NVIDIA Grace Blackwell Ultra

NVIDIA GB300 GPU Cloud

Reserve NVIDIA GB300 NVL72 capacity on VESSL Cloud: 72 Blackwell Ultra GPUs and 36 Grace CPUs per rack, unified by a 130 TB/s NVLink domain for cluster-scale training and high-concurrency reasoning inference.

Reserve capacity

NVIDIA GB300 NVL72

GPU memory: up to 288GB HBM3e
Memory bandwidth: 8 TB/s

Technical specifications

Architecture: Blackwell
GPU memory: up to 288GB HBM3e
Memory bandwidth: 8 TB/s
NVLink: 1.8 TB/s
FP8 (Tensor): 10 PFLOPS
FP4 (Tensor): 20 PFLOPS
Max TDP: 1,400W
GPUs per node: 72 + 36 Grace CPUs (NVL72 rack)

*Peak performance with sparsity, per NVIDIA official specs. Final specs may vary by node configuration.

Pricing & availability

NVIDIA GB300 NVL72Reserved only

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What's the GB300 best for?

Cluster-scale training

A full NVL72 rack behaves like one giant accelerator: roughly 20 TB of HBM3e and a 130 TB/s NVLink domain keep trillion-parameter runs resident without hopping across slower networks.

Rack-scale reasoning inference

The unified NVLink domain spreads massive KV caches across 72 GPUs, sustaining high-concurrency agentic and long-context serving at a lower cost per token.

CPU-heavy AI pipelines

36 Grace CPUs sit on the same NVLink fabric as the GPUs, so data preprocessing and inference-time orchestration feed accelerators without PCIe bottlenecks.

Compare NVIDIA data-center GPUs

	A100 Ampere	H100 Hopper	H200 Hopper	B200 Blackwell	B300 Blackwell	GB300 You're viewing
Architecture	Ampere	Hopper	Hopper	Blackwell	Blackwell	Blackwell
GPU memory	80GB HBM2e	80GB HBM3	141GB HBM3e	192GB HBM3e	up to 288GB HBM3e	up to 288GB HBM3e
Memory bandwidth	2.0 TB/s	3.35 TB/s	4.8 TB/s	8 TB/s	8 TB/s	8 TB/s
FP8 (Tensor)	—	3,958 TFLOPS	3,958 TFLOPS	9 PFLOPS	10 PFLOPS	10 PFLOPS
Access	from $1.39/hr	from $3.19/hr	from $4.29/hr	from $5.79/hr	from $7.29/hr	Reserved only
Best for	Cost-efficient fine-tuning & inference	Cost-efficient training & inference	Long-context & large-model inference	Frontier-scale training (FP4)	Largest models & reasoning inference	Cluster-scale training & inference

Why industry-leading teams run GPUs on VESSL Cloud

Start in minutes

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

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 GB300 GPUs?

GB300 capacity is reserved and allocated on request. Talk to our team to scope an NVL72 configuration and reserve capacity ahead of your schedule.

What is the GB300 NVL72?

A rack-scale system pairing 72 Blackwell Ultra GPUs with 36 Grace CPUs in a single 130 TB/s NVLink domain, so the whole rack behaves like one large accelerator.

What's the difference between the B300 and GB300?

Both use the Blackwell Ultra GPU. The B300 ships as 8-GPU HGX nodes; the GB300 packages 72 GPUs plus 36 Grace CPUs into an NVL72 rack whose 130 TB/s NVLink domain is built for cluster-scale workloads.