instruct 2507 FP8 Throughput
by Alibaba (Qwen Team)
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
235B
Context
262K tokens
Qwen3-VL-235B-A22B-Instruct-FP8
by Alibaba (Qwen Team)
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
235B
Context
262K tokens
Qwen3-235B-A22B-Instruct-2507
by Alibaba (Qwen Team)
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
235B
Context
262K tokens
Qwen: Qwen3.5 Plus 2026-04-20
by Alibaba (Qwen Team)
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
235B
Context
1M tokens
Qwen: Qwen3 Max
by Alibaba (Qwen Team)
Required GPUs
1× AMD MI300
Total VRAM
192 GB
Parameters
235B
Context
262K tokens
Qwen: Qwen3 Coder 480B A35B
by Alibaba (Qwen Team)
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
480B
Context
1M tokens
Qwen3 Coder 480B A35B Instruct Fp8
by Alibaba (Qwen Team)
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
480B
Context
262K tokens
Qwen3-Coder-480B-A35B-Instruct-Turbo
by Alibaba (Qwen Team)
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
480B
Context
262K tokens
Qwen: Qwen3 Coder Next
by Alibaba (Qwen Team)
Required GPUs
2× AMD MI300
Total VRAM
384 GB
Parameters
480B
Context
262K tokens
Kimi K2
by Moonshot AI
Required GPUs
4× AMD MI300
Total VRAM
768 GB
Parameters
1000B (32B active)
Context
256K tokens
Kimi K2 Thinking
by Moonshot AI
Required GPUs
4× AMD MI300
Total VRAM
768 GB
Parameters
1000B (32B active)
Context
256K tokens
Kimi K2.5
by Moonshot AI
Required GPUs
4× AMD MI300
Total VRAM
768 GB
Parameters
1000B (32B active)
Context
256K tokens
Kimi K2.6
by Moonshot AI
Required GPUs
4× AMD MI300
Total VRAM
768 GB
Parameters
1000B (32B active)
Context
256K tokens
MoonshotAI Kimi Latest
by Moonshot AI
Required GPUs
4× AMD MI300
Total VRAM
768 GB
Parameters
1000B
Context
262K tokens
MoonshotAI: Kimi K2 0905
by Moonshot AI
Required GPUs
4× AMD MI300
Total VRAM
768 GB
Parameters
1000B
Context
262K tokens
Renting for inference?
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FAQ
AI models on this GPU.
How is the AMD MI300 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 MI300 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 MI300?
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 MI300 — 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 MI300?
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 MI300 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.