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B300 vs L40S

Explore a head to head comparison of specifications, performance, and pricing.

B300

The NVIDIA B300 delivers high-performance computing capabilities for AI, machine learning, and data science applications.

ManufacturerNVIDIA
GPU Architecture
Average Price$27.24/hr
GPU VRAM288 GB
Cloud Availability1 clouds
System Memory2200 GB
CPU Cores240
Storage6.0 TB

L40S

The NVIDIA L40S delivers high-performance computing capabilities for AI, machine learning, and data science applications.

ManufacturerNVIDIA
GPU Architecture
Average Price$4.94/hr
GPU VRAM48 GB
Cloud Availability7 clouds
System Memory1536 GB
CPU Cores142
Storage30.7 TB

B300 vs L40S: Which Should You Choose?

The B300 offers 288 GB of VRAM — 6× the 48 GB on the L40S — making it better suited for large model workloads that require holding more parameters in GPU memory. On FP16 throughput, the L40S delivers 91.61 TFLOPS versus 1 TFLOPS on the B300 — 92× faster for mixed-precision training and inference. Memory bandwidth favors the L40S at 0.86 TB/s compared to 0.01 TB/s on the B300, which directly impacts inference latency for memory-bandwidth-bound models. Architecturally, the B300 is built on Blackwell Ultra while the L40S uses Ada Lovelace, reflecting different generational capabilities and optimizations. On Shadeform, the L40S starts from $0.74/hr versus $7.40/hr for the B300 — 900% more expensive — reflecting the performance premium. The L40S is available across 7 cloud providers on Shadeform compared to 1 for the B300, giving more options for region and pricing flexibility.

B300 — Best Use Cases

  • Next-generation LLM pre-training at scale
  • Trillion-parameter model inference
  • Ultra-high-throughput AI workloads
  • Advanced HPC and scientific computing

Choose B300 when:

  • You need 288 GB+ VRAM for large models or long context windows
  • Maximum performance justifies the higher cost
  • Your workload does not require peak FP16 throughput
  • Your preferred provider already has availability

L40S — Best Use Cases

  • LLM inference and model serving
  • Image generation and diffusion models
  • Smaller fine-tuning runs
  • Cost-efficient GPU compute

Choose L40S when:

  • 48 GB VRAM is sufficient for your workload
  • Cost efficiency is your primary concern
  • You are training large models or running high-throughput inference
  • You need flexibility across multiple cloud providers or regions

See how the B300 & L40S compare

Compare detailed hardware specifications and average pricing for the B300 and L40S.

Compare Hardware Specifications

B300L40S
GPU Type
B300
L40S
VRAM per GPU
288 GB
48 GB
Manufacturer
NVIDIA
NVIDIA
Architecture
Blackwell Ultra
Ada Lovelace
Interconnect
SXM6
PCIe Gen4
Memory Bandwidth
8 TB/s
864 GB/s
FP16 TFLOPS
1,231.8 TFLOPS (16:1)
91.61 TFLOPS (1:1)
CUDA Cores
20480
18176
Tensor Cores
640 (5th Gen)
568 (4th Gen)
RT Cores
N/A
142 (3rd Gen)
Base Clock
1665 MHz
1110 MHz
Boost Clock
2032 MHz
2520 MHz
TDP
1000W
350W
Process Node
TSMC 4NP
TSMC 4N
Data Formats
FP4, FP6, FP8, INT8, BF16, FP16, TF32, FP32, FP64
INT4, INT8, FP8, BF16, FP16, TF32, FP32

Compare Average On-Demand Pricing

B300L40S
1 GPU
$7.40 /hr
$1.27 /hr
2 GPUs
$14.80 /hr
$2.60 /hr
4 GPUs
$29.20 /hr
$5.18 /hr
8 GPUs
$57.56 /hr
$8.70 /hr

Frequently Asked Questions: B300 vs L40S

The main differences are VRAM (288 GB vs 48 GB), FP16 throughput (1 vs 91.61 TFLOPS), architecture (Blackwell Ultra vs Ada Lovelace). The B300 uses the Blackwell Ultra architecture while the L40S is based on Ada Lovelace, giving each GPU different generational capabilities.

The L40S is generally better for large language model training due to its higher throughput and 48 GB of VRAM, which allows fitting larger models or larger batch sizes in a single pass. For smaller models or fine-tuning tasks where cost matters more, both GPUs can be effective.

On Shadeform, the L40S is available from $0.74/hr. The B300 starts from $7.40/hr. Prices vary by provider, region, and contract length. Reserved commitments can reduce hourly costs significantly compared to on-demand pricing.

The B300 has more VRAM at 288 GB, compared to 48 GB on the L40S. Higher VRAM allows you to run larger models without quantization, use longer context windows, and process larger batch sizes — all of which improve throughput and reduce latency for memory-bound workloads.

Based on TFLOPS per dollar, the L40S offers better raw compute value at current Shadeform on-demand rates. However, the best choice depends on your specific workload — if you need the extra VRAM or throughput of the B300, paying the premium may be justified by faster job completion and lower total cost.

The L40S is currently available across 7 cloud providers on Shadeform's network, compared to 1 for the B300. Shadeform lets you deploy either GPU across all available providers from a single platform, so you can always find available capacity without manually checking each cloud.

Mixing different GPU types in a single training cluster is generally not recommended, as it creates performance bottlenecks where faster GPUs wait for slower ones. For best results, use a homogeneous cluster of either B300 or L40S. Shadeform supports on-demand clusters of up to 64 GPUs of the same type with no commitment required.

Explore B300 & L40S Instances

Browse available instances with B300 and L40S GPUs. Filter by provider, availability, and more to find the perfect instance for your needs.

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