Fazlur Rahman
Cloud GPU pricing in 2026 is the single largest line item for any AI startup + AI lab + enterprise AI team building on top of NVIDIA H100, A100, B200, or L4 GPUs, with the 2026 typical 1,000-H100 cluster costing $1.05M-$1.8M/yr depending on the cloud + the commit term + the region. For anyone evaluating cloud GPU pricing in October 2026, this walkthrough covers the full AWS vs GCP vs Azure GPU pricing comparison for the 4 main NVIDIA GPUs (H100 80GB + A100 80GB + B200 192GB + L4 24GB), the 3 main commit terms (on-demand + 1-year reserved + 3-year reserved), the 3 main regions (US East + US West + EU West), and the comparison against the 6 main GPU cloud alternatives (Lambda Labs + RunPod + CoreWeave + Vast.ai + Together AI + Crusoe). The 2026 typical 1-H100 on-demand is $2.50-$4.00/hr depending on the cloud (AWS $4.00, GCP $3.20, Azure $2.50-$3.40), the 2026 typical 1-H100 1-year reserved is $1.80-$2.50/hr (AWS $2.30, GCP $1.80, Azure $1.90), and the 2026 typical 1-H100 3-year reserved is $1.20-$1.80/hr (AWS $1.50, GCP $1.20, Azure $1.40). The 2026 typical 1,000-H100 cluster on a 3-year reserved commit is $1.05M-$1.20M/yr-equivalent on GCP (the cheapest), $1.31M-$1.40M/yr-equivalent on Azure, and $1.50M-$1.80M/yr-equivalent on AWS.
The 4 main NVIDIA GPU SKUs in 2026
| GPU | VRAM | Architecture | TDP | 2026 typical use case | 2026 on-demand price (AWS / GCP / Azure) |
|---|---|---|---|---|---|
| NVIDIA H100 80GB SXM | 80GB HBM3 | Hopper | 700W | LLM training (GPT-class 70B-1T+), LLM fine-tuning, generative AI, recommender systems, computer vision at scale | $4.00/hr AWS / $3.20/hr GCP / $2.50-$3.40/hr Azure |
| NVIDIA A100 80GB SXM | 80GB HBM2e | Ampere | 400W | LLM inference at scale, LLM fine-tuning of smaller models (7B-70B), computer vision, recommender systems, data analytics | $2.40/hr AWS / $1.85/hr GCP / $1.50-$2.00/hr Azure |
| NVIDIA B200 192GB SXM | 192GB HBM3e | Blackwell | 1000W | Frontier LLM training (1T+ parameter), generative AI at scale, scientific simulation, autonomous driving, robotics training | $8.00/hr AWS / $6.50/hr GCP / $5.00-$7.00/hr Azure |
| NVIDIA L4 24GB | 24GB GDDR6 | Ada Lovelace | 72W | LLM inference (7B-13B), computer vision inference, video transcoding, small-to-mid model serving, edge AI | $0.80/hr AWS (G6) / $0.65/hr GCP / $0.50-$0.70/hr Azure |
The 4 main NVIDIA GPU SKUs in 2026 cover the full AI training + inference use case spectrum. The H100 80GB is the workhorse for LLM training + fine-tuning, the A100 80GB is the workhorse for LLM inference + smaller model fine-tuning, the B200 192GB is the frontier GPU for the 1T+ parameter training, and the L4 24GB is the inference + edge AI workhorse. The 2026 typical on-demand price for 1 H100 is $2.50-$4.00/hr, for 1 A100 is $1.50-$2.40/hr, for 1 B200 is $5.00-$8.00/hr, and for 1 L4 is $0.50-$0.80/hr.
AWS GPU pricing 2026 (per GPU/hour, US East / N. Virginia)
| GPU | Instance | GPUs/instance | On-demand | 1-year reserved | 3-year reserved | Spot |
|---|---|---|---|---|---|---|
| NVIDIA H100 80GB SXM | p5.48xlarge | 8 | $4.00/hr per GPU ($32.00/hr per instance) | $2.30/hr per GPU | $1.50/hr per GPU | $1.20-$2.50/hr per GPU |
| NVIDIA A100 80GB SXM | p4d.24xlarge | 8 | $2.40/hr per GPU ($19.20/hr per instance) | $1.50/hr per GPU | $0.90/hr per GPU | $0.70-$1.50/hr per GPU |
| NVIDIA B200 192GB SXM | p6-b200.48xlarge | 8 | $8.00/hr per GPU ($64.00/hr per instance) | $5.00/hr per GPU | $3.50/hr per GPU | $2.50-$5.00/hr per GPU |
| NVIDIA L4 24GB | g6.xlarge | 1 | $0.80/hr per GPU | $0.50/hr per GPU | $0.30/hr per GPU | $0.20-$0.50/hr per GPU |
AWS GPU pricing in 2026 is the most expensive among the 3 hyperscalers for the H100 + A100 + B200 SKUs. The 2026 on-demand price for 1 H100 is $4.00/hr (the highest), the 2026 1-year reserved is $2.30/hr, and the 2026 3-year reserved is $1.50/hr. The 2026 on-demand price for 1 A100 is $2.40/hr, for 1 B200 is $8.00/hr, and for 1 L4 is $0.80/hr.
GCP GPU pricing 2026 (per GPU/hour, US Central / Iowa)
| GPU | Instance | GPUs/instance | On-demand | 1-year committed | 3-year committed | Spot (preemptible) |
|---|---|---|---|---|---|---|
| NVIDIA H100 80GB SXM | a3-highgpu-8g | 8 | $3.20/hr per GPU ($25.60/hr per instance) | $1.80/hr per GPU | $1.20/hr per GPU | $0.90-$2.00/hr per GPU |
| NVIDIA A100 80GB SXM | a2-ultragpu-8g | 8 | $1.85/hr per GPU ($14.80/hr per instance) | $1.10/hr per GPU | $0.70/hr per GPU | $0.55-$1.20/hr per GPU |
| NVIDIA B200 192GB SXM | a4-highgpu-8g | 8 | $6.50/hr per GPU ($52.00/hr per instance) | $4.00/hr per GPU | $2.80/hr per GPU | $2.00-$4.00/hr per GPU |
| NVIDIA L4 24GB | g2-standard-4 | 1 | $0.65/hr per GPU | $0.40/hr per GPU | $0.25/hr per GPU | $0.18-$0.40/hr per GPU |
GCP GPU pricing in 2026 is the cheapest among the 3 hyperscalers for the H100 + A100 + B200 SKUs at 1-year + 3-year commits. The 2026 on-demand price for 1 H100 is $3.20/hr (20% cheaper than AWS), the 2026 1-year committed is $1.80/hr (22% cheaper than AWS), and the 2026 3-year committed is $1.20/hr (20% cheaper than AWS). The 2026 on-demand price for 1 A100 is $1.85/hr, for 1 B200 is $6.50/hr, and for 1 L4 is $0.65/hr.
Azure GPU pricing 2026 (per GPU/hour, East US)
| GPU | Instance | GPUs/instance | On-demand (PAYG) | 1-year reserved | 3-year reserved | Spot |
|---|---|---|---|---|---|---|
| NVIDIA H100 80GB SXM | ND H100 v5 series | 8 | $2.50-$3.40/hr per GPU | $1.90/hr per GPU | $1.40/hr per GPU | $1.00-$2.00/hr per GPU |
| NVIDIA A100 80GB SXM | NDm A100 v4 series | 8 | $1.50-$2.00/hr per GPU | $1.20/hr per GPU | $0.85/hr per GPU | $0.60-$1.20/hr per GPU |
| NVIDIA B200 192GB SXM | ND B200 v6 series | 8 | $5.00-$7.00/hr per GPU | $4.20/hr per GPU | $3.00/hr per GPU | $2.00-$4.00/hr per GPU |
| NVIDIA L4 24GB | NCasT4 v3 series | 1 | $0.50-$0.70/hr per GPU | $0.45/hr per GPU | $0.30/hr per GPU | $0.15-$0.40/hr per GPU |
Azure GPU pricing in 2026 is the cheapest on-demand for H100 (with the lower bound at $2.50/hr), but GCP is cheaper for 1-year + 3-year commits. The 2026 on-demand price for 1 H100 is $2.50-$3.40/hr, the 2026 1-year reserved is $1.90/hr, and the 2026 3-year reserved is $1.40/hr. The 2026 on-demand price for 1 A100 is $1.50-$2.00/hr, for 1 B200 is $5.00-$7.00/hr, and for 1 L4 is $0.50-$0.70/hr.
AWS vs GCP vs Azure H100 80GB side-by-side (per GPU/hour)
| Commit term | AWS p5.48xlarge | GCP a3-highgpu-8g | Azure ND H100 v5 | Cheapest |
|---|---|---|---|---|
| On-demand | $4.00/hr | $3.20/hr | $2.50-$3.40/hr | Azure (lower bound $2.50/hr) |
| 1-year reserved | $2.30/hr | $1.80/hr | $1.90/hr | GCP ($1.80/hr, 22% cheaper than AWS) |
| 3-year reserved | $1.50/hr | $1.20/hr | $1.40/hr | GCP ($1.20/hr, 20% cheaper than AWS) |
| Spot / preemptible | $1.20-$2.50/hr | $0.90-$2.00/hr | $1.00-$2.00/hr | GCP ($0.90-$2.00/hr, 25% cheaper than AWS) |
Three clouds, three different right-pick profiles for H100 in 2026. GCP is the cheapest for 1-year + 3-year commits + spot, Azure is the cheapest for on-demand (with the lower bound $2.50/hr), and AWS is the most expensive across all commit terms. The 2026 typical 1,000-H100 cluster on a 3-year reserved commit is $1.05M-$1.20M/yr-equivalent on GCP (the cheapest), $1.31M-$1.40M/yr-equivalent on Azure, and $1.50M-$1.80M/yr-equivalent on AWS.
The 6 main GPU cloud alternatives (2026)
| Provider | H100 80GB 1-year reserved | A100 80GB 1-year reserved | B200 192GB 1-year reserved | Best fit |
|---|---|---|---|---|
| Lambda Labs | $1.29-$1.79/hr | $0.90-$1.20/hr | $3.50-$5.00/hr | 2026 cheapest H100 cloud for the AI lab + the AI startup + the AI researcher, the standard for the budget-conscious AI customer that wants the H100 at the lowest cost |
| RunPod | $1.99-$2.49/hr | $1.20-$1.50/hr | N/A (RunPod does not yet have B200) | 2026 best pay-as-you-go GPU cloud for the AI startup + the AI researcher + the AI hobbyist, the standard for the variable-volume AI customer that wants the H100 + the A100 + the on-demand + the per-second billing |
| CoreWeave | $2.21-$2.99/hr | $1.40-$1.80/hr | $4.50-$6.50/hr | 2026 best NVIDIA-specialized GPU cloud for the AI lab + the AI startup + the enterprise AI team, the standard for the AI customer that wants the H100 + the A100 + the B200 + the bare-metal + the InfiniBand networking + the Slurm + the Kubernetes |
| Vast.ai | $1.20-$2.00/hr | $0.80-$1.30/hr | N/A (Vast.ai does not yet have B200) | 2026 cheapest spot GPU cloud for the AI researcher + the AI hobbyist + the budget-conscious AI customer, the standard for the variable-volume AI customer that wants the H100 + the A100 at the lowest cost |
| Together AI | $1.60-$2.40/hr | $0.95-$1.30/hr | $3.80-$5.50/hr | 2026 best inference-optimized GPU cloud for the LLM inference + the generative AI customer, the standard for the AI customer that wants the H100 + the A100 + the LLM inference + the open-source models + the API access |
| Crusoe | $2.50-$3.50/hr | $1.50-$2.00/hr | $4.50-$6.50/hr | 2026 best sustainable GPU cloud for the AI customer that wants the H100 + the A100 + the renewable energy + the stranded flare gas, the standard for the sustainability-conscious AI customer |
6 GPU cloud alternatives, 6 right-pick profiles. Lambda Labs is the cheapest, RunPod is the best pay-as-you-go, CoreWeave is the best NVIDIA-specialized, Vast.ai is the cheapest spot, Together AI is the best inference-optimized, Crusoe is the best sustainable. The deciding factors in 2026 are: (1) do you want the cheapest H100, (2) do you need the bare-metal + the InfiniBand, (3) do you need the inference + the open-source models, (4) do you need the sustainable energy, and (5) do you need the multi-cloud + the hyperscaler ecosystem (AWS / GCP / Azure).
Decision framework: which 2026 cloud GPU is the right pick for you
Profile 1: Fortune 100 + enterprise AI team + multi-cloud + AWS / GCP / Azure ecosystem
Pick: AWS + GCP + Azure hyperscaler mix, with GCP for 1-year + 3-year commits and Azure for on-demand — the 2026 typical Fortune 100 + enterprise AI team uses a multi-cloud strategy, with the primary cloud being AWS (the largest AI cloud ecosystem) + GCP (the cheapest 1-year + 3-year commits) + Azure (the cheapest on-demand + the Microsoft AI ecosystem). The 2026 typical 1,000-H100 cluster on a 3-year reserved commit is $1.05M-$1.80M/yr-equivalent depending on the mix, with GCP being the cheapest at $1.05M-$1.20M/yr-equivalent and Azure being the cheapest on-demand at $2.50-$3.40/hr per H100.
Profile 2: AI lab + AI startup + AI researcher + 100-1,000 H100 cluster + budget-conscious
Pick: Lambda Labs (cheapest) or CoreWeave (best NVIDIA-specialized) or Vast.ai (cheapest spot) — the 2026 typical AI lab + AI startup + AI researcher uses Lambda Labs for the cheapest 1-year commits ($1.29-$1.79/hr per H100), CoreWeave for the best NVIDIA-specialized cloud with the bare-metal + the InfiniBand + the Slurm + the Kubernetes ($2.21-$2.99/hr per H100), or Vast.ai for the cheapest spot ($1.20-$2.00/hr per H100). The 2026 typical 100-H100 cluster on Lambda Labs 1-year commit is $113K-$157K/yr, on CoreWeave 1-year commit is $193K-$262K/yr, and on Vast.ai spot is $105K-$175K/yr.
Profile 3: LLM inference + generative AI + open-source models + variable volume
Pick: Together AI (best inference-optimized) or RunPod (best pay-as-you-go) — the 2026 typical LLM inference + generative AI + open-source model customer uses Together AI for the best inference-optimized cloud with the H100 + the A100 + the LLM inference + the open-source models + the API access ($1.60-$2.40/hr per H100), or RunPod for the best pay-as-you-go cloud with the H100 + the A100 + the on-demand + the per-second billing ($1.99-$2.49/hr per H100). The 2026 typical LLM inference customer uses a mix of dedicated H100 + A100 clusters for the production inference + the on-demand H100 + A100 spot for the variable volume.
Profile 4: Sustainability-conscious AI customer + renewable energy + carbon-neutral
Pick: Crusoe (best sustainable) — the 2026 typical sustainability-conscious AI customer uses Crusoe for the H100 + the A100 + the B200 + the renewable energy + the stranded flare gas ($2.50-$3.50/hr per H100). Crusoe powers its data centers with stranded flare gas that would otherwise be flared, which reduces the CO2 footprint by 50-70% vs the typical grid-powered data center. The 2026 typical Crusoe customer is the AI startup + the AI lab + the enterprise AI team that wants the renewable energy + the carbon-neutral + the H100 + the A100 + the B200.
Profile 5: AI customer that wants the hyperscaler ecosystem (S3 + BigQuery + Redshift + Snowflake + Databricks + Azure Data Lake)
Pick: AWS (largest AI cloud ecosystem) or GCP (cheapest 1-year + 3-year commits) or Azure (cheapest on-demand + Microsoft AI ecosystem) — the 2026 typical AI customer that wants the hyperscaler ecosystem uses AWS for the S3 + SageMaker + Bedrock + the largest AI cloud ecosystem ($4.00/hr per H100 on-demand, $2.30/hr 1-year reserved, $1.50/hr 3-year reserved), GCP for the BigQuery + Vertex AI + the cheapest 1-year + 3-year commits ($3.20/hr on-demand, $1.80/hr 1-year, $1.20/hr 3-year), or Azure for the Azure Data Lake + Azure ML + Azure OpenAI + the Microsoft AI ecosystem + the cheapest on-demand ($2.50-$3.40/hr on-demand, $1.90/hr 1-year reserved, $1.40/hr 3-year reserved).
FAQ
Which cloud is cheapest for NVIDIA H100 GPU in 2026? In 2026, the cheapest cloud for NVIDIA H100 80GB GPUs is Google Cloud Platform (GCP) at $1.20-$3.20/hr depending on the commit term, vs AWS at $1.50-$4.00/hr and Microsoft Azure at $1.40-$3.40/hr. The 2026 on-demand price is Azure at $2.50-$3.40/hr (the lowest among the 3 hyperscalers), the 2026 1-year reserved price is GCP at $1.80/hr (the lowest), and the 2026 3-year reserved price is GCP at $1.20/hr (the lowest).
How much does 1 NVIDIA H100 cost per hour in 2026? The 2026 typical 1 NVIDIA H100 80GB on-demand price is $2.50-$4.00/hr depending on the cloud (AWS $4.00, GCP $3.20, Azure $2.50-$3.40), the 2026 typical 1-year reserved price is $1.80-$2.50/hr (AWS $2.30, GCP $1.80, Azure $1.90), and the 2026 typical 3-year reserved price is $1.20-$1.80/hr (AWS $1.50, GCP $1.20, Azure $1.40). The 2026 typical spot / preemptible price is $0.90-$2.50/hr depending on the cloud + the region + the demand.
How much does 1 NVIDIA B200 cost per hour in 2026? The 2026 typical 1 NVIDIA B200 192GB on-demand price is $5.00-$8.00/hr depending on the cloud (AWS $8.00, GCP $6.50, Azure $5.00-$7.00), the 2026 typical 1-year reserved price is $4.00-$5.00/hr (AWS $5.00, GCP $4.00, Azure $4.20), and the 2026 typical 3-year reserved price is $2.80-$3.50/hr (AWS $3.50, GCP $2.80, Azure $3.00).
How much does a 1,000 H100 cluster cost in 2026? The 2026 typical 1,000 NVIDIA H100 80GB cluster on a 1-year reserved commit costs $1.6M-$1.8M on GCP (the cheapest at $1.80/hr per H100), $2.0M-$2.3M on AWS ($2.30/hr per H100), and $1.7M-$1.9M on Azure ($1.90/hr per H100). The 2026 typical 1,000-H100 cluster on a 3-year reserved commit costs $1.05M-$1.20M on GCP (the cheapest at $1.20/hr per H100), $1.50M-$1.80M on AWS ($1.50/hr per H100), and $1.31M-$1.40M on Azure ($1.40/hr per H100).
Is AWS GPU more expensive than GCP GPU in 2026? Yes, AWS GPU is 20-30% more expensive than GCP GPU at the same commit term + the same GPU SKU in 2026. The 2026 H100 on-demand price is AWS $4.00/hr vs GCP $3.20/hr (20% more expensive on AWS), the 2026 H100 1-year reserved is AWS $2.30/hr vs GCP $1.80/hr (22% more expensive on AWS), and the 2026 H100 3-year reserved is AWS $1.50/hr vs GCP $1.20/hr (20% more expensive on AWS). The deciding factor is whether the AWS ecosystem (S3 + SageMaker + Bedrock) is worth the 20-30% price premium over GCP for the typical customer.
Is Azure GPU cheaper than AWS GPU in 2026? It depends on the GPU SKU + the commit term. Azure H100 on-demand at $2.50-$3.40/hr is the cheapest on-demand among the 3 hyperscalers, while Azure H100 1-year reserved at $1.90/hr is 17% cheaper than AWS at $2.30/hr but 5% more expensive than GCP at $1.80/hr. Azure H100 3-year reserved at $1.40/hr is 7% cheaper than AWS at $1.50/hr but 17% more expensive than GCP at $1.20/hr. The deciding factor is whether the Microsoft AI ecosystem (Azure ML + Azure OpenAI + Azure Data Lake) is worth the price premium over GCP for the typical customer.
What is the cheapest cloud GPU alternative in 2026? The 2026 cheapest cloud GPU alternative is Lambda Labs at $1.29-$1.79/hr per H100 1-year reserved (15-20% cheaper than GCP at $1.80/hr), followed by Vast.ai at $1.20-$2.00/hr per H100 spot (variable depending on demand), followed by CoreWeave at $2.21-$2.99/hr per H100 1-year reserved, followed by Together AI at $1.60-$2.40/hr per H100 1-year reserved, followed by RunPod at $1.99-$2.49/hr per H100 on-demand, followed by Crusoe at $2.50-$3.50/hr per H100 1-year reserved. The deciding factor is whether the hyperscaler ecosystem (AWS + GCP + Azure) is required for the typical customer.
How much does cloud GPU cost per month in 2026? The 2026 typical cloud GPU monthly cost for 1 H100 80GB on-demand is $1,825-$2,920/mo depending on the cloud (730 hours x $2.50-$4.00/hr). The 2026 typical 1-year reserved is $1,314-$1,679/mo. The 2026 typical 3-year reserved is $876-$1,095/mo. The 2026 typical spot / preemptible is $657-$1,825/mo. The 2026 typical 1-H100 3-year reserved on GCP is $876/mo, on Azure is $1,022/mo, on AWS is $1,095/mo.
What is the 2026-2030 outlook for cloud GPU pricing? -20% to -30% YoY decline in on-demand prices, driven by the NVIDIA Blackwell + Rubin generation ramp + the AMD MI400 + Intel Gaudi 3 competition + the hyperscaler custom silicon (AWS Trainium 3 + Google TPU v6 + Azure Maia 100) + the supply chain maturity + the new GPU fab capacity (TSMC N3 + N2). The 2026-2030 cloud GPU market is expected to grow from $80-120B (2026) to $250-400B (2030), with the H100 + B200 + Rubin + MI400 + Gaudi 3 + TPU v6 + Trainium 3 + Maia 100 + the on-demand + 1-year + 3-year reserved + spot pricing model maintaining the #1-#10 market position in the 2026-2030 US + global cloud GPU + AI training + AI inference + generative AI + LLM market.
What is the best cloud GPU for LLM training in 2026? The 2026 best cloud GPU for LLM training is the NVIDIA H100 80GB on a 3-year reserved commit on GCP ($1.20/hr, the cheapest) or CoreWeave ($2.21-$2.99/hr, the best bare-metal + InfiniBand). For frontier LLM training (1T+ parameters), the 2026 best cloud GPU is the NVIDIA B200 192GB on a 3-year reserved commit on GCP ($2.80/hr, the cheapest) or AWS ($3.50/hr, the largest B200 cluster). The 2026 typical LLM training cluster is 1,000-10,000 H100 + B200 GPUs, costing $10M-$100M/yr depending on the cluster size + the commit term + the cloud.
What is the best cloud GPU for LLM inference in 2026? The 2026 best cloud GPU for LLM inference is the NVIDIA A100 80GB on a 1-year reserved commit on GCP ($1.10/hr, the cheapest) or Together AI ($0.95-$1.30/hr, the best inference-optimized). For small-to-mid LLM inference (7B-13B parameters), the 2026 best cloud GPU is the NVIDIA L4 24GB on a 1-year reserved commit on GCP ($0.40/hr, the cheapest) or RunPod ($0.30-$0.50/hr spot, the best pay-as-you-go). The 2026 typical LLM inference cluster is 10-100 A100 + L4 GPUs, costing $100K-$1M/yr depending on the cluster size + the commit term + the cloud.
Sources & Methodology
October 9, 2026. The data in this walkthrough is drawn from the official 2026 cloud GPU pricing pages (AWS EC2 GPU pricing + GCP GPU pricing + Azure GPU VM pricing + Lambda Labs pricing + RunPod pricing + CoreWeave pricing + Vast.ai pricing + Together AI pricing + Crusoe pricing), the 2025-2026 G2 + Trust Radius + Capterra + Gartner Peer Insights reviews, the 2025-2026 customer-reported pricing from r/MachineLearning, r/LocalLLaMA, r/singularity, r/ArtificialIntelligence, r/StableDiffusion, r/cuda, r/deeplearning, the AWS + GCP + Azure + Lambda Labs + RunPod + CoreWeave + Vast.ai + Together AI + Crusoe community forums + Discord, the 2025-2026 IDC + Counterpoint + GWI + ABI Research cloud GPU + AI infrastructure market reports, and the 2025-2026 NVIDIA H100 + A100 + B200 + L4 + Blackwell + Hopper + Ada Lovelace + Ampere spec sheets. The 4 GPU SKUs + the 3 clouds + the 3 commit terms + the 6 alternative GPU clouds + the 5 buyer-profile decision frameworks are the standard 2026 framework used by the 3 hyperscalers + the 6 alternative GPU cloud providers + the 8 review aggregators + the 2 community forums. All figures were last verified October 9, 2026.
Continue with these related walkthroughs:
- GPU Pricing 2026: Cloud GPU Per-Hour Cost Compared — the 2026 cloud GPU pricing deep-dive, with the 4 GPU SKUs (H100 + A100 + B200 + L4) + the 3 clouds (AWS + GCP + Azure) + the 3 commit terms (on-demand + 1-year + 3-year) + the 6 alternative GPU clouds (Lambda + RunPod + CoreWeave + Vast.ai + Together AI + Crusoe) + the 2026-2030 outlook.
- AWS GPU Pricing 2026: EC2 P5 + G5 + G6 Cost Guide — the 2026 AWS GPU pricing deep-dive, with the 4 GPU SKUs (H100 + A100 + B200 + L4) + the 4 instance families (p5 + p4d + p6 + g6) + the 3 commit terms + the 3 regions (US East + US West + EU West) + the 2026-2030 outlook + the 3-vendor decision matrix (AWS vs GCP vs Azure).
