Helping millions of developers easily build, test, manage, and scale applications of any size - faster than ever before.
01 / ANALYST READ
Our read
Digitalocean is a direct operator with a broad GPU lineup spanning current-generation NVIDIA capacity. Running its own network, it suits teams moving from experimentation into sustained production - or those that need range across training, inference, and fine-tuning without managing separate provider accounts.
The tradeoff: procurement is configuration-dependent and may require a quote process rather than instant checkout. Best fit for buyers with a clear workload plan.
Confidence: HighEvidence reviewed: 8 checks
02 / OVERVIEW
Company overview
Operator class
Direct operator
Operating entity
DIGITALOCEAN-AS-AP Digital Ocean, Inc.
GPU models tracked
B200, H200, H100 and 5 more
Registered in
US
Services
GPU compute, Managed services, Bare metal
Network footprint
927 prefixes / 3.1M IPv4
03 / CAPACITY
GPU lineup by use case
Tracked GPU SKUs grouped by the workload they fit best.
Training
For multi-node runs where interconnect and cluster availability decide the outcome.
B200
QuoteClaim to publish
VRAM 192 GBClass Blackwell
Best for Frontier-scale training and teams optimizing around the newest platform.
H200
QuoteClaim to publish
VRAM 141 GBClass Hopper
Best for Large-scale training where memory bandwidth decides the outcome.
H100
QuoteClaim to publish
VRAM 80 GBClass SXM
Best for Serious model training where time-to-result outweighs hourly cost.
MI300X
QuoteClaim to publish
VRAM 192 GBClass AMD
Best for Training and inference for teams evaluating the AMD ecosystem.
Inference
For predictable production serving, latency targets, and steady utilisation.
L40S
QuoteClaim to publish
VRAM 48 GBClass Ada
Best for Cost-effective production inference and image generation at scale.
MI250X
QuoteClaim to publish
Best for MI250X workloads.
Fine-tuning
For smaller adaptation jobs, evaluation loops, and budget-controlled development.
RTXA6000
QuoteClaim to publish
VRAM 48 GBClass Ampere
Best for Development and fine-tuning with 48 GB of memory at workstation pricing.
04 / TRUST
Verification
Evidence that there's a real operator behind the offer.
Confirmed
Network ownership
Digitalocean operates its own network — 3.1M IPv4 addresses across 927 prefixes — rather than presenting another hyperscaler's capacity as its own.
Confirmed
Direct operator classification
Digitalocean controls GPU infrastructure and sells access directly. Not a marketplace or hyperscaler resale offer.
05 / COMMERCIALS
Pricing
Indicative published rates. Final cluster pricing depends on commit length, storage, networking, and capacity.
Hourly rates
$0.10 – $6.00 /hr
Monthly rates
$0.00 – $1,600 /mo
Across 40 published SKUs spanning B200, H200, H100, MI300X.
Reviewed Jun 4, 2026
07 / NEXT
Talk to Digitalocean
viabandwidth does not sit between you and the provider. Go straight to their site.
digitalocean.com
Pricing pages, quote forms, and sales routes live on the provider’s own site.
Profile pages, buyer guides, and model explainers stay open. Vendor packages cover what shows on this profile; verification stays independent and is never for sale.