NVIDIA RTX 4090 24GB
Accelerator profile with 24 GB GDDR6X, 16,384 CUDA cores, and 82.6 FP32 TFLOPS.
- VRAM
- 24 GB
- CUDA cores
- 16,384
- FP32
- 82.6
- TDP
- 450 W
Benchmarks
Sample benchmark scores are rendered as horizontal ECharts bars with an HTML fallback table.
| Geekbench OpenCL | 318,000 |
|---|---|
| Blender BMW | 24 s |
Plans with this GPU
Sample GPU tariffs using this accelerator, sorted by monthly price in the active currency.
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| Plan | Provider | GPU | CPU | RAM | Location | Price | Action |
|---|---|---|---|---|---|---|---|
| No sampled plans for this GPU yet. | |||||||
Compare
GPU-to-GPU comparison pages will attach here when comparison content exists.
What NVIDIA RTX 4090 24GB is good for
NVIDIA RTX 4090 24GB is an Ada Lovelace GPU for rented servers where high single-card throughput matters more than data-center niceties. It fits rendering, batch inference, model experiments, and CUDA-heavy jobs that stay inside 24 GB VRAM and can tolerate consumer-class hosting trade-offs.
Buying signals
- NVIDIA RTX 4090 24GB uses 24 GB of GDDR6X memory. That is useful for many inference and rendering jobs, but it is still a hard VRAM ceiling.
- NVIDIA RTX 4090 24GB exposes 16,384 CUDA cores and 512 tensor cores. The card can be fast per dollar when the host system keeps it fed.
- NVIDIA RTX 4090 24GB has a 450 W TDP. Power, cooling, chassis density, and replacement terms are part of the real hosting product.
- NVIDIA RTX 4090 24GB uses PCIe 4.0 x16. The plan still needs enough CPU, RAM, NVMe throughput, and network bandwidth to avoid idle GPU time.
- A low RTX 4090 monthly price can hide paid backups, weak snapshot terms, thin egress allowances, or a far-away data center. The GPU name is not the SLA.
Hardware profile
NVIDIA RTX 4090 24GB belongs to the Ada Lovelace generation. NVIDIA RTX 4090 24GB uses 24 GB of GDDR6X memory. NVIDIA RTX 4090 24GB provides 1,008 GB/s of memory bandwidth.
NVIDIA RTX 4090 24GB carries 16,384 CUDA cores. NVIDIA RTX 4090 24GB carries 512 tensor cores. NVIDIA RTX 4090 24GB delivers 82.6 FP32 TFLOPS in the current hardware profile.
NVIDIA RTX 4090 24GB delivers 330 FP16 TFLOPS in the same profile. NVIDIA RTX 4090 24GB uses a PCIe 4.0 x16 interface. NVIDIA RTX 4090 24GB has a listed release date of October 12, 2022.
HostScout data for this page was refreshed on July 4, 2026. Affiliate links may appear on HostScout, but affiliate status does not change the technical verdict or the ranking logic.
Where it fits in GPU hosting
Choose NVIDIA RTX 4090 24GB when the job rewards raw single-GPU speed and fits cleanly in 24 GB VRAM. Rendering queues, image generation workers, smaller inference services, video processing, and short CUDA experiments can make sense on this card.
Skip NVIDIA RTX 4090 24GB when the workload needs enterprise memory features, 48 GB or 80 GB VRAM, or predictable large-model training capacity. A fast consumer-class GPU is a poor bargain if the job fails because of VRAM, storage IOPS, egress cost, or vague replacement guarantees.
For US and UK buyers, normalize every offer into USD per month before comparing plans. HostScout plan data currently lists one RTX 4090, 8 CPU cores, 32 GB RAM, 300 GB NVMe storage, 10 TB bandwidth, Ubuntu, DDoS protection, and no included backups at $439 per month. That plan is located in Moscow, so latency, payment, compliance, and data movement can matter more than the GPU price.
RTX 4090 versus nearby GPUs
NVIDIA A10 24GB also has 24 GB VRAM. NVIDIA A10 24GB uses GDDR6 memory, 9,216 CUDA cores, 600 GB/s memory bandwidth, and a 150 W TDP. It is the calmer hosting choice when lower power matters more than peak throughput.
NVIDIA L40S 48GB has 48 GB VRAM. NVIDIA L40S 48GB uses GDDR6 ECC memory, 18,176 CUDA cores, 864 GB/s memory bandwidth, and a 350 W TDP. It is the cleaner step up when 24 GB VRAM is already tight.
NVIDIA RTX 4090 24GB has higher memory bandwidth than NVIDIA L40S 48GB in the current hardware profile. NVIDIA L40S 48GB has more VRAM and lower TDP. The better rented server depends on model size, uptime expectations, support terms, and the provider’s replacement policy.
Practical verdict
NVIDIA RTX 4090 24GB is a strong rented GPU when you need Ada Lovelace throughput, 24 GB VRAM, and a monthly bill that stays far below larger data-center accelerators. It is not the conservative choice for long-running production AI systems that need ECC memory, strict SLA language, or larger VRAM.
Before you rent it, price the whole server. Add CPU allocation, RAM, NVMe storage, snapshots, backups, egress traffic, migration time, minimum contract length, and remote hands. If the provider is vague on any of those terms, the RTX 4090 label is doing more work than the contract.