Specifications Compared
| Spec | GAUDI2 | L40 |
|---|---|---|
| TDP | 600W | 300W |
| VRAM | 96 GB | 48 GB |
| Memory Type | HBM2e | GDDR6 |
| Architecture | Gaudi | Ada Lovelace |
| Form Factors | OAM | PCIe |
| Interconnect | Ethernet | |
| FP16 Performance | 420 TFLOPS | 90.5 TFLOPS |
| FP32 Performance | 420 TFLOPS | 90.5 TFLOPS |
| Memory Bandwidth | 2,460 GB/s | 864 GB/s |
Performance Analysis
Gaudi 2 outperforms L40 significantly in raw compute and memory specs, enabling superior handling of large-scale AI workloads. Its 420 TFLOPS FP16 and FP32 throughput dwarfs L40's 90.5 TFLOPS, meaning Gaudi 2 processes tensor operations over 4 times faster. This delta translates to quicker training epochs for deep learning models and faster inference latency under high throughput.
Memory capacity and bandwidth further separate them: Gaudi 2's 96 GB HBM2e VRAM supports larger batch sizes than L40's 48 GB GDDR6, reducing the need for model sharding in LLM training. The 2460 GB/s bandwidth versus 864 GB/s minimizes data transfer bottlenecks, allowing sustained high utilization during forward and backward passes.
Power efficiency tilts toward L40 at 300W TDP compared to 600W, potentially lowering operational costs in dense deployments. However, for FP16/FP32 balanced workloads like transformer training, Gaudi 2's specs yield higher effective throughput per dollar despite higher rental rates.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Gaudi 2
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() LeaderGPU | 8×Intel Gaudi 2 96GB VRAM | 96GB | 64 vCPU 2048GB RAM 96174GB Storage | Netherlands | $0.91/GPU/hr $7.29/hr total (8×) | Available | ||
![]() Denvr | 8×Intel Gaudi 2 96GB VRAM | 96GB | 160 vCPU 1024GB RAM 30400GB Storage | Virginia | $1.25/GPU/hr $10.00/hr total (8×) |
L40
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() TensorDock | NVIDIA L40S 48GB VRAM | 48GB | 0 vCPU 0GB RAM | Wolverhampton | $0.55/GPU/hr | Available | ||
![]() RunPod | NVIDIA L40 48GB VRAM | 48GB | 8 vCPU 94GB RAM | 🌍global | $0.82/GPU/hr | |||
![]() Massed Compute | NVIDIA L40 48GB VRAM | 48GB | 14 vCPU 72GB RAM 625GB Storage | Iowa | $0.86/GPU/hr | Available | ||
![]() RunPod | NVIDIA L40S 48GB VRAM | 48GB | 16 vCPU 94GB RAM | 🌍global | $0.86/GPU/hr | |||
![]() Massed Compute | 2×NVIDIA L40 48GB VRAM | 48GB | 26 vCPU 144GB RAM 1250GB Storage | Iowa | $0.86/GPU/hr $1.72/hr total (2×) | Available |
When to Choose the Gaudi 2
Select Gaudi 2 for memory-bound AI training tasks requiring over 48 GB VRAM. Its 96 GB HBM2e and 2460 GB/s bandwidth excel in large batch sizes for LLMs, where L40's 48 GB GDDR6 limits scale. The 420 TFLOPS FP16/FP32 performance accelerates convergence in distributed setups via Ethernet interconnect.
Gaudi 2 suits high-performance computing environments tolerant of 600W TDP and $1.08 per hour average pricing.
When to Choose the L40
Choose L40 for cost-sensitive inference or lighter workloads where 48 GB GDDR6 VRAM suffices. Its lower $0.67 per hour starting price and $0.89 average across 14 offers provide better availability and value. The 300W TDP enables denser cloud deployments without excessive power draw.
L40 fits graphics-accelerated tasks or fine-tuning smaller models, leveraging the newer Ada Lovelace architecture in PCIe form factors.
Use Cases
Gaudi 2's 96 GB HBM2e VRAM and 2460 GB/s bandwidth support massive batch sizes for large LLMs. Its 420 TFLOPS FP16 outperforms L40's 90.5 TFLOPS.
L40's lower 300W TDP and $0.67 per hour pricing suit high-volume inference. 48 GB GDDR6 handles most deployed model sizes efficiently.
Gaudi 2's superior 420 TFLOPS FP32 speeds up gradient computations. High VRAM prevents out-of-memory errors on parameter-heavy models.
Both GPUs manage diffusion models well, but L40 offers cheaper access at $0.89 average per hour. Gaudi 2 provides faster generation via higher bandwidth.
Gaudi 2's 2460 GB/s bandwidth accelerates simulations with large datasets. 96 GB VRAM fits complex scientific models without partitioning.
Frequently Asked Questions
Which GPU has more VRAM: Gaudi 2 or L40?▾
Gaudi 2 offers 96 GB HBM2e VRAM, twice the 48 GB GDDR6 of L40. This makes Gaudi 2 better for large models. L40 suffices for smaller workloads.
How do their prices compare in the cloud?▾
L40 starts at $0.67 per hour with an average of $0.89 across 14 offers. Gaudi 2 begins at $0.91 per hour averaging $1.08 across 2 offers. L40 provides more availability.
What is the FP16 performance difference?▾
Gaudi 2 delivers 420 TFLOPS FP16, over 4 times L40's 90.5 TFLOPS. This gap accelerates AI training significantly. Both have matching FP16 and FP32 rates.
Which has higher memory bandwidth?▾
Gaudi 2 achieves 2460 GB/s, nearly 3 times L40's 864 GB/s. Higher bandwidth reduces bottlenecks in data-heavy tasks. It supports larger batches effectively.
What are their power consumptions?▾
L40 uses 300W TDP, half of Gaudi 2's 600W. Lower TDP lowers cooling needs for L40. Gaudi 2 trades efficiency for raw performance.
Which is newer: Gaudi 2 or L40?▾
L40 uses 2023 Ada Lovelace architecture, newer than Gaudi 2's 2022 Gaudi design. Architecture recency may influence software optimizations. Performance specs still favor Gaudi 2.
Which is cheaper to rent, the Gaudi 2 or the L40?▾
Cloud rental prices for both the Gaudi 2 and L40 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the Gaudi 2 have compared to the L40?▾
The Gaudi 2 has 96 GB of HBM2e memory. The L40 has 48 GB of GDDR6 memory.
Can I find Gaudi 2 and L40 GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the Gaudi 2 and the L40?▾
The Gaudi 2 uses the Gaudi architecture (2022) while the L40 uses Ada Lovelace (2023). The Gaudi 2 delivers 4.6x the FP16 throughput and 2.8x the memory bandwidth of the L40.




