Rent NVIDIA B300 SXM6 AC GPU
Launch NVIDIA B300 SXM6 AC cloud capacity with 288GB VRAM for large-model training and high-throughput inference. Lumino provides per-second billing, SSH access, a browser terminal, and public Docker image support.
Standout: Blackwell-generation silicon: the newest architecture in this catalog for new-model serving efficiency.
Availability: NVIDIA B300 SXM6 AC is part of the Lumino rental catalog; check current stock or create an Auto-rent request in the marketplace.
Check current B300 stock and pricing or create an Auto-rent request
NVIDIA B300 SXM6 AC specifications and rental details
| Hourly price | Check current marketplace pricing |
|---|---|
| GPU memory | 288GB VRAM |
| Architecture | Blackwell |
| Fleet class | Datacenter Serving & Inference |
| Memory bandwidth | 8000 GB/s |
| FP16 performance | Up to 10000 TFLOPS |
| Access | SSH, browser terminal, and Docker image support |
Compare NVIDIA B300 SXM6 AC with nearby options
| GPU | VRAM | Architecture | Live status |
|---|---|---|---|
| NVIDIA B200 | 180GB | Blackwell | Supported by Lumino; check current B200 stock and pricing |
| NVIDIA H100 80GB HBM3 | 80GB | Hopper | Supported by Lumino; check current H100 stock and pricing |
| AMD Instinct MI350 OAM | 294GB | CDNA 4 | Supported by Lumino; check current MI350 OAM stock and pricing |
Where NVIDIA B300 SXM6 AC bottlenecks
Blackwell wins come from NVFP4 and memory efficiency on newer models; older FP16 pipelines may show a smaller gap than the spec sheet suggests. Memory bandwidth on record is 8,000 GB/s.
Is NVIDIA B300 SXM6 AC the right GPU for your workload?
288GB VRAM targets large-model training, high-throughput inference, long-context serving, and memory-heavy scientific workloads. This card ships HBM3e.
Choose this datacenter-class accelerator for model serving, training, fine-tuning, scientific compute, or sustained production workloads where accelerator memory and platform features matter.
Blackwell is the newest architecture in this catalog, with fourth-generation Tensor Cores and NVFP4 support that compress new-model serving into 288GB more efficiently than prior generations.
Typical workloads: Large-model training and high-throughput inference.
What fits in 288GB of VRAM: New-generation memory for efficient serving
- 70B-class models: Full-precision 70B inference and LoRA fine-tuning fit comfortably in 288GB with room for context and batch size.
- Long context serving: Large KV-cache headroom supports longer contexts and higher concurrency for vLLM and TGI deployments.
- Full training runs: Multi-GPU training, large-batch experiments, and from-scratch runs target this memory class.
- On this card: On this card: HBM3e memory, launched 2025, 8,000 GB/s bandwidth.
How to rent NVIDIA B300 SXM6 AC
- Open the filtered marketplace result and confirm current stock and price.
- Select storage and a public Docker image for the workload.
- Start the rental, then connect over SSH or the browser terminal.
- Stop or terminate the pod when the job finishes and review any persistent-storage charge.
For serverless inference, compare Lumino hosted model APIs and review the developer documentation.
NVIDIA B300 SXM6 AC rental FAQ
Can I rent NVIDIA B300 SXM6 AC on Lumino AI?
Yes, Lumino AI maintains an explicit catalog entry for this GPU. NVIDIA B300 SXM6 AC is part of the Lumino rental catalog; check current stock or create an Auto-rent request in the marketplace.
What is NVIDIA B300 SXM6 AC best used for?
Large-model training and high-throughput inference. Actual fit depends on model precision, batch size, context length, framework overhead, and concurrent users.
How much does NVIDIA B300 SXM6 AC rental cost in India?
The hourly rate is listed live in the marketplace with per-second INR billing. Total job cost is rate times runtime plus any persistent storage.
What fits in 288GB of VRAM?
288GB VRAM targets large-model training, high-throughput inference, long-context serving, and memory-heavy scientific workloads. This card ships HBM3e. Keep 20-30 percent headroom above the raw model weights for context and batch size.
NVIDIA B300 SXM6 AC vs NVIDIA B200?
The NVIDIA B200 is the closest rentable alternative by category and memory. Pick by VRAM fit first, then hourly rate.
What is new in Blackwell on NVIDIA B300 SXM6 AC?
Blackwell adds fourth-generation Tensor Cores with NVFP4 support, aimed at serving newer models with less memory per token than prior generations.
Should I pick Blackwell over Hopper?
For newer models with NVFP4 support, Blackwell serves more tokens per GB of memory. For mature FP8 pipelines already tuned on Hopper, measure before switching.
Does the rental include SSH and Docker?
Yes. Lumino supports SSH, a browser terminal, and public Docker images for supported CUDA workloads.