NVIDIA B300 recommended workloads
Jawapan
NVIDIA B300 was designed for Frontier AI training, largest model workloads. In cloud deployments that translates to: AI model training at research-to-production scale, fine-tuning transformers, running batch serving pipelines, and accelerating diffusion/vision workloads.
It sits in the middle of the AI accelerator market — more capable than consumer cards, more affordable than frontier accelerators. For most teams, that's exactly the right tier: enough performance for real work, enough savings to run multiple experiments in parallel. Cloud access from per hour via .
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)
Gambaran ringkas DigitalOcean: pembiayaan maksimum, pembahagian keuntungan, peraturan penurunan nilai, leverage, instrumen, jadual pembayaran, kaedah pembayaran, kebenaran dagangan dan KYC. Data disahkan April 2026.
|
DigitalOcean
Awan GPU mudah dan boleh diskala untuk AI/ML
|
|
|---|---|
| Gambaran Keseluruhan | |
| Penilaian Trustpilot | 4.6 |
| Ibu Pejabat | United States |
| Jenis Penyedia | Tidak berkenaan |
| Terbaik Untuk | Latihan AI inferens penalaan halus penyebaran LLM perkhidmatan LLM penglihatan komputer permulaan AI generatif penyelidikan |
| Perkakasan GPU | |
| Model GPU | RTX 4000 Ada RTX 6000 Ada L40S MI300X H100 SXM H200 |
| Maksimum VRAM (GB) | 192 |
| Maksimum GPU/Satu Instans | 8 |
| Sambungan | NVLink |
| Harga | |
| Harga Mula ($/jam) | $0.76/hr |
| Ketelitian Pengebilan | Per saat |
| Spot/Preemptible | Tidak |
| Diskaun Terpelihara | Tidak berkenaan |
| Kredit Percuma | Kredit percuma $200 untuk 60 hari |
| Yuran Egress | Tiada (termasuk dalam pelan) |
| Penyimpanan | Boot NVMe 500-720 GiB (termasuk), scratch NVMe 5 TiB pada konfigurasi lebih besar, Volume pada $0.10/GiB/bulan |
| Infrastruktur | |
| Wilayah | New York (NYC2), Toronto (TOR1), Atlanta (ATL1), Richmond (RIC1), Amsterdam (AMS3) |
| SLA Masa Beroperasi | 99% |
| Pengalaman Pembangun | |
| Rangka Kerja | PyTorch TensorFlow Jupyter Miniconda CUDA ROCm Hugging Face |
| Sokongan Docker | Ya |
| Akses SSH | Ya |
| Jupyter Notebooks | Ya |
| API / CLI | Ya |
| Masa Persediaan | Minit |
| Sokongan Kubernetes | Ya |
| Terma Perniagaan | |
| Komitmen Minimum | Tiada |
| Pematuhan | SOC 2 Jenis II SOC 3 HIPAA (dengan BAA) CSA STAR Tahap 1 |
DigitalOcean