Lowest observed rate
Akamai Cloud Computing provides the lowest row in this exact evidence set at $1.5000 per GPU-hour. That is a list-price observation, not proof that capacity is rentable now.
Provider and GPU decision sheet
Akamai Cloud Computing RTX 6000 GPU pricing
Compare Akamai Cloud Computing RTX 6000 GPU prices: 132 official-source rates across 33 regions, $1.500–$1.500/GPU-hour. Estimate monthly cost.
This evidence snapshot is older than 18 hours. The calculator is paused until Guardian publishes a verified refresh; use the official evidence links below meanwhile.
Decision readout
What the current evidence says
Price dispersion
The highest row is 0.0% above the lowest. At 160 GPU-hours, selecting opposite ends of the observed range changes the compute line item by $0.00.
Capacity boundary
132 of 132 rates carry separate deployment-eligibility evidence. That signal is not live stock; unknown stays unknown and never inherits confidence from a fresh price.
This page isolates Akamai Cloud Computing and RTX 6000, so regional configuration choices are compared without mixing another provider's commercial model. The 33 represented regions and 1 distinct normalized prices make this a configuration decision sheet rather than a keyword variant. Market types present: on demand.
Side-specific evidence profile
What each provider contributes to this comparison
The profile below prevents a large catalog from silently overwhelming a smaller one. Counts, regions, access models and observed price bands are stated independently for every provider.
Official configuration set
Akamai Cloud Computing
Akamai Cloud Computing contributes 132 qualifying configurations and 132 distinct source records. Akamai Cloud Computing's observed price band runs from $1.5000 to $1.5000 per GPU-hour, equivalent to $240.00–$240.00 for 160 GPU-hours.
Akamai Cloud Computing covers 33 named regions: ap-northeast, ap-south, ap-southeast, ap-west, au-mel, br-gru, ca-central, de-fra-2 and 25 more. The included node configurations range from 1 to 4 GPUs, with 132 on-demand and 0 spot records.
Akamai Cloud Computing has independent deployment-eligibility evidence for 132 of 132 rows. This does not assert live stock. Its latest included price observation is 2026-08-13. GPU models in this exact comparison are RTX 6000.
- Configurations
- 132
- Distinct source keys
- 132
- Named regions
- 33
- Deployability evidenced
- 132/132
Transparent scenario calculator
Convert hourly rates into your budget
The calculation multiplies GPU count by hours per GPU and the selected normalized rate. It excludes storage, egress, support, taxes, reservations and idle orchestration overhead.
Configuration-level evidence
Rates included in this decision
Every row preserves the source configuration and observation date. Node rates are divided by GPU count to produce the normalized comparison. Equal normalized prices can still represent different regions, node sizes or access conditions.
| Provider / configuration | GPU | Region | Market | Node price | GPU-hour | 160h cost | Availability | Evidence |
|---|---|---|---|---|---|---|---|---|
| Akamai Cloud Computingakamai:g1-gpu-rtx6000-1:ap-northeast:on_demand | RTX 6000Turing 24GB · 1 GPU/node | ap-northeast | on demand | $1.5000 | $1.5000 | $240.00 | unavailableexact configuration · 2026-08-13 | Official source ↗Checked 2026-08-13 |
| Akamai Cloud Computingakamai:g1-gpu-rtx6000-1:ap-south:on_demand | RTX 6000Turing 24GB · 1 GPU/node | ap-south | on demand | $1.5000 | $1.5000 | $240.00 | unavailableexact configuration · 2026-08-13 | Official source ↗Checked 2026-08-13 |
| Akamai Cloud Computingakamai:g1-gpu-rtx6000-1:ap-southeast:on_demand | RTX 6000Turing 24GB · 1 GPU/node | ap-southeast | on demand | $1.5000 | $1.5000 | $240.00 | unavailableexact configuration · 2026-08-13 | Official source ↗Checked 2026-08-13 |
| Akamai Cloud Computingakamai:g1-gpu-rtx6000-1:ap-west:on_demand | RTX 6000Turing 24GB · 1 GPU/node | ap-west | on demand | $1.5000 | $1.5000 | $240.00 | unavailableexact configuration · 2026-08-13 | Official source ↗Checked 2026-08-13 |
| Akamai Cloud Computingakamai:g1-gpu-rtx6000-1:au-mel:on_demand | RTX 6000Turing 24GB · 1 GPU/node | au-mel | on demand | $1.5000 | $1.5000 | $240.00 | unavailableexact configuration · 2026-08-13 | Official source ↗Checked 2026-08-13 |
| Akamai Cloud Computingakamai:g1-gpu-rtx6000-1:br-gru:on_demand | RTX 6000Turing 24GB · 1 GPU/node | br-gru | on demand | $1.5000 | $1.5000 | $240.00 | unavailableexact configuration · 2026-08-13 | Official source ↗Checked 2026-08-13 |
| Akamai Cloud Computingakamai:g1-gpu-rtx6000-1:ca-central:on_demand | RTX 6000Turing 24GB · 1 GPU/node | ca-central | on demand | $1.5000 | $1.5000 | $240.00 | unavailableexact configuration · 2026-08-13 | Official source ↗Checked 2026-08-13 |
| Akamai Cloud Computingakamai:g1-gpu-rtx6000-1:de-fra-2:on_demand | RTX 6000Turing 24GB · 1 GPU/node | de-fra-2 | on demand | $1.5000 | $1.5000 | $240.00 | unavailableexact configuration · 2026-08-13 | Official source ↗Checked 2026-08-13 |
Showing up to eight lowest normalized rows per provider (8 of 132) so one large catalog cannot crowd out the other side. Open the global interactive database to filter the complete catalog.
Comparison discipline
What this page can and cannot decide
It can compare list-price evidence
All included rows use fresh or verified official sources, USD pricing and a common per-GPU-hour unit. The page is regenerated when source evidence changes.
It cannot promise capacity
A fresh price is not inventory. Availability is shown only when a separate exact-configuration source supports it, with its own observation clock and limitations.
It exposes the omitted costs
Networking, storage, support, taxes, commitments, setup work and interruption risk can change total cost. Confirm those terms before purchasing.
It retires weak URLs
This page exists only while automated evidence and uniqueness thresholds pass. One failed cycle removes it from the index; three consecutive failed cycles retire the route.
Adjacent decisions
Continue with the closest evidence sets
These links are selected by shared provider or GPU model, so the next page changes one decision variable instead of sending you to a generic article.
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