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.
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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.
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.
How much GPU VRAM do you need?
The 2 GB-per-billion-params rule for FP16, why training needs far more, how LoRA and quantization cut it, and a table mapping model sizes to GPUs.
Spot vs on-demand vs reserved GPUs
The three GPU pricing modes explained: typical discounts, interruption risk, checkpointing strategy, and exactly when each one saves you the most money.
H100 vs A100 vs H200: which training GPU
VRAM, memory bandwidth, BF16 throughput, and hourly price compared across the three GPUs most teams choose between for training and fine-tuning.
Reader favourites
GPU Cloud Marketplaces: How Spot GPU Bidding Actually Works
How GPU cloud marketplaces and spot bidding work: where the cheap capacity comes from, the interruption risk, and how to use it safely.
GPU Cloud Availability by Region: Where H100s Are Actually In Stock
H100 availability varies wildly by region. Learn why GPU stock is uneven, how to find capacity, and how to plan around scarcity without overpaying.
InfiniBand vs Ethernet in GPU Clouds: Why Interconnect Matters
At scale, the network between GPUs can matter more than the GPUs. Here is how InfiniBand and modern Ethernet compare for distributed training.
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.
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.
H100 vs A100 vs H200: which training GPU
VRAM, memory bandwidth, BF16 throughput, and hourly price compared across the three GPUs most teams choose between for training and fine-tuning.
Bare Metal vs Virtualized GPU Cloud: Performance and Price Tradeoffs
Bare metal or virtualized GPU cloud? Compare performance overhead, isolation, flexibility, and price so you can pick the right one for your workload.
Best GPU Cloud for Stable Diffusion and Image Generation
How to choose GPU cloud for Stable Diffusion: which cards fit, how VRAM and batch size drive cost, and a workflow to find the cheapest image throughput.
GH200 Grace Hopper in the Cloud: Superchip Pricing and Use Cases
What the GH200 Grace Hopper superchip is, how its CPU plus GPU design changes pricing, and the workloads where renting one actually pays off.
GPU Cloud Free Tiers and Credits: How to Test GPUs for Free
A practical guide to GPU cloud free tiers, trial credits, and startup programs so you can benchmark H100s and A100s without paying upfront.
GPU Cloud Cold Start Times Compared: Provisioning Speed Benchmarks
Provisioning speed is a hidden cost in GPU cloud. Here is what drives cold start times and how to benchmark them across providers.