DeployCue Cloud Cost Blog
Practical guides for developers and ML teams: how to choose a GPU host, cutting egress costs, LLM API pricing, spot vs on-demand, storage tiers, Kubernetes economics, and cloud billing explained.
Fresh off the desk
AMD MI300X Cloud Providers: Where to Rent and What It Costs
A guide to renting the AMD MI300X in the cloud: where it is available, how pricing compares, and the workloads where it makes the most sense.
NVIDIA B200 Cloud Availability: Who Has Blackwell GPUs Now
A 2026 guide to NVIDIA B200 cloud availability, who is offering Blackwell GPUs, how to access them, and whether they are worth the premium.
H100 vs A100: Which Cloud GPU Should You Rent in 2026?
A practical 2026 comparison of the NVIDIA H100 and A100 for cloud rental, covering performance, memory, price, and which workloads favor each.
What Is GPU Cloud Computing? A Beginner Guide to Renting GPUs
A plain-language introduction to GPU cloud computing: what it is, why GPUs matter, and how renting them in the cloud works for beginners.
GPU Cloud Pricing Comparison 2026: Where to Rent GPUs Cheapest
A practical 2026 buyer roundup of GPU cloud pricing, covering on-demand, reserved, and spot rates across hyperscalers, neoclouds, and marketplaces.
Cheapest H100 Cloud Providers Ranked by Hourly Price
How to find the cheapest H100 cloud providers in 2026, the pricing models that move the rate, and the hidden costs to check before you commit.
Budget clouds vs hyperscalers: what you trade
Budget providers can be 3-5x cheaper on compute and far cheaper on egress. Here is exactly what you give up - and when that trade is worth it.
VPS vs bare metal vs serverless: choosing compute
Three compute models, three cost curves. Learn the tradeoffs in price, performance, and ops - and exactly when each one wins.
Managed Kubernetes pricing guide: every line item
The control plane is the smallest part of your Kubernetes bill. Here is where the real money goes - nodes, load balancers, egress, and GPU pools.
Serverless GPU vs dedicated: when to switch
Per-second scale-to-zero or hourly rental? Learn the utilization break-even, how cold starts bite, and which workloads belong on each model.
Block vs Object Storage: When to Use Which
Block storage acts like a disk; object storage acts like an infinitely large key-value store. Here is how they differ in architecture, performance, pricing, and the right use case for each.
Understanding Cloud Egress Fees: What You Pay and Why
Ingress is free, egress is not - and the rate depends on where the bytes go. Here is how internet, inter-region, and same-region transfer are billed, and why hyperscalers charge.
Reader favourites
Inference Autoscaling: Handling Traffic Spikes Without Overpaying
Autoscaling inference well means absorbing spikes without paying for idle GPUs the rest of the time. Here is how to tune it.
Deploying Mixtral and MoE Models: Cost Quirks of Sparse Experts
Mixture-of-experts models like Mixtral are cheap to run but expensive to hold in memory. That quirk drives every cost decision.
Set Up a Fault-Tolerant Spot Training Job From Scratch
Build a training job that survives spot interruptions through checkpointing, automatic resume, and a sensible fallback.
Continuous Batching: The Trick Behind High-Throughput LLM Serving
Continuous batching keeps the GPU busy by swapping finished requests for new ones mid-flight. It is why modern serving is so efficient.
AWS Trainium vs NVIDIA GPUs: Custom Silicon for Training Compared
AWS Trainium promises lower training costs than NVIDIA GPUs, but the tradeoff is ecosystem maturity. Here is how the two compare for real workloads.
Setting Up GPU Cloud Budget Alerts Before Bills Explode
A beginner-friendly guide to GPU cloud budget alerts: thresholds, anomaly detection, and hard stops that catch runaway spend before it hurts.
Throughput vs Latency in LLM Inference: Optimizing the Right Metric
Optimizing throughput and latency at the same time pulls in opposite directions. Know which one your product actually needs.
Serverless vs Dedicated Inference Endpoints: Picking by Traffic Pattern
Serverless or dedicated? The right choice depends almost entirely on how your traffic behaves. Here is the decision framework.
Cost to Run Llama 3 70B in Production: GPU Sizing and Pricing
Running Llama 3 70B yourself means picking the right GPUs and keeping them busy. Here is how to size hardware and estimate the real production cost.
GPU Cloud Billing Units: Per-Second, Per-Minute, and Per-Hour Compared
Billing granularity quietly shapes your GPU bill. Compare per-second, per-minute, and per-hour pricing and learn which fits your workload.
Cost Per Million Tokens Compared Across Top Inference APIs
How to compare cost per million tokens across inference APIs the right way, accounting for input and output splits, model tiers, and hidden fees.
Set Up GPU Monitoring With Prometheus and Grafana
Build a GPU monitoring dashboard with Prometheus and Grafana so you can spot idle GPUs, thermal throttling, and wasted spend at a glance.