Practical analysis on GPU procurement, AI infrastructure, and wholesale compute markets — for teams running serious workloads.
Hyperscalers bundle 8 cost layers into every GPU invoice. You only need one: the GPU. Here's the structural breakdown of why wholesale pricing is durably ~30% lower, and how to get it.
That H100 rate you were quoted includes 192 vCPUs, 2 TB of RAM, and 30 TB of storage you may not need. Here is what a GPU quote actually covers and what shows up later on the invoice.
How many H100s does one B200 replace? 2.2x for training, 2.9x for FP8 inference, 4-7x for FP4. The real ratios and the sizing worksheet for 2026.
NVIDIA quotes B200 at $0.02/M tokens. Real workloads land $0.02-$0.31/M. That is a 15x spread on the same hardware. The measured math, with hyperscaler stacking.
GB200 NVL72: 72 B200 GPUs in one NVLink domain, 120 kW per rack, mandatory liquid cooling, $2-3M sticker. When it actually beats 8-GPU HGX B200 and when it doesn't.
B200 throughput varies 8.6x across workloads, from 6,972 to 60,000 tok/s/GPU. Here's the four-metric methodology to benchmark before you commit.
Hardware is 25-35% of GPU cluster TCO. A 100-GPU H100 cluster runs $3M in hardware but $8.6M over 5 years all-in. Here's the line-by-line for 2026.
PAYG, reserved, or spot? The three GPU billing models, what each costs, and the break-even maths finance teams need before signing a 1-year hyperscaler commit.
Your GPU rate isn't the problem. The 95% of capacity sitting idle while the meter runs is. Here's what actually causes GPU bills to spike at cluster scale, and the four fixes that move the number.
GPU pricing in 2026 depends on three things: the GPU model, the provider type, and the contract length. Here's the full breakdown across H100, H200, B200, and B300, and how to access rates hyperscalers can't match.
An H100 SXM5 starts from ~$2.50/GPU/hr through GPUaaS.com on a short-term or long-term contract. The equivalent AWS p5.48xlarge on a 1-year Savings Plan runs ~$3.78/GPU/hr. Here's the full breakdown including SXM5 vs PCIe, hidden costs, and cost per token.
The B200 SXM delivers 2.2x the FP8 inference throughput of an H200 and 192 GB of HBM3e memory. But at $6 to $10/GPU/hr with constrained availability, it's not the right call for every workload. Here's what enterprise buyers need to know before committing.
The H200 SXM packs 141 GB HBM3e and 4.8 TB/s memory bandwidth into a form factor that fits your existing H100 SXM infrastructure. Here's the full spec breakdown, current rental pricing, and which workloads actually justify the upgrade.
Uber burned its 2026 AI budget in four months. Microsoft cancelled Claude Code. GitHub ended flat-rate billing. The pattern is the same everywhere: the tools got used, the bills arrived, and nobody had a framework for it.
H100 is faster than A100 on every benchmark. But faster doesn't mean cheaper per job. Here's the break-even maths and the workloads where A100 at $1.20/hr still wins.
H200 is not always the better rental. The right answer depends on your model size, context window, and whether memory or compute is your actual bottleneck. Here's how to decide.
Your inference bill isn't scaling with requests — it's scaling with context length. Here's why the KV cache is the culprit, and the four techniques that fix it.
Your cluster OOM'd and it wasn't a code bug. Here's the exact VRAM maths — model weights, KV cache, quantisation, and what it means for your GPU choice.
Three generations of NVIDIA data-centre GPUs, three very different cost profiles. We cut through the spec sheet noise to tell you exactly which one to rent — and when switching would be a mistake.
On-demand GPU feels safer. Reserved saves 30–60%. The right choice comes down to one number: how many hours will this cluster actually run?
B200 SXM lead times have stretched to 8-16 weeks for enterprise buyers. A 3.6M-unit Blackwell backlog and persistent inference demand mean Q3 sourcing needs to start now.
The H200 costs ~66% less per hour than the B200. The B200 is ~2x faster on training jobs. Which one saves you money depends entirely on what you are running and when you need it.
Get quotes from 20+ vetted providers within 24 hours — B200, H200, H100, A100. No lock-in.