NVIDIA B300
Built for reasoning models and trillion-parameter scale
- GPU memory
- 288 GB HBM3e
- Memory bandwidth
- 8 TB/s
Next generation: Blackwell
NVIDIA B200 Rental
The new standard for training and inference
Blackwell architecture with 180 GB of HBM3e per GPU, 8 TB/s of memory bandwidth and FP4/FP8 support. HGX B200 servers for LLM training and inference at scale.
- GPU memory
- 180 GB HBM3e
- Memory bandwidth
- 8 TB/s
- Interconnect
- NVLink 5 · 1.8 TB/s
- Headline performance
- FP8: 9 PFLOPS (with sparsity)
Why B200?
B200 is the data center GPU of the Blackwell architecture, the successor to Hopper. Its second-generation Transformer Engine and FP4 support let you run the same model on fewer GPUs, faster.
With 180 GB of HBM3e per GPU, the BF16 weights of a 70B-parameter model fit on a single GPU. In an 8-GPU HGX B200 server, GPUs are connected with 1.8 TB/s NVLink 5.
Ideal for
- Large language model pre-training
- Fine-tuning 70B+ parameter models
- Cost-efficient inference with FP4/FP8
- Mixture-of-Experts (MoE) models
When you rent with CWCHost
- Dedicated, single-tenant server
- Delivered with drivers, CUDA and Docker installed
- Full administrator access via SSH
- Engineering support for setup and tuning
- Flexible terms from monthly to yearly
- Enterprise contracts and invoicing
Other GPU options
NVIDIA H200
H100 compute with 76% more memory
- GPU memory
- 141 GB HBM3e
- Memory bandwidth
- 4.8 TB/s
NVIDIA H100
The industry standard for AI infrastructure
- GPU memory
- 80 GB HBM3
- Memory bandwidth
- 3.35 TB/s
Let's plan the right GPU infrastructure for your project
Fill in the form and our team will review your needs and get back to you with a tailored quote.