Calculate GPU requirements and costs
Plan your AI model deployment with precise GPU requirements and cost estimates. Compare different models, quantization options, and cloud providers.
Calculate GPU Requirements
Select your model and deployment preferences
Your Results
GPU Requirements & Cost Analysis
VRAM Required
Full Precision
16 GB
GPU Count
A100 40GB SXM
1x
Monthly Cost
720 hours/month
$2,952.00
Recommended Setup
Based on your requirements and comprehensive hardware analysis
Hardware Specifications
Total VRAM
Required Memory
GPU Count
A100 40GB SXM
Cost Analysis
Monthly Cost
For 720 hrs/mo
Hourly Rate
Per instance
Deployment Insight
This setup is optimized for on-demand workloads on AWS infrastructure.
This recommendation is based on hardware requirements and cost optimization. Consider your specific use case, scalability needs, and budget constraints in your final decision.
Pricing Options Comparison
Compare different pricing models for AWS
On-Demand
Current$4.10
per hour
• No upfront commitment
• Maximum flexibility
• Higher hourly rate
Spot
$1.15
per hour
• 72% cost savings
• Interruptible workloads
• Requires failover strategy
1-Year Reserved
$2.52
per hour
• 39% cost savings
• 1-year commitment
• Predictable pricing
3-Year Reserved
$1.56
per hour
• 62% cost savings
• 3-year commitment
• Best for stable workloads
Recommended Option
Based on your high monthly usage (720 hours), a Reserved Instance would be most cost-effective. The 3-year term offers the highest savings of 62% compared to on-demand pricing.
Annual Cost Comparison
Key Considerations
- •Reserved instances require upfront commitment but offer significant savings
- •Spot instances can be interrupted but provide maximum cost savings
- •Consider your workload stability and duration when choosing
Cost Breakdown
Detailed cost analysis for your deployment
Hourly Cost
$4.10
Daily Cost (24h)
$98.40
Weekly Cost (168h)
$688.80
Provider Price Comparison
Compare GPU pricing across different cloud providers
Enterprise Cloud
Traditional cloud providers with comprehensive services
ML Platforms
Specialized platforms for machine learning workloads
GPU Marketplaces
Cost-effective GPU rental platforms
| Provider | On-Demand | Spot/Preemptible | 1-Year Reserved | 3-Year Reserved | Monthly (720h) |
|---|---|---|---|---|---|
VAST | $1.19 | - | - | - | $856.80 |
RUNPOD | $1.25 | - | - | - | $900.00 |
LAMBDA | $1.29 | - | - | - | $928.80 |
MODAL | $2.78 | - | - | - | $2,001.60 |
GCP | $3.67 | $1.17 | $2.31 | $1.29 | $2,642.40 |
AZURE | $3.91 | $1.17 | $2.40 | $1.49 | $2,815.20 |
AWS | $4.10 | $1.15 | $2.52 | $1.56 | $2,952.00 |
Cost-Saving Opportunities
- GPU marketplaces offer up to 71% savings compared to major cloud providers
- Reserved instances can reduce costs by up to 62% for long-term workloads
- Spot instances offer 72% savings for interruptible workloads
Provider Comparison
- Enterprise clouds offer comprehensive services but at premium prices
- ML platforms provide optimized infrastructure with simplified deployment
- GPU marketplaces are cost-effective but may have limited availability
Model Comparison
Compare your selected model with other options
| Model | Parameters | VRAM (Full) | VRAM (4-bit) | Monthly Cost* | Recommended Setup |
|---|---|---|---|---|---|
DeepSeek-R1-Distill-Qwen-1.5B | 1.5B | 3.5 GB | 1 GB | $2,952.00 | NVIDIA RTX 3060 12GB or higher |
SAM-ViT-H | 0.6B | 4 GB | 1 GB | $2,952.00 | NVIDIA RTX 3050 8GB |
Stable Diffusion 2.1 | 1.5B | 8 GB | 2 GB | $2,952.00 | NVIDIA RTX 3060 12GB |
Llama-2-7B | 7B | 14 GB | 4 GB | $2,952.00 | NVIDIA RTX 4080 16GB |
Mistral-7B | 7B | 14 GB | 4 GB | $2,952.00 | NVIDIA RTX 4080 16GB |
DeepSeek-R1-Distill-Qwen-7B | 7B | 16 GB | 4 GB | $2,952.00 | NVIDIA RTX 4080 16GB or higher |
Stable Diffusion XL | 6.6B | 16 GB | 4 GB | $2,952.00 | NVIDIA RTX 4080 16GB |
DeepSeek-R1-Distill-Llama-8B | 8B | 18 GB | 4.5 GB | $2,952.00 | NVIDIA RTX 4080 16GB or higher |
Llama-2-13B | 13B | 26 GB | 7 GB | $2,952.00 | NVIDIA A100 40GB |
StarCoder-15B | 15B | 30 GB | 7.5 GB | $2,952.00 | NVIDIA A100 40GB |
DeepSeek-R1-Distill-Qwen-14B | 14B | 32 GB | 8 GB | $2,952.00 | Multi-GPU setup (NVIDIA RTX 4090 x2) |
CodeLlama-34B | 34B | 68 GB | 17 GB | $3,686.40 | NVIDIA A100 80GB |
DeepSeek-R1-Distill-Qwen-32B | 32B | 74 GB | 18 GB | $3,686.40 | Multi-GPU setup (NVIDIA RTX 4090 x4) |
Llama-2-70B | 70B | 140 GB | 35 GB | $7,372.80 | Multi-GPU setup (NVIDIA A100 80GB x2) |
DeepSeek-R1-Distill-Llama-70B | 70B | 161 GB | 40 GB | $11,059.20 | Multi-GPU setup (NVIDIA A100 80GB x2) |
PaLM-E | 562B | 1124 GB | 281 GB | $55,296.00 | Multi-GPU setup (NVIDIA A100 80GB x14) |
DeepSeek-R1-Zero | 671B | 1342 GB | 336 GB | $62,668.80 | Multi-GPU setup (NVIDIA A100 80GB x16) |
DeepSeek-R1 | 671B | 1342 GB | 336 GB | $62,668.80 | Multi-GPU setup (NVIDIA A100 80GB x16) |
GPT-4V | 1.8T | 3600 GB | 900 GB | $165,888.00 | Multi-GPU setup (NVIDIA H100 80GB x45) |
Claude 3 Opus | 2.5T | 5000 GB | 1250 GB | $232,243.20 | Multi-GPU setup (NVIDIA H100 80GB x63) |
* Monthly costs are calculated based on your selected provider (AWS), deployment type (onDemand), and usage (720 hours/month)
Smart Planning
Everything you need for GPU infrastructure planning
Make informed decisions about your AI model deployment with our comprehensive planning tools
Model Requirements
Get precise VRAM requirements for different AI models and configurations
Cost Analysis
Calculate cloud costs across different providers and deployment options
Performance Insights
Compare different GPU configurations and their capabilities
Deployment Options
Explore various deployment scenarios from single GPU to distributed setups