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AWS rates its new Graviton5 R9g instances up to 25% better per vCPU than R8g but ships the launch without prices, which leaves break-even arithmetic and your own load test as the only evidence you have.
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The gain has a shape. Graviton5 pairs the faster DDR5 with an L3 cache five times the size of Graviton4's [4], and the memory transfer rate alone works out about 57% higher [19]. That points at a specific kind of code: working sets that spilled out of the old L3 and now fit, and scans that stream from DRAM and were waiting on it. A service whose tail latency is set by a downstream call or a contended lock keeps that tail regardless of how fast the local memory is.
AWS also publishes per-segment figures: up to 30% faster for databases, up to 35% faster for web applications and up to 35% faster for machine learning [9]. Ranking web applications above databases on a memory-optimised part is worth a raised eyebrow, and no methodology accompanies either number [9]. For the database figure to transfer, your database would need to be bound on compute and memory in roughly the same proportion as the one AWS measured, which for most fleets means first checking whether it is actually waiting on EBS.
Then the arithmetic that decides a commitment. If a vCPU does 25% more work, the same throughput needs 1/1.25 of the vCPUs, which is 20% fewer [20]. That is the break-even: R9g can carry up to a 25% higher price per vCPU-hour and still land at the same cost per unit of work [20]. Neither AWS announcement states an hourly price for R9g or R9gd [22], so the "best price performance for memory-intensive workloads" line [17] cannot be checked against the launch material that makes it.
The adoption cost is the part that is documented. Multi-arch container images built for Arm64 run without changes [13], and R9gd matches R9g on compute and networking with local NVMe added [23], so an R8g operator is buying a resize and a load test rather than a port. One thing here is plain good engineering: the Nitro Isolation Engine mediates virtual machine memory, register state and I/O through a minimal API set, and AWS says formal verification of that component makes Nitro the first formally verified cloud hypervisor [14].
Ranked by verification strength, evidence, and original report placement.
Amazon EC2 R9g and R9gd instances, powered by AWS Graviton5 processors, are generally available; they are memory-optimized and each family comes in 11 sizes, from medium to metal-48xl.
Graviton5 uses DDR5 memory at 8800 MT/s, up from 5600 MT/s in Graviton4, which AWS describes as the fastest memory available in the cloud.
Graviton5 has a 5x larger L3 cache than Graviton4, for better data locality.
R9g and R9gd are available in US East (N. Virginia, Ohio), US West (Oregon) and EU (Frankfurt), and can be purchased via Savings Plans, On-Demand, Spot instances, Dedicated instances or Dedicated hosts.
R9gd offers the same compute and networking performance as R9g, with the addition of local NVMe-based SSD block-level storage.
R9g offers up to 2x higher network and Amazon EBS bandwidth for the largest instance sizes, up to 100 Gbps network and up to 72 Gbps EBS on the 48xlarge.
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2 articles · August 31, 2026
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Evidence-backed comparisons of source perspectives and observed adoption signals. Read the methodology
Which Builder, Operator, and Investor concerns the observed source mix emphasized—not a truth score.
Evidence, demonstrated adoption, hype gap, incentives, and confidence are assessed independently, each on its own current evidence. How these are measured.
One vendor, two posts, ninety minutes apart
That is the whole record. AWS is the authoritative source for its own specifications, so the DDR5 rates, the 11 sizes, the bandwidth ceilings and the four-region list stand without corroboration. Every comparative number does not: the 25% per vCPU that the entire cost case rests on comes with no workload, harness or size, and the security headline defers its scope and assumptions to a white paper neither post includes.
Shipping in four regions, nobody counted yet
Availability is genuine and dated: generally available 31 August 2026 across N. Virginia, Ohio, Oregon and Frankfurt, with the full spread of purchase models including Spot and Dedicated Hosts. Beyond that there is nothing to measure — no customer, no third-party run, no usage disclosure. The one prior-deployment fact in the reporting is that the Nitro Isolation Engine already shipped with C9g and M9g, which speaks to the platform's rollout rather than to anyone adopting R9g.
Superlatives ahead of the arithmetic
Fastest memory in the cloud, best price performance, first formally verified cloud hypervisor, 30/35/35 by workload — and then the one number that decides whether any of it saves money is missing. The break-even math is easy enough to run: 25% more work per vCPU means roughly 20% fewer vCPUs, so R9g can cost a quarter more per vCPU-hour and merely tie. Without a published rate you cannot tell which side of that line AWS has placed it on, which makes the price-performance claim the most overstated thing in the launch.
The chip's designer is also its only reviewer
AWS designed the processor, rents the instance, and supplied the sole benchmark. It also wins twice on a successful migration, since every workload that moves lands on silicon it owns rather than on Intel's or AMD's — and the tooling waved at the reader, a Graviton Savings Dashboard and AWS Transform for Java, is conversion machinery. The most cautious sentence in the launch is the one pointing at a white paper for scope and assumptions, which is where an incentive to overclaim usually meets its lawyers.
Sure what shipped, unsure how much faster
The factual spine is solid — families, sizes, regions, storage, bandwidth, purchase models — and the spec deltas against Graviton4 are internally consistent and checkable. The magnitudes are not: as published, the 25%, the workload percentages and the price-performance claim cannot be falsified by anyone outside AWS. That split is the whole reason the honest next step is a load test on your own workload rather than a spreadsheet built from this launch.