Rent NVIDIA GeForce RTX 4080 in the Cloud
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NVIDIA GeForce RTX 4080 Technical Specifications
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Frequently Asked Questions
NVIDIA GeForce RTX 4080 full datasheet — the specs that matter for deep learning
NVIDIA GeForce RTX 4080 is a 2022-generation Ada Lovelace card with 16 GB of GDDR6X memory and 717 GB/s bandwidth. Compute peaks at 48.7 FP16 TFLOPS and 24.4 FP32 TFLOPS; TDP sits at 320W.
The VRAM/bandwidth pairing is the defining feature for machine learning work — it determines what model sizes are accessible and how hard the card can be pushed during production inference. Power draw and cooling requirements mean most NVIDIA GeForce RTX 4080 deployments live in data centres rather than workstations, which is why most NVIDIA GeForce RTX 4080 access in practice comes via the cloud.
Check the NVIDIA GeForce RTX 4080 page for complete specifications and related GPU matchups.
Is NVIDIA GeForce RTX 4080 faster than A100 for fine-tuning?
Raw compute on NVIDIA GeForce RTX 4080 peaks at 48.7 FP16 TFLOPS and 24.4 FP32 TFLOPS, with 717 GB/s of memory bandwidth feeding the compute units. The Ada Lovelace architecture brings tensor cores optimised for BF16/FP16 / FP8 mixed precision — the formats that matter most for modern transformers.
Real-world model training throughput scales close to theoretical peaks on large batch sizes; smaller batches are memory-bound. For low-latency inference, tokens-per-second on transformers like Llama 70B depends heavily on quantisation strategy — FP8/INT8 unlock the compute ceiling, FP16 is bandwidth-bound.
Check the NVIDIA GeForce RTX 4080 page for complete specifications and related GPU matchups.
NVIDIA GeForce RTX 4080 alternatives — what else should I consider?
NVIDIA GeForce RTX 4080 is best for workloads where its 16 GB VRAM and Ada Lovelace tensor cores are well-matched: Gaming, inference, fine-tuning.
If your workload needs significantly more memory (e.g., training frontier-scale models from scratch), NVIDIA GeForce RTX 4080 is undersized and you'd want an H100/H200/B200 class card. If your workload needs less (e.g., small-scale serving on 7B-parameter models), cheaper cards like L4 or RTX 4090 may be more cost-efficient. For the middle band, NVIDIA GeForce RTX 4080 is usually the sensible pick.
Review full specs and related comparisons on the NVIDIA GeForce RTX 4080 page.
Compare with Other GPUs
See how NVIDIA GeForce RTX 4080 stacks up against other popular cloud GPUs in specs, pricing, and availability.