> For the complete documentation index, see [llms.txt](https://docs.nuvolos.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.nuvolos.com/reference/applications/application-resources/available-application-sizes.md).

# Available Application sizes

Nuvolos currently supports three flavours for Application sizing. The three flavours differ in what type of specific resources are allocated for an Application.

1. **CPU-focused**: Provides enhanced parallelization capabilities, ideal for multi-threaded software and complex processing schemes.
2. **GPU-focused**: Integrates dedicated graphics processing power, built specifically for AI/ML models and GPU-reliant workloads.
3. **Storage and memory-focused**: Provides high RAM allocations and expanded swap space, designed for memory-heavy or I/O-intensive tasks.

## CPU-focused

<table><thead><tr><th width="122">vCPU</th><th width="139.8333740234375">RAM  (Memory, GB)</th><th>CPU family</th></tr></thead><tbody><tr><td>8</td><td>32</td><td>Intel Xeon 8473C/8370C/8573C</td></tr><tr><td>16</td><td>32</td><td>AMD EPYC 9004</td></tr><tr><td>16</td><td>64</td><td>Intel Xeon 8473C/8370C/8573C</td></tr><tr><td>16</td><td>128</td><td>Intel Xeon 8473C/8370C/8573C</td></tr><tr><td>32</td><td>64</td><td>AMD EPYC 9004</td></tr><tr><td>32</td><td>64</td><td>Intel Xeon 8370C/8262CL/8168/8573C</td></tr><tr><td>32</td><td>128</td><td>Intel Xeon 8473C/8370C/8573C</td></tr><tr><td>64</td><td>128</td><td>AMD EPYC 9004</td></tr><tr><td>64</td><td>256</td><td>Intel Xeon 8473C/8370C/8573C</td></tr><tr><td>64</td><td>1,024</td><td>Intel Xeon 8280M/E7-8890</td></tr><tr><td>120</td><td>448</td><td>Dual-socket EPYC 7773X</td></tr></tbody></table>

## GPU-based

<table><thead><tr><th width="88.16668701171875">vCPU</th><th width="139">RAM (Memory, GB)</th><th width="204.9998779296875">GPU</th><th>VRAM (GB)</th></tr></thead><tbody><tr><td>6</td><td>55</td><td>⅙  Tesla A10</td><td>4</td></tr><tr><td>4</td><td>28</td><td>Tesla T4</td><td>16</td></tr><tr><td>12</td><td>110</td><td>⅓  Tesla A10</td><td>8</td></tr><tr><td>12</td><td>112</td><td>Tesla M60</td><td>8</td></tr><tr><td>6</td><td>112</td><td>Tesla V100</td><td>16</td></tr><tr><td>36</td><td>440</td><td>Tesla A10</td><td>24</td></tr><tr><td>24</td><td>220</td><td>Tesla A100</td><td>80</td></tr><tr><td>64</td><td>440</td><td>4X Tesla T4</td><td>64</td></tr><tr><td>40</td><td>320</td><td>Tesla H100</td><td>94</td></tr><tr><td>20</td><td>160</td><td>½ Tesla H100 </td><td>47</td></tr></tbody></table>

## Storage-focused

<table><thead><tr><th width="87.3333740234375">vCPU</th><th width="141.6666259765625">RAM  (Memory, GB)</th><th>Additional temporary local storage (GB)</th></tr></thead><tbody><tr><td>8</td><td>64</td><td>1,920</td></tr><tr><td>16</td><td>128</td><td>3,840</td></tr><tr><td>32</td><td>256</td><td>1,200</td></tr><tr><td>64</td><td>1,024</td><td>7,168</td></tr></tbody></table>


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