NVIDIA B300 hosted cloud pricing breakdown — how does billing work?
Jawaban
For a NVIDIA B300 hosted instance, plan around per hour as the entry point — that is currently the budget-friendly on-demand rate, available from . If your model training pipeline is checkpointable, spot pricing pulls the bill down to per hour on (~up to 60% discount vs. on-demand).
A full month of continuous NVIDIA B300 time at on-demand rates lands in the low-to-mid three figures in USD, which is why sustained production workloads often move to reserved contracts offering roughly up to 40% off. Serverless and per-second billing on supporting providers let you avoid the cost of idle GPU time altogether.
See the NVIDIA B300 page for the full spec sheet and current provider list.
Lebih Banyak FAQ tentang NVIDIA B300
Ulasan Penyedia GPU DigitalOcean & Fakta Utama (April 2026)
Cuplikan DigitalOcean: pendanaan maksimum, pembagian keuntungan, aturan drawdown, leverage, instrumen, jadwal pembayaran, metode pembayaran, izin perdagangan, dan KYC. Data diverifikasi April 2026.
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DigitalOcean
GPU cloud yang sederhana dan dapat diskalakan untuk AI/ML
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| Ikhtisar | |
| Peringkat Trustpilot | 4.6 |
| Kantor Pusat | United States |
| Jenis Penyedia | Tidak tersedia |
| Terbaik Untuk | Pelatihan AI inferensi penyetelan halus penyebaran LLM penyajian LLM visi komputer startup AI generatif riset |
| Perangkat Keras GPU | |
| Model GPU | RTX 4000 Ada RTX 6000 Ada L40S MI300X H100 SXM H200 |
| Maks VRAM (GB) | 192 |
| Maks GPU/Instance | 8 |
| Interkoneksi | NVLink |
| Harga | |
| Harga Mulai ($/jam) | $0.76/hr |
| Granularitas Penagihan | Per detik |
| Spot/Preemptible | Tidak |
| Diskon Cadangan | Tidak tersedia |
| Kredit Gratis | Kredit gratis $200 selama 60 hari |
| Biaya Keluar | Tidak ada (termasuk dalam paket) |
| Penyimpanan | Boot NVMe 500-720 GiB (termasuk), scratch NVMe 5 TiB pada konfigurasi lebih besar, Volume dengan biaya $0,10/GiB/bulan |
| Infrastruktur | |
| Wilayah | New York (NYC2), Toronto (TOR1), Atlanta (ATL1), Richmond (RIC1), Amsterdam (AMS3) |
| SLA Waktu Aktif | 99% |
| Pengalaman Pengembang | |
| Kerangka Kerja | PyTorch TensorFlow Jupyter Miniconda CUDA ROCm Hugging Face |
| Dukungan Docker | Ya |
| Akses SSH | Ya |
| Jupyter Notebooks | Ya |
| API / CLI | Ya |
| Waktu Setup | Menit |
| Dukungan Kubernetes | Ya |
| Ketentuan Bisnis | |
| Komitmen Minimum | Tidak ada |
| Kepatuhan | SOC 2 Tipe II SOC 3 HIPAA (dengan BAA) CSA STAR Level 1 |
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