Groq
AvailableBest for Real-time conversational AI and ultra-low latency applications.
GPUs: Custom LPU
$0.10/hr
ViewUse Case
Best GPU Cloud for LLM Deployment (2026)
Compare 3 GPU cloud providers optimised for LLM Deployment. Get infrastructure recommendations, pricing benchmarks, and instant quotes.
Get Matched with Providers →GPU Cloud for LLM Deployment
Find the best GPU cloud providers for LLM Deployment workloads. Compare infrastructure requirements, pricing, and provider availability on ComputeStacker.
Infrastructure Requirements for LLM Deployment
- Sufficient GPU VRAM for your model
- Reliable uptime SLA
- Competitive pricing
- Good support
Recommended GPUs for LLM Deployment
H100, A100, RTX 4090 (depends on workload)
Cost Breakdown
Pricing varies by provider and GPU type. Use the comparison tool to find the best rates for your specific LLM Deployment workload.
How to Get Started with LLM Deployment on GPU Cloud
- Define your requirements: GPU type, VRAM, number of GPUs, storage, location
- Compare providers: Use ComputeStacker to filter by GPU type, region, and price
- Request quotes: Submit your requirements and get proposals within 24 hours
- Start small, scale fast: Begin with single-GPU testing before committing to larger clusters
3 Providers for LLM Deployment
Fireworks.ai
AvailableGPUs: H100, A100, H200
$7.00/hr
View
SambaNova
WaitlistBest for Enterprise deployments requiring massive context windows and data privacy.
GPUs: SN40L, Custom ASIC
$5.00/hr
ViewFrequently Asked Questions
The recommended GPU for LLM Deployment is: H100, A100, RTX 4090 (depends on workload). The best choice depends on your model size, budget, and latency requirements. ComputeStacker's comparison tool helps you match your workload to the right hardware.
Pricing varies by provider and GPU type. Use the comparison tool to find the best rates for your specific LLM Deployment workload.
ComputeStacker currently lists 3 providers with infrastructure suitable for LLM Deployment workloads. Use the filters to narrow by GPU type, location, and budget.
Yes — use ComputeStacker's quote request system. Describe your LLM Deployment requirements and receive proposals from multiple providers within 24 hours. No commitment required.