NVIDIA Ada Lovelace

NVIDIA L40S 48GB

Accelerator profile with 48 GB GDDR6 ECC, 18,176 CUDA cores, and 91.6 FP32 TFLOPS.

Released 2023-08-08
VRAM
48 GB
CUDA cores
18,176
FP32
91.6
TDP
350 W

Benchmarks

Sample benchmark scores are rendered as horizontal ECharts bars with an HTML fallback table.

Benchmarks
Geekbench OpenCL303,000
Blender BMW22 s

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What NVIDIA L40S 48GB Is Good For

NVIDIA L40S 48GB is an Ada Lovelace data-center GPU for rented GPU servers that need more VRAM than 24 GB cards without jumping to A100 pricing. It fits inference, rendering, virtual workstation, and batch AI jobs where PCIe deployment and 48 GB GDDR6 ECC matter.

Buying Signals

  • NVIDIA L40S 48GB has 48 GB of GDDR6 ECC memory. That is the main reason to choose it over an NVIDIA A10 24GB or NVIDIA RTX 4090 24GB.
  • NVIDIA L40S 48GB uses PCIe 4.0 x16. That makes it easier to rent in conventional dedicated GPU servers than SXM-class accelerators.
  • NVIDIA L40S 48GB has a 350 W TDP. The server still needs serious cooling, power capacity, and enough chassis airflow.
  • NVIDIA L40S 48GB delivers 91.6 FP32 TFLOPS in the current hardware profile. That favors rendering, simulation-adjacent compute, and mixed GPU workloads.
  • A cheap monthly GPU line can still hide paid backups, low storage IOPS, weak CPU allocation, outbound traffic charges, or a long minimum term.

Hardware Profile

NVIDIA L40S 48GB belongs to the Ada Lovelace generation. NVIDIA L40S 48GB carries 18,176 CUDA cores. NVIDIA L40S 48GB carries 568 Tensor cores.

NVIDIA L40S 48GB delivers 362 FP16 TFLOPS in the current hardware profile. NVIDIA L40S 48GB delivers 91.6 FP32 TFLOPS in the same profile.

NVIDIA L40S 48GB uses 48 GB of GDDR6 ECC memory. NVIDIA L40S 48GB has 864 GB/s of memory bandwidth. NVIDIA L40S 48GB uses a PCIe 4.0 x16 interface.

The listed release date is August 8, 2023. HostScout data for this page was refreshed on July 4, 2026.

Where It Fits in GPU Hosting

Choose NVIDIA L40S 48GB when a 24 GB card fails on model size, scene size, or batch size. The card gives you twice the VRAM of NVIDIA A10 24GB and NVIDIA RTX 4090 24GB in the current hardware set.

Do not treat L40S as a universal AI shortcut. NVIDIA A100 80GB has 80 GB HBM2e memory and 2,039 GB/s of memory bandwidth. If the job is blocked by memory bandwidth or needs an 80 GB memory pool, the L40S is the wrong place to save money.

Check the host around the GPU before you rent it. A useful L40S server needs enough CPU cores, RAM, local NVMe, predictable network bandwidth, snapshots, backups, DDoS protection, and a clear SLA. The accelerator name does not fix a thin server plan.

L40S Versus Nearby GPUs

NVIDIA A10 24GB is the lower-power alternative. NVIDIA A10 24GB has 24 GB GDDR6 memory, 600 GB/s memory bandwidth, and a 150 W TDP. It can be the better rental when the workload fits inside 24 GB VRAM.

NVIDIA RTX 4090 24GB is the consumer-adjacent comparison point. NVIDIA RTX 4090 24GB has 24 GB GDDR6X memory, 1,008 GB/s memory bandwidth, and a 450 W TDP. It may look fast in raw figures, but hosting terms, cooling, and support matter more than the badge.

NVIDIA A100 80GB is the memory-heavy accelerator in this set. NVIDIA A100 80GB has 80 GB HBM2e memory, 312 FP16 TFLOPS, and a 400 W TDP. It is the stronger candidate when the workload needs the larger memory pool.

Practical Verdict

NVIDIA L40S 48GB is the pragmatic rented GPU when 24 GB VRAM is too small and A100 80GB is too expensive. It gives US and UK teams a middle tier for inference, rendering, and batch workloads that need data-center hardware rather than a bargain gaming-card server.

Normalize offers into USD per month before comparing providers. Then add storage, backups, snapshots, egress traffic, support level, migration time, and renewal terms. Affiliate links may appear on HostScout, but affiliate status does not change the hardware verdict.