NVIDIA, l’inventeur du GPU, œuvre à faire avancer l’IA, le HPC, les jeux vidéo, la création numérique, les véhicules autonomes et la robotique.
01 / ANALYST READ
Our read
NVIDIA 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: 7 checks
02 / OVERVIEW
Company overview
Operator class
Direct operator
Operating entity
NVIDIA-ASIA-IN-GW-AP NVIDIA Asia Internet Gateway
GPU models tracked
L4, L40S, V100 and 4 more
Registered in
US
Services
GPU compute, Bare metal, Managed services and 1 more
Network footprint
119 prefixes / 36k 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.
A100
QuoteClaim to publish
VRAM 80 GBClass SXM
Best for Mature training stacks that value known performance and broad tooling support.
H100
QuoteClaim to publish
VRAM 80 GBClass SXM
Best for Serious model training where time-to-result outweighs hourly cost.
Inference
For predictable production serving, latency targets, and steady utilisation.
L4
QuoteClaim to publish
VRAM 24 GBClass Ada
Best for Cost-efficient inference for smaller production models and API serving.
L40S
QuoteClaim to publish
VRAM 48 GBClass Ada
Best for Cost-effective production inference and image generation at scale.
V100
QuoteClaim to publish
Best for V100 workloads.
T4
QuoteClaim to publish
VRAM 16 GBClass Turing
Best for Cost-optimised inference for smaller models with predictable load.
04 / TRUST
Verification
Evidence that there's a real operator behind the offer.
Confirmed
Network ownership
NVIDIA operates its own network — 36k IPv4 addresses across 119 prefixes — rather than presenting another hyperscaler's capacity as its own.
Confirmed
Direct operator classification
NVIDIA 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.
No published rates tracked. Visit NVIDIA’s site for a quote.
07 / NEXT
Talk to NVIDIA
viabandwidth does not sit between you and the provider. Go straight to their site.
nvidia.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.