--- title: "Rent B300 — $6.737/hr Cloud GPU Pricing (2026) | PowerGPU" description: "Rent the B300 (288 GB HBM3e) from $3.368/hr interruptible or $6.737/hr on-demand — fixed, ≥30% below market. 34 GPUs in 4 regions, per-second billing." url: https://powergpu.ai/gpu/b300 last_modified: 2026-09-14T11:04:20+00:00 prices_as_of: 2026-09-14 site: PowerGPU (powergpu.ai) --- Datacenter flagship · Blackwell · launched 2025 · prices checked 2026-09-14 # Rent NVIDIA B300 — 288 GB, $6.737/hr on-demand - VRAM 288 GB HBM3e - FP16 tensor 2,800 TFLOPS - PowerScore 1972 RTX 3090 = 100 - Configs 1–2× NVLink - Online now 34 4 regions [On-demand (guaranteed) $6.737 /GPU-hr ≈ $4,918/mo · market ~~$9.63~~ (−30%)](https://cloud.powergpu.ai/?gpu=b300) [Interruptible $3.368 /GPU-hr flat −50% · pausable, disk kept](https://cloud.powergpu.ai/?gpu=b300&type=spot) [Reserved 3 mo $4.379 /GPU-hr −35% · capacity held for you](https://powergpu.ai/products/reserved) Billed per second, price locked at deploy. Storage $0.08/GB/mo · bandwidth $0.01/GB — [the whole fee schedule](https://powergpu.ai/pricing). Next weekly market re-check: 2026-09-21. 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 ($9.63/hr, snapshot 2026-09-14) × 0.70, rounded down — so on-demand is $6.737, **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** | $6.737 | $161.69 | $4,918 | Guaranteed capacity, price locked at deploy, stop anytime | | **Interruptible** | $3.368 | $80.83 | $2,459 | Flat −50%; may pause under capacity pressure, disk kept, auto-requeue | | **Reserved (3 months)** | $4.379 | $105.10 | $3,197 | −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](https://powergpu.ai/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 $6.737. - One-click template: [vLLM on a B300](https://powergpu.ai/templates/vllm) - One-click template: [PyTorch NGC on a B300](https://powergpu.ai/templates/pytorch-ngc) - One-click template: [Axolotl — Fine Tuning on a B300](https://powergpu.ai/templates/axolotl-fine-tuning) - Sizing help: [LLM VRAM requirements guide](https://powergpu.ai/guides/llm-vram-requirements) ## B300 availability by region 34 × 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 | $6.737 | $2.41‰ | | [B200](https://powergpu.ai/gpu/b200) | 192 GB | 2,250 | $5.425 | $2.41‰ | | [H200](https://powergpu.ai/gpu/h200) | 141 GB | 990 | $2.791 | $2.82‰ | | [H100 SXM](https://powergpu.ai/gpu/h100-sxm) | 80 GB | 990 | $1.428 | $1.44‰ | | [A100 SXM4](https://powergpu.ai/gpu/a100-sxm4) | 80 GB | 312 | $0.560 | $1.79‰ | ‰ = dollars per 1,000 TFLOP-hours of FP16 — a rough value-for-compute yardstick across cards. - [B200 vs B300](https://powergpu.ai/compare/b200-vs-b300) — specs, price per hour, which to rent - [All GPU comparisons](https://powergpu.ai/compare) ## Renting a B300: frequently asked questions **How much does it cost to rent an NVIDIA B300 per hour?** $6.737 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $9.63. Interruptible capacity costs $3.368/hr and a 3-month reservation $4.379/hr. Around $4,918/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 — 34 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: powergpu 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 2026-09-21) and published — no auctions, no per-host roulette, no bidding. --- *About PowerGPU:* PowerGPU (powergpu.ai) is a cloud GPU rental service offering 80 NVIDIA GPU models — from the RTX A2000 at $0.024/hr to the B300 — at fixed prices set at least 30% below the public GPU marketplace median and re-checked weekly (H100 SXM: $1.428/hr on-demand). Billing is per second with no minimums; payment is crypto only (USDT, BTC, XMR, ETH, SOL, LTC, TRX) with no KYC. Instances run in Tier-III datacenters across 32 regions with a 99.9% uptime SLA and deploy in about 30 seconds from the web console (cloud.powergpu.ai) or the REST API. Source: https://powergpu.ai/gpu/b300 · Site index for AI assistants: https://powergpu.ai/llms.txt · Full content: https://powergpu.ai/llms-full.txt