The right GPU for your workload
Each workload stresses a GPU differently: memory size, memory bandwidth, tensor throughput or ray-tracing cores. Start from what you run, then compare the GPUs that fit at their live price on the spot exchange.
Pick your workload
- 9 GPUs compared
GPUs for training large language models
Pre-training and full fine-tuning on data center GPUs with HBM memory.
- B300
- B200
- MI325X
- +6
- 9 GPUs compared
GPUs for fine-tuning open models
LoRA and QLoRA adapters on a single GPU, from 24 GB up.
- RTX 4090
- RTX 5090
- RTX A6000
- +6
- 9 GPUs compared
GPUs for LLM inference
Serve open models: what fits in memory, and how fast tokens come.
- L4
- RTX 4090
- RTX 5090
- +6
- 8 GPUs compared
GPUs for image and video generation
Diffusion models for images and video, from 24 GB cards to 80 GB GPUs.
- RTX 3090
- RTX 4090
- RTX 5090
- +5
- 8 GPUs compared
GPUs for 3D rendering and visual effects
Ray-traced rendering, visual effects and real-time engines.
- RTX 4090
- RTX 5090
- RTX A6000
- +5
- 9 GPUs compared
GPUs for scientific computing and simulation
Simulation and HPC codes on data center GPUs with HBM memory.
- Tesla V100
- A100 PCIe
- A100 SXM
- +6
Most requested comparisons
- H100 SXM vs A100 SXM
80 GB vs 80 GB
- H200 vs H100 SXM
141 GB vs 80 GB
- B200 vs H100 SXM
180 GB vs 80 GB
- B200 vs H200
180 GB vs 141 GB
- H100 SXM vs H100 PCIe
80 GB vs 80 GB
- A100 SXM vs A100 SXM
80 GB vs 40 GB
Be ready on launch day
Create your account now: you can top up your balance and rent the GPU that fits your workload as soon as the market opens.
Have GPU servers?
Businesses can join the EverXCloud Network and sell hours of their GPU servers on the spot exchange.