NVIDIA B200 GPU Cloud
Reserve NVIDIA Blackwell B200 capacity on VESSL Cloud — 192GB HBM3e, 8 TB/s bandwidth, and FP4 acceleration for frontier-scale training and real-time inference.
- GPU memory
- 192GB HBM3e
- Memory bandwidth
- 8 TB/s
Technical specifications
- Architecture
- Blackwell
- GPU memory
- 192GB HBM3e
- Memory bandwidth
- 8 TB/s
- NVLink
- 1.8 TB/s
- FP8 (Tensor)
- 9 PFLOPS
- FP4 (Tensor)
- 18 PFLOPS
- Max TDP
- 1,000W
- GPUs per node
- 8 (HGX B200)
*Peak performance with sparsity, per NVIDIA official specs. Final specs may vary by node configuration.
Pricing & availability
What's the B200 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.
High-throughput inference
192GB HBM3e and FP4 acceleration serve large models at high concurrency, with lower cost-per-token than Hopper for big deployments.
Multi-modal & generative video
Memory- and compute-heavy workloads — text-to-video, 3D generation, large multi-modal training — fit on a single HGX B200 node.
Compare NVIDIA data-center GPUs
| H100 Hopper | H200 Hopper | B200 You're viewing | B300 Blackwell | |
|---|---|---|---|---|
| Architecture | Hopper | Hopper | Blackwell | Blackwell |
| GPU memory | 80GB HBM3 | 141GB HBM3e | 192GB HBM3e | up to 288GB HBM3e |
| Memory bandwidth | 3.35 TB/s | 4.8 TB/s | 8 TB/s | 8 TB/s |
| FP8 (Tensor) | 3,958 TFLOPS | 3,958 TFLOPS | 9 PFLOPS | 10 PFLOPS |
| Access | from $2.39/hr | Available on request | Available on request | Available on request |
| Best for | Cost-efficient training & inference | Long-context & large-model inference | Frontier-scale training (FP4) | Largest models & reasoning inference |
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 GPUs?
Blackwell capacity is allocated on request. Talk to our team and we'll secure B200 capacity matched to your timeline.
How much memory does the B200 have?
The B200 offers 192GB HBM3e per GPU at up to 8 TB/s memory bandwidth and 1.8 TB/s NVLink — roughly 2.4× the H100's memory and over 2× the bandwidth.
What's the difference between the B200 and B300?
The B300 (Blackwell Ultra) increases memory to up to 288GB HBM3e (vs 192GB on the B200) and adds roughly 1.5× FP4 compute — built for the largest models and high-concurrency reasoning.
How does the B200 compare to the H200?
The B200 is a generation ahead: Blackwell architecture, FP4 acceleration, 192GB HBM3e, and 8 TB/s bandwidth vs the Hopper H200's 141GB at 4.8 TB/s. Choose B200 for frontier-scale training and the lowest cost-per-token at scale.
Can I reserve a full B200 cluster?
Yes. We provision HGX B200 nodes (8 GPUs each) with high-speed InfiniBand, scaling from a single node to large multi-node clusters.
Explore other GPUs
Different workload? Pick the GPU that fits your memory, throughput, and budget.
Blackwell Ultra with up to 288GB HBM3e — for the largest models and high-concurrency reasoning inference.
View detailsSame Hopper compute as the H100 with 141GB HBM3e — for long-context LLMs and larger models without sharding.
View detailsThe proven Hopper workhorse — best price/performance for training, fine-tuning, and inference. From $2.39/hr.
View detailsStop chasing GPUs.
Start shipping AI.
Unified access to GPU capacity across providers. One platform, transparent pricing.
- Start in minutes
- Scale to multi-node clusters
- High availability built-in
- 24/7 support available