AI-Powered Intelligence forData Center GPU Decisions
NVIDIA, AMD & Google TPU specs side-by-side. Cloud pricing across 7 providers. TCO analysis. AI-powered recommendations.
17+
Accelerators
7
Cloud Providers
$2.23/hr
Cheapest H100
GPU & TPU Showdown
Full specification comparison — NVIDIA Blackwell, AMD CDNA 4, and Google Ironwood · Trillium architectures.
Blackwell Ultra B300
Blackwell B200
Hopper H200 SXM
Hopper H100 SXM5
Ampere A100 SXM4
Ada L40S
Instinct MI355X
Instinct MI350X
Instinct MI325X
Instinct MI300X
Instinct MI250X
Instinct MI300A
Ironwood TPU v7
Trillium TPU v6e
Cloud TPU v5p
Cloud TPU v5e
Cloud TPU v4
Specifications sourced from official NVIDIA, AMD, and Google product datasheets. Performance figures represent peak theoretical throughput. Updated Q1 2026.
GPU Comparator
Pick any two data center accelerators and compare specs, performance, and value side-by-side.
Popular Comparisons
H100 vs MI300X
NVIDIA vs AMD flagship battle
B200 vs H200
Next-gen vs current-gen NVIDIA
B200 vs MI355X
2026 flagship showdown
H200 vs H100
Hopper upgrade comparison
H100 vs A100
Generational leap analysis
MI325X vs MI300X
AMD Instinct evolution
L40S vs A100
Inference vs training
B300 vs B200
Blackwell Ultra vs Blackwell
Benchmark & Market Analysis
Engineering-depth hardware metrics alongside investor-grade training time and efficiency projections across 12 accelerators.
CUDA ecosystem dominance, largest software library, fastest time-to-deploy for AI teams.
Memory capacity leadership (288 GB), aggressive pricing, growing ROCm ecosystem with PyTorch support.
Custom ICI interconnect enables unmatched multi-chip scaling. Tightest JAX/TensorFlow integration.
FP16 Compute
Raw FP16 peak throughput — the primary measure of AI training speed
B300 Blackwell Ultra delivers 3,500 FP16 TFLOPS — about 1.55× the B200 and 1.77× the H100. For large-scale LLM pre-training, raw TFLOPS directly correlates with time-to-model.
NVIDIA holds a commanding lead in raw compute. B300 is the clear choice for time-sensitive pre-training workloads.
AI Compute Cost Calculator
Estimate GPU training time and total cost for large language model training using Chinchilla-optimal scaling.
Configuration
7B Model on H100 SXM5
8 GPUs · AWS · 35% MFU
Training Time
12.3 days
Total Cost
$29.0K
Cost / Token
$2.07e-7
GPU-Hours
2.4K
All GPUs — 7B Model · 8 GPUs · AWS
| GPU | Count | Training Time | Total Cost | Cost/Token |
|---|---|---|---|---|
CheapestB200 | 8 | 2.7 days | $6.4K | $4.55e-8 |
B300 Ultra | 8 | 10.8 days | $25.5K | $1.82e-7 |
H200 SXM | 8 | 12.3 days | $29.0K | $2.07e-7 |
H100 SXM5 | 8 | 12.3 days | $29.0K | $2.07e-7 |
MI325X | 8 | 18.6 days | $43.9K | $3.13e-7 |
MI300X | 8 | 18.6 days | $43.9K | $3.13e-7 |
A100 SXM4 | 8 | 77.9 days | $183.8K | $0.000001 |
L40S | 8 | 132.8 days | $313.4K | $0.000002 |
Estimates based on Chinchilla-optimal training tokens (20× parameters) at 35% MFU. Real-world results vary by framework, optimization, and data pipeline efficiency.
AI Infrastructure Advisor
Input your model and dataset — get GPU recommendations, node count, training time, and cost estimates instantly.
Your Workload
B200×8
1 node · NVIDIA · 192GB/GPU · 8 kW total
GPUs Required
8
Nodes
1
Training Time
2.7 days
Cloud Cost
$1K
All GPU Options — 7B Model · 140B Tokens
| # | GPU | GPUs | Nodes | Time | Cloud Cost | On-Prem Cost | Power |
|---|---|---|---|---|---|---|---|
| Best | B200192GB | 8 | 1 | 2.7 days | $1K | $280K | 8 kW |
| 2 | B300 Ultra288GB | 32 | 4 | 2.7 days | $5K | $1.3M | 45 kW |
| 3 | H200 SXM141GB | 40 | 5 | 2.5 days | $6K | $1.2M | 28 kW |
| 4 | H100 SXM580GB | 40 | 5 | 2.5 days | $6K | $1.0M | 28 kW |
| 5 | MI325X288GB | 56 | 7 | 2.7 days | $9K | $1.2M | 42 kW |
| 6 | MI300X192GB | 56 | 7 | 2.7 days | $9K | $840K | 42 kW |
| 7 | A100 SXM480GB | 208 | 26 | 3.0 days | $37K | $2.5M | 83 kW |
| 8 | L40S48GB | 360 | 45 | 3.0 days | $63K | $2.9M | 126 kW |
Recommendations assume 35% MFU, 8 GPUs/node, and FP16 mixed-precision training. On-prem cost shows hardware only (excludes power, cooling, staffing). Actual requirements vary by framework, parallelism strategy, and optimization level.
Compare Cloud GPU Costs
Real-time pricing across AWS, GCP, Azure, Lambda, and CoreWeave. Find the best $/hr for your workload.
$4.76
Cheapest H100/hr
CoreWeave per GPU
$5.50
Best Spot Deal
AWS L40S 48GB
5
Providers Tracked
Major cloud platforms
10+
GPU Types
B200, H200, H100, MI300X, TPU...
| Provider | GPU ↑ | Instance ↑ | VRAM | On-Demand $/hr ↑ | Spot $/hr | 1Y Reserved $/hr | Best For |
|---|---|---|---|---|---|---|---|
| CoreWeave | L40S 48GB | l40s-48gb | 48 GB | $1.50 | N/A | N/A | Per-GPU L40S pricing |
| CoreWeave | A100 80GB | a100-sxm-80gb | 80 GB | $2.21 | N/A | N/A | Per-GPU A100 pricing |
| CoreWeave | MI300X 192GB | mi300x-sxm-192gb | 192 GB | $4.10 | N/A | N/A | Per-GPU MI300X pricing |
| CoreWeave | H100 80GB | h100-sxm-80gb | 80 GB | $4.76 | N/A | N/A | Per-GPU H100 pricing |
| GCP | TPU v5e | ct5e-minitpu-8t | 128 GB HBM | $4.80 | N/A | $3.02 | Cost-effective JAX Inference |
| CoreWeave | H200 141GB | h200-sxm-141gb | 141 GB | $5.20 | N/A | N/A | Per-GPU H200 pricing |
| CoreWeave | B200 192GB | b200-sxm-192gb | 192 GB | $6.50 | N/A | N/A | Per-GPU B200 pricing |
| CoreWeave | B300 288GB | b300-sxm-288gb | 288 GB | $8.50 | N/A | N/A | Per-GPU B300 pricing |
| Lambda | L40S 48GB | gpu_8x_l40s | 384 GB (8×48) | $12.00 | N/A | N/A | Cost-Effective Inference & Rendering |
| GCP | TPU v6e | ct6e-standard-8t | 256 GB HBM | $12.50 | N/A | $7.88 | Cost-Efficient JAX Training & Inference |
| GCP | TPU v4 | ct4p-lowtpu-4t | 128 GB HBM | $12.80 | N/A | $7.68 | JAX Training |
| Lambda | A100 80GB | gpu_8x_a100_80gb_sxm4 | 640 GB (8×80) | $14.32 | N/A | N/A | Training (best value A100) |
| AWS | L40S 48GB | g7.48xlarge | 384 GB (8×48) | $16.00 | $5.5066% off | $10.00 | Enterprise Inference & Video |
| GCP | TPU v5p | ct5p-hightpu-4t | 384 GB HBM | $21.10 | N/A | $13.29 | JAX/TPU-native training |
| Lambda | MI300X 192GB | gpu_8x_mi300x | 1536 GB (8×192) | $24.50 | N/A | N/A | High-VRAM Training |
| Lambda | H100 80GB | gpu_8x_h100_sxm5 | 640 GB (8×80) | $27.60 | N/A | N/A | Training (best value H100) |
| GCP | TPU v7 | ct7p-hightpu-4t | 384 GB HBM3e | $28.50 | N/A | $18.50 | Next-Gen JAX/TPU Frontier Training |
| Lambda | H200 141GB | gpu_8x_h200_sxm5 | 1128 GB (8×141) | $30.00 | N/A | N/A | LLM Inference (best value) |
| Azure | A100 80GB | ND96amsr_A100_v4 | 640 GB (8×80) | $32.77 | $9.8370% off | $20.43 | Training & fine-tuning |
| Azure | MI250X 128GB | NDm_MI250X_v4 | 512 GB (4×128) | $36.00 | $10.8070% off | $22.00 | HPC & Scientific Computing |
| GCP | A100 80GB | a2-ultragpu-8g | 640 GB (8×80) | $40.22 | $12.0770% off | $25.34 | Training & fine-tuning |
| Azure | MI300A 128GB | ND_MI300A_v5 | 512 GB (4×128) | $45.00 | $13.5070% off | $28.00 | Unified Memory HPC |
| Lambda | B300 288GB | gpu_8x_b300_sxm | 2304 GB (8×288) | $52.00 | N/A | N/A | Cheapest B300 (per-node) |
| Azure | MI300X 192GB | ND_MI300X_v5 | 1536 GB (8×192) | $92.50 | $27.7570% off | $58.10 | High-memory LLM training |
| Azure | MI325X 288GB | ND_MI325X_v5 | 2304 GB (8×288) | $98.00 | $29.4070% off | $62.00 | Extreme VRAM LLM Training |
| AWS | H100 80GB | p5.48xlarge | 640 GB (8×80) | $98.32 | $35.5064% off | $62.12 | Large-scale training |
| Azure | H100 80GB | ND96isr_H100_v5 | 640 GB (8×80) | $98.32 | $29.5070% off | $60.96 | Large-scale training |
| GCP | H100 80GB | a3-highgpu-8g | 640 GB (8×80) | $98.35 | $29.5170% off | $61.64 | Large-scale training |
| AWS | H200 141GB | p5e.48xlarge | 1128 GB (8×141) | $104.00 | $38.0063% off | $68.00 | Optimized LLM Inference |
| GCP | H200 141GB | a3-megagpu-8g | 1128 GB (8×141) | $105.00 | $31.0070% off | $68.00 | Optimized LLM Inference |
| Azure | MI355X 288GB | ND_MI355X_v6 | 2304 GB (8×288) | $108.00 | $32.4070% off | $70.00 | CDNA 4 Frontier Training |
| GCP | B200 192GB | a4-highgpu-8g | 1536 GB (8×192) | $110.00 | $33.0070% off | $72.00 | Next-Gen Frontier Training |
| Azure | B200 192GB | ND_B200_v6 | 1536 GB (8×192) | $112.00 | $33.6070% off | $73.00 | Next-Gen Frontier Training |
| AWS | B200 192GB | p6.48xlarge | 1536 GB (8×192) | $115.00 | $42.0063% off | $75.00 | Next-Gen Frontier Training |
| GCP | B300 288GB | a5-ultragpu-8g | 2304 GB (8×288) | $142.00 | $42.6070% off | $92.00 | Frontier Model Training (Blackwell Ultra) |
| Azure | B300 288GB | ND_B300_v7 | 2304 GB (8×288) | $145.00 | $43.5070% off | $94.00 | Frontier Model Training (Blackwell Ultra) |
| AWS | B300 288GB | p7.48xlarge | 2304 GB (8×288) | $148.00 | $52.0065% off | $96.00 | Frontier Model Training (Blackwell Ultra) |
Use Spot for Training
Save 60-70% on training runs with checkpointing. GCP Spot offers up to 70% discount on A100/H100 instances.
Best for: Fault-tolerant training with checkpoints
Reserved for Inference
1-year commitments save 35-40% for always-on inference endpoints. Azure and AWS offer the deepest reserved discounts.
Best for: Production inference workloads
Lambda/CoreWeave for Value
GPU cloud specialists offer 2-4x lower per-GPU pricing than hyperscalers, ideal for teams that don't need full cloud ecosystems.
Best for: Pure GPU compute without cloud services
Prices are approximate and vary by region and availability. Pricing reflects Q1 2026 estimates — always verify with provider pricing pages before procurement.
Data Center TCO Calculator
Model hardware, power, cooling, networking, and staffing costs across your GPU cluster deployment.
Hardware (CapEx)
Operations (OpEx)
Financial Targets
Hopper H200 SXM
32 GPUs × 700W = 22.4KW cluster
$/TFLOPS
$43
Payback
68.5 mo
Total Pwr / Yr
255 MWh
Instinct MI300X
32 GPUs × 750W = 24.0KW cluster
$/TFLOPS
$54
Payback
43.9 mo
Total Pwr / Yr
273 MWh
Over 3 years with 32 GPUs across 4 nodes, AMD Instinct MI300X saves you $474.5K with 41.8K aggregate TFLOPS
Get Your Detailed TCO Report
Comprehensive PDF comparing NVIDIA Hopper H200 SXM vs AMD Instinct MI300X with extended cost projections, break-even analysis, and procurement recommendations.
- ✓5-year cost projection with sensitivity analysis
- ✓Power consumption and cooling cost breakdown
- ✓Executive summary with procurement recommendations
- ✓Vendor comparison and volume pricing insights
What GPU Do You Need?
Answer 5 quick questions and get a personalized accelerator recommendation for your workload.
Step 1 of 5
What is your primary workload?
This determines compute and memory requirements
Purchase Data Center GPUs
Direct links to buy or lease NVIDIA, AMD, and Google TPU accelerators from authorized resellers and cloud providers.
Google TPU v5p / v7
Prefer Cloud? Rent GPU Compute Instead
Prices are estimated street prices and may vary by configuration, quantity, and region. GPUAdvisor links to authorized resellers and cloud providers — we do not sell hardware directly. Always confirm pricing and availability with the vendor before purchasing.
GPU & Accelerator Timeline
Track upcoming releases, architecture announcements, and product launches from NVIDIA, AMD, Google, and Intel.
Dates for unannounced products are estimates based on industry analysis. Subject to change.
Common Questions
Answers to the questions we hear most from infrastructure leaders, engineers, and procurement teams.
Talk to a GPU Architect
Personalized guidance on GPU selection, infrastructure planning, and procurement strategy.
Get Started — Discovery
We respond within 1 business day.
AI Infrastructure
Investment Report 2026
The definitive 24-page intelligence report for evaluating, procuring, and deploying AI accelerator infrastructure at scale.
- ✓17 DC GPUs compared: NVIDIA B300, B200, H200 vs AMD MI355X, MI350X, MI325X vs Google TPU v7 Ironwood
- ✓Efficiency & inference metrics: tokens/sec, perf/watt, perf/dollar rankings
- ✓6 CTO use cases with GPU recommendations by workload type
- ✓3-year TCO analysis, cloud vs on-premise break-even, 8 cloud providers compared
- ✓Infrastructure guide: cooling, networking, procurement lead times & risk factors
24 Pages · PDF · Updated March 2026
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