NVIDIA B200 vs B300
Compare NVIDIA Blackwell B200 and B300 (Blackwell Ultra) side by side — memory, FP4 throughput, and reserved capacity.
- GPU memory
- 192GB HBM3e
- Memory bandwidth
- 8 TB/s
- GPU memory
- up to 288GB HBM3e
- Memory bandwidth
- 8 TB/s
Technical specifications
B200 NVIDIA B200 | B300 NVIDIA B300 | |
|---|---|---|
| Architecture | Blackwell | Blackwell |
| GPU memory | 192GB HBM3e | up to 288GB HBM3e |
| Memory bandwidth | 8 TB/s | 8 TB/s |
| NVLink | 1.8 TB/s | 1.8 TB/s |
| FP8 (Tensor) | 9 PFLOPS | 10 PFLOPS |
| FP4 (Tensor) | 18 PFLOPS | 20 PFLOPS |
| Max TDP | 1,000W | 1,400W |
| GPUs per node | 8 (HGX B200) | 8 (HGX B300) |
*Peak performance with sparsity, per NVIDIA official specs. Final specs may vary by node configuration.
Pricing & availability
What's Blackwell best for?
Frontier-scale pretraining
FP4 and FP8 throughput plus 1.8 TB/s NVLink make trillion-parameter model pretraining practical in a single Blackwell cluster.
Long-context & reasoning inference
B300 (Blackwell Ultra)'s 288GB HBM3e holds massive KV caches; FP4 acceleration serves agentic and reasoning workloads at high concurrency.
Generative video & multi-modal
Memory- and compute-heavy workloads — text-to-video, 3D generation, large multi-modal training — fit on a single HGX Blackwell node.
Why industry-leading teams run GPUs on VESSL Cloud
No waitlists
Access capacity across clouds through one platform — skip quotas and procurement.
Scale to multi-node
Spin up a single GPU or scale to large multi-node clusters over high-speed InfiniBand — as much as you need.
Transparent pricing
Spot, on-demand, and reserved options with pay-as-you-go billing.
Enterprise-ready
SOC 2 Type II compliance, with dedicated support for production AI.
Frequently asked questions
How do I get access to NVIDIA B200 and B300 GPUs?
Blackwell capacity is allocated on request. Talk to our team and we'll secure B200 or B300 (Blackwell Ultra) capacity matched to your timeline.
What's the difference between the B200 and B300?
The B300 (Blackwell Ultra) increases memory to 288GB HBM3e (vs 192GB on the B200) and adds roughly 1.5× FP4 compute — built for the largest models and high-concurrency inference.
How much memory do Blackwell GPUs have?
The B200 offers 192GB HBM3e per GPU at up to 8 TB/s memory bandwidth and 1.8 TB/s NVLink. HGX B300 (Blackwell Ultra) scales to 288GB HBM3e — talk to our team for current node configurations and availability.
Can I reserve a full Blackwell cluster?
Yes. We provision HGX B200/B300 nodes (8 GPUs each) with high-speed InfiniBand, scaling from a single node to large multi-node clusters.
Is Blackwell better for training or inference?
Both. FP4/FP8 acceleration and large HBM3e capacity make Blackwell ideal for frontier-scale training and high-throughput, low-latency inference.
Stop chasing GPUs.
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