Compare
GPU comparison chart
Every GPU we rent, side by side: memory, bandwidth, FP8 and FP4 compute, interconnect, power and monthly price. Then pick a head-to-head comparison for the full analysis.
| GPU | Memory | Bandwidth | FP8 dense | FP4 dense | Interconnect | Power | From |
|---|---|---|---|---|---|---|---|
| B300NVIDIA · Blackwell Ultra | 288 GBHBM3e | 8 TB/s | 4,500 TFLOPS | 13,500 TFLOPS | NVLink 51.8 TB/s | ≈1,100 W | $5,190/mo · 1 GPU |
| B200NVIDIA · Blackwell | 180 GBHBM3e | 8 TB/s | 4,500 TFLOPS | 9,000 TFLOPS | NVLink 51.8 TB/s | ≈1,000 W | $4,590/mo · 1 GPU |
| H200NVIDIA · Hopper | 141 GBHBM3e | 4.8 TB/s | 1,979 TFLOPS | — | NVLink 4900 GB/s | 700 W | $3,090/mo · 1 GPU |
| H100NVIDIA · Hopper | 80 GBHBM3 | 3.35 TB/s | 1,979 TFLOPS | — | NVLink 4900 GB/s | 700 W | $2,190/mo · 1 GPU |
| MI355XAMD · CDNA 4 | 288 GBHBM3E | 8 TB/s | 5,000 TFLOPS | 10,100 TFLOPSMXFP4 | Infinity Fabric | 1,400 W | $19,900/mo · 8 GPUs |
| RTX PRO 6000NVIDIA · Blackwell | 96 GBGDDR7 ECC | 1.6 TB/s | Supported | 4,000 AI TOPS | PCIe Gen5 x16 | 600 W | $1,390/mo · 1 GPU |
| L40SNVIDIA · Ada Lovelace | 48 GBGDDR6 ECC | 864 GB/s | 733 TFLOPS | — | PCIe Gen4 x16 | 350 W | $890/mo · 1 GPU |
| RTX 5090NVIDIA · Blackwell | 32 GBGDDR7 | 1.79 TB/s | Supported | 3,352 AI TOPS | PCIe Gen5 x16 | 575 W | $449/mo · 1 GPU |
| GB300 NVL72NVIDIA · Blackwell Ultra | 288 GBHBM3e | 8 TB/s | 5,000 TFLOPS | 15,000 TFLOPS | NVLink 51.8 TB/s | Rack | $7,990/GPU·mo |
| Vera Rubin NVL72NVIDIA · Rubin | 288 GBHBM4 | 19.2 TB/s | 17,500 TFLOPS | 35,000 TFLOPSNVFP4 | NVLink 6 | Rack | QuoteReservations |
Swipe the table to see every column
Vendor-published figures per GPU; compute is dense math. Rack-scale systems are shown per GPU. Prices in USD per month, excluding VAT.
Head to head
Detailed comparisons
Data center GPUs
- Comparison A100 vs H100: what changed, and why we rent the H100 With the same 80 GB, the H100 adds FP8, 64% more bandwidth, about 3.2 times the vendor-listed dense BF16 compute and faster NVLink, so it is the GPU to rent in 2026, while A100s make sense mainly where you already have them. Read the comparison
- Comparison B200 vs B300: is Blackwell Ultra worth the upgrade? For FP8 and BF16 work that fits in 180 GB, the B200 does the same job for less and is in stock; the B300 earns its 13% premium with 288 GB, faster FP4 and 800G networking, if you can plan around limited stock. Read the comparison
- Comparison H100 vs B200: is the H100 still worth renting in 2026? The B200 is the better value per unit of work when you can keep it busy, but at $2,190 a month the H100 remains the right buy for models that fit in 80 GB and workloads that would leave a B200 half idle. Read the comparison
- Comparison H100 vs H200: same Hopper compute, very different memory If your model and its KV cache fit in 80 GB, the H100 does the same compute for $900 less a month; once they do not, the H200 puts 141 GB on one GPU and becomes the better buy. Read the comparison
- Comparison H200 vs B200: Hopper or Blackwell for your next GPU server? Pick the B200 when you can use its compute, bandwidth and 180 GB; pick the H200, which costs $1,500 less per GPU and less per GB, when your model fits in 141 GB and Hopper keeps up with your traffic. Read the comparison
- Comparison L40S vs H100: which GPU fits your workload and budget? For small and medium models, media and rendering, the L40S does the job at $890 a month; for training, larger models and bandwidth-hungry LLM serving, the H100 is worth its $2,190. Read the comparison
- Comparison MI355X vs B200: memory, software and cost compared If memory is your constraint and your stack runs on ROCm, the MI355X server gives you 2,304 GB of HBM3E for $19,900 a month; if you depend on CUDA-only software or need one GPU, choose the B200. Read the comparison
- Comparison MI355X vs H200: double the memory or the proven stack? If your software runs on ROCm, the MI355X server gives you twice the memory and newer precision formats for $4,000 a month less than an HGX H200; for CUDA-only stacks or a single GPU, choose the H200. Read the comparison
- Comparison RTX PRO 6000 vs H100: more memory or more bandwidth? For single-GPU inference of large quantized models, the RTX PRO 6000 gives you more memory for less money; for multi-GPU training and bandwidth-bound serving, the H100 is the right tool. Read the comparison
Workstation and consumer GPUs
- Comparison RTX 4090 vs RTX 5090: what 8 GB more memory buys you We rent the RTX 5090, not the 4090, and its extra 8 GB, higher bandwidth and FP4 support make it the better AI card; a 4090 you already own still suits jobs that fit in 24 GB. Read the comparison
- Comparison RTX 5090 vs RTX PRO 6000: when is 32 GB enough? If your work fits in 32 GB, the RTX 5090 at $449 a month is the clear value; once you need more memory, ECC or MIG, the RTX PRO 6000 is worth its $1,390. Read the comparison
- Comparison RTX PRO 6000 vs L40S: is 96 GB worth the step up? Pay the extra $500 a month for the RTX PRO 6000 when your work needs more than 48 GB or FP4; if it fits in 48 GB, the L40S at $890 is the better buy. Read the comparison
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