Datacenter flagship · Blackwell · launched 2025 · prices checked 2026-10-19
Rent NVIDIA B300 — 288 GB, $6.944/hr on-demand
- VRAM 288 GBHBM3e
- FP16 tensor 2,800TFLOPS
- PowerScore 1972RTX 3090 = 100
- Configs 1–2×NVLink
- Online now 18 4 regions
Billed per second, price locked at deploy. Storage $0.08/GB/mo · bandwidth $0.01/GB — the whole fee schedule. Next weekly market re-check: 2026-10-26.
Datacenter flagship · Blackwell architecture
The B300 is Blackwell Ultra: 288 GB of HBM3e per GPU and the highest FP4 inference throughput NVIDIA ships. Teams rent it for frontier-scale serving and for training runs where even a 192 GB shard is too small. Supply is thin everywhere; here it is priced by the same public rule as an RTX 3060.
This is training-grade silicon: HBM3e memory feeding tensor cores at multi-TB/s, NVLink for scaling past one card, and the reliability profile of Tier-III datacenter hosts. Teams rent it for pre-training, long fine-tunes and high-throughput inference where batch size is money.
NVIDIA B300 specs: VRAM, TFLOPS, bandwidth
| GPU model | NVIDIA B300 | Architecture | Blackwell (2025) |
|---|---|---|---|
| VRAM | 288 GB HBM3e | Memory bandwidth | 8,000 GB/s |
| FP16 tensor perf. | 2,800 TFLOPS | FP32 perf. | — |
| CUDA cores | — | TDP | 1100 W |
| PowerScore (RTX 3090 = 100) | 1972 | PCIe generation | Gen 5.0 |
| Multi-GPU | 1× – 2× · NVLink | Max instance storage | 16,000 GB NVMe |
| Network up to | 10,000 Mbps | CUDA | 12.4 – 13.0 |
Bandwidth, CUDA cores, TDP and FP32 are public NVIDIA figures; FP16 tensor is the dense (non-sparsity) number. Machine-level values come from live inventory.
B300 price per hour: on-demand, interruptible, reserved
One public rule sets every price on this page: the marketplace median for the B300 ($9.92/hr, snapshot 2026-10-19) × 0.70, rounded down — so on-demand is $6.944, 30% below market. Interruptible halves it; a 3-month reservation takes another 35% off.
| Mode | Per GPU-hour | Per day (24 h) | Per month (730 h) | What you get |
|---|---|---|---|---|
| On-demand | $6.944 | $166.66 | $5,069 | Guaranteed capacity, price locked at deploy, stop anytime |
| Interruptible | $3.472 | $83.33 | $2,535 | Flat −50%; may pause under capacity pressure, disk kept, auto-requeue |
| Reserved (3 months) | $4.513 | $108.31 | $3,294 | −35% on on-demand, rate locked for the term, capacity held |
Per GPU: an 2× machine costs exactly 2× — no multi-GPU premium. Estimate a full month with storage and bandwidth in the GPU cost calculator.
What you can run on a B300 (288 GB VRAM)
With 288 GB of HBM3e, a single card holds a ~105B-parameter LLM in FP16 or up to ~405B parameters quantized to 4-bit, with room for KV-cache at practical context lengths. Scale to 2× GPUs on one machine with NVLink for bigger models or bigger batches — the per-GPU price stays $6.944.
- One-click template: vLLM on a B300
- One-click template: PyTorch NGC on a B300
- One-click template: Axolotl — Fine Tuning on a B300
- Sizing help: LLM VRAM requirements guide
B300 availability by region
18 × B300 across 4 machines, live from inventory:
Seattle, WA
Frankfurt
Montréal
Tokyo
B300 vs alternatives: price per TFLOP
| GPU | VRAM | FP16 | On-demand | $ / TFLOP-hr |
|---|---|---|---|---|
| B300 this card | 288 GB | 2,800 | $6.944 | $2.48‰ |
| B200 | 192 GB | 2,250 | $6.475 | $2.88‰ |
| H200 | 141 GB | 990 | $3.131 | $3.16‰ |
| H100 SXM | 80 GB | 990 | $1.680 | $1.70‰ |
| A100 SXM4 | 80 GB | 312 | $0.468 | $1.50‰ |
‰ = dollars per 1,000 TFLOP-hours of FP16 — a rough value-for-compute yardstick across cards.
- B200 vs B300 — specs, price per hour, which to rent
- All GPU comparisons
Renting a B300: frequently asked questions
How much does it cost to rent an NVIDIA B300 per hour?
$6.944 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $9.92. Interruptible capacity costs $3.472/hr and a 3-month reservation $4.513/hr. Around $5,069/month if you keep one running non-stop, billed per second.
What can a B300 with 288 GB VRAM run?
In LLM terms, roughly a 105B-parameter model in FP16 or up to ~405B parameters 4-bit quantized on a single card, with context headroom. Multi-GPU instances (up to 2× on current inventory) multiply that; diffusion and rendering workloads fit comfortably at this VRAM class.
Is the B300 available to rent right now?
Yes — 18 GPUs across 4 machines in 4 regions are listed as we render this page. Configurations go from 1× to 2× with NVLink on multi-GPU chassis. Deploy from the console and it is running in about 30 seconds.
How do I deploy a B300?
Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by B300, pick a machine and a template such as PyTorch, vLLM or ComfyUI. The same deploy is one command with the CLI: lowcostgpu launch --gpu b300 --template pytorch.
Why is the B300 cheaper here than on GPU marketplaces?
We price from the public marketplace median and fix our on-demand rate at least 30% below it, rounded down. The price is re-checked weekly (next check 2026-10-26) and published — no auctions, no per-host roulette, no bidding.